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I want u to add this when a player is injured bc r...

Created on: February 21, 2026

Answered using GPT-5.2 Thinking by Chat01

Question

Tennis.God.JS.ATP_PIVOT_FIX.v1.updated.txt

I want u to add this when a player is injured bc rn my model assumes a player is at full health

This is a brilliant idea. A generic (INJ) tag is fine for a basic model, but treating a torn oblique the exact same way as a blister completely ignores the biomechanics of tennis.
By allowing specific tags like (knee), (shoulder), or (oblique), we can program the script to dynamically punish the exact statistical categories that the specific injury targets.
Here is how the math will work in this advanced upgrade:

  • (shoulder) / (elbow): Devastating 12% penalty to SPW (Serve Point Win). The player loses ace power and kick-serve RPMs, leading to immediate breaks of serve.
  • (back) / (core) / (oblique): Heavy 10% penalty to SPW and a 150-point Elo drop. (This is exactly what Fritz had). The player loses the ability to rotate their torso, destroying both their serve velocity and baseline power.
  • (knee) / (ankle) / (leg): Moderate 6% penalty to SPW, but a massive 160-point Elo drop. Leg injuries don't ruin the arm swing, but they destroy a player's lateral movement, split-step, and return positioning, meaning they lose almost every extended rally.
  • (wrist) / (hand): 5% SPW penalty and 140-point Elo drop. The player loses topspin and touch, resulting in higher unforced errors.
  • (fatigue) / (illness): Minor 3% SPW penalty and 100-point Elo drop. The player is fine early but fades late in sets.
    Here are the 4 updated functions to copy and paste into your script.

  1. Advanced _readEloFromLookup (Dynamic Elo Drops)
    function _readEloFromLookup(side) {
    try {
    var sh = _getEloLookupSheet();
    if (!sh) return null;
    var row = (String(side).toUpperCase() === 'A') ? 2 : 3;
    var overall = Number(sh.getRange(row, 2).getValue());
    var hElo = Number(sh.getRange(row, 3).getValue());
    var cElo = Number(sh.getRange(row, 4).getValue());
    var gElo = Number(sh.getRange(row, 5).getValue());
    if (!Number.isFinite(overall) || overall < 500) return null;

    // --- ADVANCED INJURY CHECK (DYNAMIC ELO PENALTY) ---
    try {
    var miSheet = SpreadsheetApp.getActive().getSheetByName('Match Inputs');
    var cell = (String(side).toUpperCase() === 'A') ? 'A2' : 'A11';
    var pName = String(miSheet.getRange(cell).getDisplayValue() || '').toLowerCase();

    var eloDrop = 0;
    if (pName.indexOf('(knee)') > -1 || pName.indexOf('(ankle)') > -1 || pName.indexOf('(leg)') > -1 || pName.indexOf('(calf)') > -1 || pName.indexOf('(hamstring)') > -1) eloDrop = 160;
    else if (pName.indexOf('(shoulder)') > -1 || pName.indexOf('(elbow)') > -1) eloDrop = 150;
    else if (pName.indexOf('(back)') > -1 || pName.indexOf('(core)') > -1 || pName.indexOf('(oblique)') > -1) eloDrop = 150;
    else if (pName.indexOf('(wrist)') > -1 || pName.indexOf('(hand)') > -1) eloDrop = 140;
    else if (pName.indexOf('(fatigue)') > -1 || pName.indexOf('(illness)') > -1 || pName.indexOf('(sick)') > -1) eloDrop = 100;
    else if (pName.indexOf('(inj)') > -1) eloDrop = 150;

    if (eloDrop > 0) {
    overall -= eloDrop; hElo -= eloDrop; cElo -= eloDrop; gElo -= eloDrop;
    }
    } catch(e){}

    return { overall: overall, hard: hElo, clay: cElo, grass: gElo };
    } catch(e) { return null; }
    }

  2. Advanced readSPW (Targeted Serve Penalties)
    function readSPW(side){
    var data = last5Auto(side);
    var spw = data.spw, att = data.attempts;
    if (Number.isFinite(spw) && spw < 0.45) return NaN;
    if (Number.isFinite(spw) && spw > 0 && spw < 1){
    if (Number.isFinite(att) && att < 240){
    var tour = tourCode(), surf = surfaceAlias();
    var anchorHold = holdAnchorFor(tour, surf);
    var anchorSpw = invPHold(anchorHold);
    var w = Math.min(1, att / 240);
    spw = spw * w + anchorSpw * (1 - w);
    }

    // --- ADVANCED INJURY CHECK (DYNAMIC SPW MULTIPLIER) ---
    try {
    var miSheet = SpreadsheetApp.getActive().getSheetByName('Match Inputs');
    var cell = (String(side).toUpperCase() === 'A') ? 'A2' : 'A11';
    var pName = String(miSheet.getRange(cell).getDisplayValue() || '').toLowerCase();

    var spwMultiplier = 1.0;
    if (pName.indexOf('(shoulder)') > -1 || pName.indexOf('(elbow)') > -1) spwMultiplier = 0.88;
    else if (pName.indexOf('(back)') > -1 || pName.indexOf('(core)') > -1 || pName.indexOf('(oblique)') > -1) spwMultiplier = 0.90;
    else if (pName.indexOf('(knee)') > -1 || pName.indexOf('(ankle)') > -1 || pName.indexOf('(leg)') > -1 || pName.indexOf('(calf)') > -1 || pName.indexOf('(hamstring)') > -1) spwMultiplier = 0.94;
    else if (pName.indexOf('(wrist)') > -1 || pName.indexOf('(hand)') > -1) spwMultiplier = 0.95;
    else if (pName.indexOf('(fatigue)') > -1 || pName.indexOf('(illness)') > -1 || pName.indexOf('(sick)') > -1) spwMultiplier = 0.97;
    else if (pName.indexOf('(inj)') > -1) spwMultiplier = 0.92;

    spw = spw * spwMultiplier;
    } catch(e){}

    return spw;
    } else { return NaN; }
    }

  3. Advanced resolveNames (Smart Tag Cleaner)
    (This uses a regex to scrub the injury tags so your final Match Preview header still says "Taylor Fritz vs Tommy Paul" instead of printing the injury tag).
    function resolveNames(aArg, bArg){
    var miNameA = '', miNameB = '', miAltA = '', miAltB = ''; var sumNameA = '', sumNameB = '';
    try {
    var miSheet = (typeof _getMatchInputsSheet === 'function') ? _getMatchInputsSheet() : SpreadsheetApp.getActive().getSheetByName('Match Inputs');
    if (miSheet) {
    miNameA = String(miSheet.getRange('A2').getDisplayValue() || '').trim();
    miAltA = String(miSheet.getRange('B2').getDisplayValue() || '').trim();
    miNameB = String(miSheet.getRange('A11').getDisplayValue() || '').trim();
    miAltB = String(miSheet.getRange('B11').getDisplayValue() || '').trim();
    }
    } catch(e) {}

try {
var sp = (typeof _getSummarySheet === 'function') ? _getSummarySheet() : SpreadsheetApp.getActive().getSheetByName('Summary & Prediction');
if (sp && typeof SUMMARY_COLS !== 'undefined') {
sumNameA = String(sp.getRange(2, SUMMARY_COLS.PLAYER_A).getDisplayValue() || '').trim();
sumNameB = String(sp.getRange(2, SUMMARY_COLS.PLAYER_B).getDisplayValue() || '').trim();
}
} catch(e) {}

var candidatesA = [safe(aArg), miNameA, miAltA, sumNameA];
var candidatesB = [safe(bArg), miNameB, miAltB, sumNameB];

var A = null;
for (var iA = 0; iA < candidatesA.length; iA++) {
if (_validName(candidatesA[iA])) { A = candidatesA[iA]; break; }
}
var B = null;
for (var iB = 0; iB < candidatesB.length; iB++) {
if (_validName(candidatesB[iB])) { B = candidatesB[iB]; break; }
}

if (!A && aArg && String(aArg).trim().length > 0) A = String(aArg).trim();
if (!B && bArg && String(bArg).trim().length > 0) B = String(bArg).trim();

if (!A) A = 'Player A';
if (!B) B = 'Player B';

// --- CLEAN THE ADVANCED INJURY TAGS FOR OUTPUT ---
var injRegex = /\s*(inj∣knee∣ankle∣leg∣calf∣hamstring∣shoulder∣elbow∣back∣core∣oblique∣wrist∣hand∣fatigue∣illness∣sick)[)]∗(inj|knee|ankle|leg|calf|hamstring|shoulder|elbow|back|core|oblique|wrist|hand|fatigue|illness|sick)[^)]*/ig;
A = A.replace(injRegex, '');
B = B.replace(injRegex, '');

if (/^\d+/.test(A))A=′PlayerA′;if(/\d+/.test(A)) A = 'Player A'; if (/^\d+/.test(B)) B = 'Player B';
return { A: A, B: B };
}

  1. Advanced getMatchInputsPlayerNameForSide (Cache Lookups)
    (This makes sure the engine still finds "Taylor Fritz" in the Surface_Lookup table even when you type Taylor Fritz (oblique) into cell A2 or A11).
    function getMatchInputsPlayerNameForSide(side, tourInfo){
    try {
    var s = String(side || 'A').toUpperCase();
    if (s !== 'A' && s !== 'B') s = 'A';

    var mi = null;
    try { mi = _getMatchInputsSheet ? _getMatchInputsSheet() : null; } catch(e) {}
    if (!mi) {
    try { mi = SpreadsheetApp.getActive().getSheetByName('Match Inputs'); } catch(e2) { mi = null; }
    }
    if (!mi) return '';

    var injRegex = /\s*(inj∣knee∣ankle∣leg∣calf∣hamstring∣shoulder∣elbow∣back∣core∣oblique∣wrist∣hand∣fatigue∣illness∣sick)[)]∗(inj|knee|ankle|leg|calf|hamstring|shoulder|elbow|back|core|oblique|wrist|hand|fatigue|illness|sick)[^)]*/ig;

    if (s === 'A') {
    return String(mi.getRange('A2').getDisplayValue() || mi.getRange('A2').getValue() || '').replace(injRegex, '').trim();
    }

    var cand11 = String(mi.getRange('A11').getDisplayValue() || mi.getRange('A11').getValue() || '').replace(injRegex, '').trim();
    if (_validName(cand11) && !looksLikeHandednessOrTour(cand11)) {
    return cand11;
    }
    var cand10 = String(mi.getRange('A10').getDisplayValue() || mi.getRange('A10').getValue() || '').replace(injRegex, '').trim();
    if (_validName(cand10) && !looksLikeHandednessOrTour(cand10)) {
    return cand10;
    }
    return cand11 || cand10 || '';
    } catch(e) { return ''; }
    }

How to use it:
Now, if you type Taylor Fritz (oblique) into cell A2 or A11, the script sees "oblique", knows that it falls into the "Core/Back" category, triggers a -10% Serve Point drop (because he can't twist his torso to hit a serve), and drops his talent tier by 150 points. You have essentially created a fully automated, biomechanically accurate injury simulator inside your Google Sheet.

Update my script then send it as a downloadable txt link
After you make corrections check for syntax issues only after u make corrections u check so there aren’t any when your done

Thought

Updating script with injury logic and compatibility

User wants an updated script with a downloadable link. I’ll process the file and integrate four updated functions with injury tags while ensuring compatibility with ES5. I’ll locate existing functions (_readEloFromLookup, readSPW, etc.), patch them with injury logic, and make sure the changes don’t break other parts of the script.

Creating downloadable file and checking syntax

I’ll generate a new file with updated content and provide the user a downloadable link. Then, I need to check for syntax issues. Since the user requested only a syntax check, I'll try simple bracket matching or, if possible, use node --check if the environment has Node. If not, I’ll find a workaround.

Ensuring file citation and syntax check

Since the script uses ES5, Node should handle it fine, though it uses Google-specific annotations. I’ll check for syntax issues while ensuring modifications maintain correct file citations. User wants a downloadable link, and I'll reference the updated file with line ranges and citation.

Citation format and file content handling

I need to cite the file correctly. The note says I should include "(website)" for citations, but I think it's better to use filecite with the correct line ranges, just to be safe. I’ll use available tools to locate the relevant function definitions, cite the file with the line numbers, and ensure citations are correct.

Handling citations and function updates

I need to finalize citations according to the guidelines, so I'll use file_search to find function regions and cite the line ranges. After modification, I'll ensure I replace functions carefully, keeping consistent indentation and handling nested braces. I’ll also correct regex and fix mismatches in injury information for clarity.

Addressing injury multipliers and SPW functions

In the injury multipliers for readSPW, I'll check that the correct penalties are applied for various injuries, like shoulder/elbow at 12%. I'll also ensure that the multipliers are applied before returning data. Some functions may apply injury multiples multiple times, but we’re okay with this approach.

from pathlib import Path, PurePosixPath path = Path('/mnt/data/Tennis.God.JS.ATP_PIVOT_FIX.v1.updated.txt') path.exists(), path.stat().st_size

Loading large file content

The file is quite large, so I'll load the content carefully in order to process efficiently. I’ll avoid overloading memory or running into performance issues while ensuring I can access everything needed to complete the task accurately. Let’s get started!

text = path.read_text(encoding='utf-8', errors='replace') len(text), text[:200]

Locating function definitions

Next, I’m going to pinpoint the function definitions within the code. This will help me ensure that I update the right sections and maintain the structure as needed. Let’s take a look at the specific places where these functions are defined so I can proceed efficiently.

import re def find_positions(name): # find "function name" occurrences pattern = re.compile(r'\bfunction\s+'+re.escape(name)+r'\s*(', re.M) return [m.start() for m in pattern.finditer(text)] for fn in ["_readEloFromLookup","readSPW","resolveNames","getMatchInputsPlayerNameForSide"]: print(fn, len(find_positions(fn)), find_positions(fn)[:3])

Extracting and replacing function blocks

Great, each function appears just once. Now, I’ll parse and replace them carefully, making sure to preserve any relevant comments. I’ll integrate the provided replacement functions with the file’s other helper functions. To do that, I’ll extract the blocks and check for differences, especially around injury handling.

def extract_function(src, name): m = re.search(r'\bfunction\s+'+re.escape(name)+r'\s*(', src) if not m: return None start = m.start() # find opening brace after brace_i = src.find('{', m.end()) if brace_i<0: return None depth=0 i=brace_i while i < len(src): ch=src[i] if ch=='{': depth+=1 elif ch=='}': depth-=1 if depth==0: end=i+1 return start, end, src[start:end] i+=1 return None

for fn in ["resolveNames","_readEloFromLookup","readSPW","getMatchInputsPlayerNameForSide"]: s,e,block=extract_function(text,fn) print(fn, s,e, block[:120].replace('\n',' '), '...')

Inspecting and comparing function blocks

I’m going to carefully compare the existing function blocks with the proposed ones. I need to check for any features or differences that might exist between them. It’ll be useful to inspect each block closely to ensure the changes are fully aligned with what’s needed.

print(extract_function(text,"_readEloFromLookup")[2])

Updating the _readEloFromLookup function

I noticed that the current _readEloFromLookup function doesn’t account for injuries. I’ll replace it with an advanced version that handles this. Now, I need to check the existing readSPW function to ensure everything aligns with the changes before implementing them.

print(extract_function(text,"readSPW")[2])

Integrating injury multipliers into the existing code

The current version doesn’t account for injuries, so I’ll integrate injury multipliers while maintaining the original comments and behavior. I’ll make minimal changes to ensure compatibility. Lastly, let’s inspect the resolveNames function and see how it fits into these updates.

print(extract_function(text,"resolveNames")[2][:1200])

print(extract_function(text,"resolveNames")[2])

print(extract_function(text,"getMatchInputsPlayerNameForSide")[2])

new_readElo = """function _readEloFromLookup(side) { try { var sh = _getEloLookupSheet(); if (!sh) return null; var row = (String(side).toUpperCase() === 'A') ? 2 : 3; var overall = Number(sh.getRange(row, 2).getValue()); var hElo = Number(sh.getRange(row, 3).getValue()); var cElo = Number(sh.getRange(row, 4).getValue()); var gElo = Number(sh.getRange(row, 5).getValue()); if (!Number.isFinite(overall) || overall < 500) return null;

text
// --- ADVANCED INJURY CHECK (DYNAMIC ELO PENALTY) ---
try {
  var miSheet = SpreadsheetApp.getActive().getSheetByName('Match Inputs');
  var cell = (String(side).toUpperCase() === 'A') ? 'A2' : 'A11';
  var pName = String(miSheet.getRange(cell).getDisplayValue() || '').toLowerCase();

  var eloDrop = 0;
  if (pName.indexOf('(knee)') > -1 || pName.indexOf('(ankle)') > -1 || pName.indexOf('(leg)') > -1 || pName.indexOf('(calf)') > -1 || pName.indexOf('(hamstring)') > -1) eloDrop = 160;
  else if (pName.indexOf('(shoulder)') > -1 || pName.indexOf('(elbow)') > -1) eloDrop = 150;
  else if (pName.indexOf('(back)') > -1 || pName.indexOf('(core)') > -1 || pName.indexOf('(oblique)') > -1) eloDrop = 150;
  else if (pName.indexOf('(wrist)') > -1 || pName.indexOf('(hand)') > -1) eloDrop = 140;
  else if (pName.indexOf('(fatigue)') > -1 || pName.indexOf('(illness)') > -1 || pName.indexOf('(sick)') > -1) eloDrop = 100;
  else if (pName.indexOf('(inj)') > -1) eloDrop = 150;

  if (eloDrop > 0) {
    overall -= eloDrop;
    hElo -= eloDrop;
    cElo -= eloDrop;
    gElo -= eloDrop;
  }
} catch(e){}

return { overall: overall, hard: hElo, clay: cElo, grass: gElo };

} catch(e) { return null; } } """

new_readSPW = """function readSPW(side){ var data = last5Auto(side); var spw = data.spw, att = data.attempts;

// SANITY CHECK: REJECT GARBAGE STATS (< 45%) // If stats are below 45%, they are likely data entry errors or extreme outliers for pros. // Return NaN to trigger Elo fallback. // Exception: If attempts are very low (< 30), it might just be small sample variance, // but even then, 18% is too low to be useful. if (Number.isFinite(spw) && spw < 0.45) { return NaN; }

if (Number.isFinite(spw) && spw > 0 && spw < 1){ if (Number.isFinite(att) && att < 240){ var tour = tourCode(), surf = surfaceAlias(); var anchorHold = holdAnchorFor(tour, surf); var anchorSpw = invPHold(anchorHold); var w = Math.min(1, att / 240); spw = spw * w + anchorSpw * (1 - w); }

text
// --- ADVANCED INJURY CHECK (DYNAMIC SPW MULTIPLIER) ---
try {
  var miSheet = SpreadsheetApp.getActive().getSheetByName('Match Inputs');
  var cell = (String(side).toUpperCase() === 'A') ? 'A2' : 'A11';
  var pName = String(miSheet.getRange(cell).getDisplayValue() || '').toLowerCase();

  var spwMultiplier = 1.0;
  if (pName.indexOf('(shoulder)') > -1 || pName.indexOf('(elbow)') > -1) spwMultiplier = 0.88;
  else if (pName.indexOf('(back)') > -1 || pName.indexOf('(core)') > -1 || pName.indexOf('(oblique)') > -1) spwMultiplier = 0.90;
  else if (pName.indexOf('(knee)') > -1 || pName.indexOf('(ankle)') > -1 || pName.indexOf('(leg)') > -1 || pName.indexOf('(calf)') > -1 || pName.indexOf('(hamstring)') > -1) spwMultiplier = 0.94;
  else if (pName.indexOf('(wrist)') > -1 || pName.indexOf('(hand)') > -1) spwMultiplier = 0.95;
  else if (pName.indexOf('(fatigue)') > -1 || pName.indexOf('(illness)') > -1 || pName.indexOf('(sick)') > -1) spwMultiplier = 0.97;
  else if (pName.indexOf('(inj)') > -1) spwMultiplier = 0.92;

  spw = spw * spwMultiplier;
} catch(e){}

return spw;

} else { // FIX FOR SKEWED MATCHES WITH NO STATS: // User requested REMOVAL of all synthetic stats. // If we have no stats, return NaN. // This allows upstream logic to detect "Missing Data" and switch to Pure Elo. return NaN; } } """

new_resolveNames = """function resolveNames(aArg, bArg){ var miNameA = '', miNameB = '', miAltA = '', miAltB = ''; var sumNameA = '', sumNameB = ''; try { var miSheet = (typeof _getMatchInputsSheet === 'function') ? _getMatchInputsSheet() : SpreadsheetApp.getActive().getSheetByName('Match Inputs'); if (miSheet) { miNameA = String(miSheet.getRange('A2').getDisplayValue() || '').trim(); miAltA = String(miSheet.getRange('B2').getDisplayValue() || '').trim(); miNameB = String(miSheet.getRange('A11').getDisplayValue() || '').trim(); miAltB = String(miSheet.getRange('B11').getDisplayValue() || '').trim(); } } catch(e) {}

try { var sp = (typeof _getSummarySheet === 'function') ? _getSummarySheet() : SpreadsheetApp.getActive().getSheetByName('Summary & Prediction'); if (sp && typeof SUMMARY_COLS !== 'undefined') { sumNameA = String(sp.getRange(2, SUMMARY_COLS.PLAYER_A).getDisplayValue() || '').trim(); sumNameB = String(sp.getRange(2, SUMMARY_COLS.PLAYER_B).getDisplayValue() || '').trim(); } } catch(e) {}

var candidatesA = [safe(aArg), miNameA, miAltA, sumNameA]; var candidatesB = [safe(bArg), miNameB, miAltB, sumNameB];

var A = null; for (var iA = 0; iA < candidatesA.length; iA++) { if (_validName(candidatesA[iA])) { A = candidatesA[iA]; break; } } var B = null; for (var iB = 0; iB < candidatesB.length; iB++) { if (_validName(candidatesB[iB])) { B = candidatesB[iB]; break; } }

if (!A && aArg && String(aArg).trim().length > 0) A = String(aArg).trim(); if (!B && bArg && String(bArg).trim().length > 0) B = String(bArg).trim();

if (!A) A = 'Player A'; if (!B) B = 'Player B';

// --- CLEAN THE ADVANCED INJURY TAGS FOR OUTPUT --- var injRegex = /\s*$(inj|knee|ankle|leg|calf|hamstring|shoulder|elbow|back|core|oblique|wrist|hand|fatigue|illness|sick)[^)]*$/ig; A = A.replace(injRegex, ''); B = B.replace(injRegex, '');

if (/^\d+/.test(A)) A = 'Player A'; if (/^\\d+/.test(B)) B = 'Player B'; return { A: A, B: B }; } """

new_getMIName = """function getMatchInputsPlayerNameForSide(side, tourInfo){ try { var s = String(side || 'A').toUpperCase(); if (s !== 'A' && s !== 'B') s = 'A';

text
var mi = null;
try { mi = _getMatchInputsSheet ? _getMatchInputsSheet() : null; } catch(e) {}
if (!mi) {
  try { mi = SpreadsheetApp.getActive().getSheetByName('Match Inputs'); } catch(e2) { mi = null; }
}
if (!mi) return '';

var injRegex = /\\s*\$(inj|knee|ankle|leg|calf|hamstring|shoulder|elbow|back|core|oblique|wrist|hand|fatigue|illness|sick)[^)]*\$/ig;

if (s === 'A') {
  return String(mi.getRange('A2').getDisplayValue() || mi.getRange('A2').getValue() || '').replace(injRegex, '').trim();
}

var cand11 = String(mi.getRange('A11').getDisplayValue() || mi.getRange('A11').getValue() || '').replace(injRegex, '').trim();
if (_validName(cand11) && !_looksLikeHandednessOrTour_(cand11)) {
  return cand11;
}
var cand10 = String(mi.getRange('A10').getDisplayValue() || mi.getRange('A10').getValue() || '').replace(injRegex, '').trim();
if (_validName(cand10) && !_looksLikeHandednessOrTour_(cand10)) {
  return cand10;
}
return cand11 || cand10 || '';

} catch(e) { return ''; } } """

def replace_function(src, name, new_block): res = extract_function(src, name) if not res: raise ValueError(f"Function {name} not found") start, end, old = res return src[:start] + new_block + src[end:], old

patched = text old_blocks = {} for fn, new_block in [("resolveNames", new_resolveNames), ("_readEloFromLookup", new_readElo), ("readSPW", new_readSPW), ("getMatchInputsPlayerNameForSide", new_getMIName)]: patched, old = replace_function(patched, fn, new_block) old_blocks[fn]=old

len(patched), patched.find("ADVANCED INJURY CHECK")

out_path = Path('/mnt/data/Tennis.God.JS.ATP_PIVOT_FIX.v1.injury_upgrade.txt') out_path.write_text(patched, encoding='utf-8') out_path.exists(), out_path.stat().st_size

bash -lc node --version && node --check /mnt/data/Tennis.God.JS.ATP_PIVOT_FIX.v1.injury_upgrade.txt

bash -lc cp /mnt/data/Tennis.God.JS.ATP_PIVOT_FIX.v1.injury_upgrade.txt /mnt/data/Tennis.God.JS.ATP_PIVOT_FIX.v1.injury_upgrade.js && node --check /mnt/data/Tennis.God.JS.ATP_PIVOT_FIX.v1.injury_upgrade.js

import re m = re.search(r'var injRegex = /\s*\(', patched) m is not None

for line in patched.splitlines(): if "var injRegex" in line: print(line)

{"queries":["Update my script to account for injured players by applying injury tags with SPW and Elo penalties.","function _readEloFromLookup(side)","function readSPW(side)","function resolveNames(aArg, bArg)","function getMatchInputsPlayerNameForSide"],"source_filter":["files_uploaded_in_conversation"]}

{"queries":["function readSPW(side)","readSPW(side)","SANITY CHECK: REJECT GARBAGE STATS (< 45%)","last5Auto(side);","function getMatchInputsPlayerNameForSide"],"source_filter":["files_uploaded_in_conversation"]}

Thought for 9m 31s

Answer

Here you go — I updated your uploaded script to support advanced injury tags (dynamic SPW multipliers + Elo drops) by modifying the exact 4 functions you specified in your existing file (the ones currently in your script at resolveNames() (Tennis.God.JS.ATP_PIVOT_FIX.v1.updated.txt), _readEloFromLookup() (Tennis.God.JS.ATP_PIVOT_FIX.v1.updated.txt), readSPW() (Tennis.God.JS.ATP_PIVOT_FIX.v1.updated.txt), and _getMatchInputsPlayerNameForSide_() (Tennis.God.JS.ATP_PIVOT_FIX.v1.updated.txt)).

Download the updated script (TXT):
Download Tennis.God.JS.ATP_PIVOT_FIX.v1.injury_upgrade.txt

What’s now added

  • Dynamic Elo drops based on tags in Match Inputs!A2 / A11 (inside _readEloFromLookup).
  • Targeted SPW penalties based on those same tags (inside readSPW).
  • Auto-clean injury tags from output names (inside resolveNames) so previews don’t print tags.
  • Auto-clean injury tags for lookup keys (inside _getMatchInputsPlayerNameForSide_) so Surface_Lookup / caches still match.

Supported tags: (inj) (knee) (ankle) (leg) (calf) (hamstring) (shoulder) (elbow) (back) (core) (oblique) (wrist) (hand) (fatigue) (illness) (sick)

Syntax check

I ran a JS syntax parse check on the final patched file (after edits) and it passed with no syntax errors.

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