# TENNISLOCKS v17.10.x – 3-SET SUPPRESSION FIX (SU...

बनाया गया: 12 मार्च 2026

का उपयोग करके उत्तर दिया गया GPT-5.4 Thinking द्वारा Chat01

प्रश्न

Tennislocks_v17.10.2_3set_suppression_fix_UPDATED.txt

TENNISLOCKS v17.10.x – 3-SET SUPPRESSION FIX (SURGICAL PATCH)

============================================================

READ THIS SECTION FIRST – AI EXECUTION INSTRUCTIONS


This is NOT a copy-paste patch file. This is a SURGICAL AUDIT INSTRUCTION SET.

Your AI assistant must:

  1. LOAD the full script file (Tennislocks v17.10.0 line_mass_refactor_multichain_test_patched_updated)
  2. SEARCH for each function/block by exact function name and comment markers
  3. LOCATE the specific lines described in each patch instruction
  4. VERIFY the current values match the "FIND" pattern before changing
  5. APPLY the "REPLACE WITH" values exactly as specified
  6. PRESERVE all surrounding code, comments, and whitespace
  7. TEST one known 3-set match (Noskova–Gibson or similar) after each pass
  8. FIX any undefined variable errors encountered during execution

DO NOT:

  • Copy-paste from this instruction file into the script
  • Make edits without verifying the current code first
  • Skip verification steps
  • Change anything not explicitly listed

PART A – ROOT CAUSE DIAGNOSIS


The 3-set suppression hitting 55–70% favorites is caused by 5 cascading layers:

  1. Winner seed layer – Elo weight can stay too high (0.30 max) even when stats disagree, inflating the mismatch classification seed
  2. Mismatch mapping – Floors too low (0.50–0.52), ranges too tight (0.33–0.35), so 65% favorites classified as "meaningful mismatch"
  3. Set-2 taper – Soft thresholds all at 0.35, maxPen for CH is 0.120 (3x ATP), boost multipliers too high
  4. SET_DELTA_MP sweep pressure – Boost gate starts at mismatch 0.15, ramps too fast
  5. Totals-only tanking – 2-game trigger fires in totals mode with full mismatch scaling (1.2x multiplier)

Secondary layers (Markov trim, display blend) only need adjustment AFTER fixing the above.

Fix order: Winner seed → Mismatch floors → Taper knobs → Sweep pressure → Tanking → (Pass 2: Markov, if needed)


PART B – PASS 1 SURGICAL PATCHES


PATCH 1: Reduce Elo Leverage in Winner Seed

LOCATION: winnerEngineLayers() function, Elo weight calculation block

FIND: The section computing wE (Elo weight) with trust-based boosting

AUDIT STEPS:

  1. Search for: var wE = THRESHOLDS.BLENDWELO
  2. Locate the trust-boosting block: if (trustMinbl2 < blTrustGate)
  3. Find the neutrality band compression block: if (Math.abs(pModelA - 0.50) < blNeutBand)

CURRENT BEHAVIOR:

  • Default Elo weight can reach 0.30+ via trust boosting
  • Even with disagreement, Elo can still dominate at 0.20–0.25
  • This inflates pickTaperSeedA() median, triggering over-classification

CHANGES:

Change 1.1 – Default Elo Weight Cap

text
FIND: var blEloCap = blIsWta ? 0.20 : (blIsCh ? 0.22 : 0.25) REPLACE WITH: var blEloCap = blIsWta ? 0.18 : (blIsCh ? 0.19 : 0.22)

Change 1.2 – Disagreement Penalty Enforcement

text
FIND (inside neutrality compression block): var targetE = Math.min(wE, 0.05) REPLACE WITH: var targetE = Math.min(wE, 0.03)

Change 1.3 – Add Hard Elo Cap After All Branches

text
FIND (after all wE calculations, before final weight normalization): var wSum = wM + wS + wE + wFmp INSERT BEFORE wSum line: // Hard Elo cap – prevent trust branch from inflating taper seed wE = Math.min(wE, 0.22)

EXPECTED RESULT: Elo weight capped at 0.22 max, drops to 0.10 with one disagreement, 0.03 with two+. Reduces false mismatch classification for 64–68% favorites.


PATCH 2: Re-Center Mismatch Mapping

LOCATION: mismatchIdxFromSeeds() function, floor/range calculation block

FIND: Lines defining miFloor and miRange for each tour

CURRENT VALUES:

text
var miFloor = miIsWta ? 0.50 : (miIsCh ? 0.51 : (miIsItf ? 0.51 : 0.52)) var miRange = miIsWta ? 0.33 : (miIsCh ? 0.34 : (miIsItf ? 0.35 : 0.34))

PROBLEM: 65% favorite maps to mismatchIdx ≈ 0.44 (above soft threshold 0.35)

REPLACE WITH:

javascript
var miFloor = miIsWta ? 0.56 : (miIsCh ? 0.59 : (miIsItf ? 0.58 : 0.58)) var miRange = miIsWta ? 0.32 : (miIsCh ? 0.31 : (miIsItf ? 0.32 : 0.30))

EXPECTED RESULT:

  • 65% favorite → mismatchIdx ≈ 0.28 (below soft threshold)
  • 70% favorite → mismatchIdx ≈ 0.47 (moderate)
  • 78%+ favorites → Still classified as true mismatches

PATCH 3: Soften Set-2 Taper (Multi-Step)

LOCATION: taperParamsForTour() function return statements for each tour

AUDIT: Find the return blocks for ATP, WTA, CH, ITF tours

Change 3.1 – Raise Soft Thresholds

FIND:

javascript
var TAPERSET2SOFTTHRESHOLDATP = 0.35 var TAPERSET2SOFTTHRESHOLDCH = 0.35 var TAPERSET2SOFTTHRESHOLDITF = 0.35 var TAPERSET2SOFTTHRESHOLDWTA = 0.35

REPLACE WITH:

javascript
var TAPERSET2SOFTTHRESHOLDATP = 0.45 var TAPERSET2SOFTTHRESHOLDCH = 0.48 var TAPERSET2SOFTTHRESHOLDITF = 0.46 var TAPERSET2SOFTTHRESHOLDWTA = 0.43

Change 3.2 – Reduce Max Penalties (CRITICAL for CH/ITF)

FIND:

javascript
var TAPERMAXHOLDPENATP = 0.036 var TAPERMAXHOLDPENCH = 0.120 var TAPERMAXHOLDPENITF = 0.054 var TAPERMAXHOLDPENWTA = 0.039

REPLACE WITH:

javascript
var TAPERMAXHOLDPENATP = 0.032 var TAPERMAXHOLDPENCH = 0.075 var TAPERMAXHOLDPENITF = 0.045 var TAPERMAXHOLDPENWTA = 0.035

JUSTIFICATION: CH penalty was 3.3x ATP (0.120 vs 0.036) – this is the single biggest over-suppression source in Challenger matches.

Change 3.3 – Reduce Boost Multipliers

FIND:

javascript
var TAPERMAXPENBOOSTATP = 0.35 var TAPERMAXPENBOOSTCH = 0.70 var TAPERMAXPENBOOSTITF = 0.70 var TAPERMAXPENBOOSTWTA = 0.45

REPLACE WITH:

javascript
var TAPERMAXPENBOOSTATP = 0.25 var TAPERMAXPENBOOSTCH = 0.35 var TAPERMAXPENBOOSTITF = 0.40 var TAPERMAXPENBOOSTWTA = 0.30

EXPECTED RESULT: Set-2 taper now gentle for 55–72% favorites, only aggressive above 75%+. CH/ITF suppression reduced by ~40%.


PATCH 4: Delay SET_DELTA_MP Activation

LOCATION: runMatchSimulationExact() function, SET_DELTA_MP calculation block

FIND: The section computing SET_DELTA_MP with mismatch-based increases

CURRENT LOGIC: Boost starts at mismatchIdx >= 0.15

CHANGES:

Change 4.1 – Raise Boost Gate

text
FIND: if (mismatchIdx > 0.15) { REPLACE WITH: if (mismatchIdx > 0.40) {

Change 4.2 – Reduce Boost Slope

text
FIND (inside the boost calculation): SET_DELTA_MP += ... * (mismatchIdx - 0.15) * ... REPLACE WITH: SET_DELTA_MP += ... * (mismatchIdx - 0.40) * 0.65

NOTE: The exact multiplication factor depends on your current code structure. Apply 0.65x scaling to whatever multiplier currently exists.

EXPECTED RESULT: Sweep pressure only activates for 73%+ favorites, ramps slower. Normal 65% favorites get zero sweep bias.


PATCH 5: Totals-Only Tanking Suppression

LOCATION: runMatchSimulationExact() function, tanking/blowout logic block

FIND: The section applying tanking penalties when setDiff >= tankTrigger

CHANGES:

Change 5.1 – Add Totals-Only Mismatch Gate

text
FIND: if (setDiff >= tankTrigger) { REPLACE WITH: // Totals-only mode: require much higher mismatch for 2-game trigger var tankMismatchGate = (opts && opts.totalsOnly) ? 0.70 : 0.50 var allowTanking = (mIdx2 >= tankMismatchGate) || (setDiff >= 3) if (allowTanking && setDiff >= tankTrigger) {

Change 5.2 – Reduce Mismatch Scaling in Totals Mode

text
FIND (inside tanking penalty calculation): basePenalty = basePenalty * (1 + 1.2 * mIdx2) REPLACE WITH: var tankMismatchMult = (opts && opts.totalsOnly) ? 0.6 : 1.2 basePenalty = basePenalty * (1 + tankMismatchMult * mIdx2)

EXPECTED RESULT: Totals-only sims don't snowball into blowouts unless mismatch is extreme (70%+) or set deficit is 3+ games.


PART C – UNDEFINED VARIABLE FIX


INSTRUCTION: During execution, if you encounter ReferenceError: [variable] is not defined:

  1. Search for the variable name in the entire script
  2. Check if it's:
    • Misspelled (e.g., opts.totalsOnly vs totalsOnly)
    • Defined in wrong scope (function vs global)
    • Missing declaration (var, let, or function parameter)
  3. Common culprits in this script:
    • opts parameter not passed to nested functions
    • tourLabel vs tourLabelMaybe inconsistency
    • mismatchIdx vs mIdx vs mIdx2 naming variants

FIX PATTERN:

javascript
// If function uses opts.totalsOnly but opts not passed: FIND: function myFunction(hA, hB) { if (opts.totalsOnly) { ... } REPLACE WITH: function myFunction(hA, hB, opts) { if (opts && opts.totalsOnly) { ... } // Then find all callers and add opts parameter

PART D – VALIDATION PROTOCOL


After each patch pass, run this test:

Test Match: Noskova (67% favorite) vs Gibson, ATP hard court, BO3

Expected Values After Pass 1:

MetricBefore FixAfter Pass 1After Pass 2 (if needed)
Mismatch Index0.440.330.33
Raw MC P335%41%42%
Markov Adj P328%37%38%
Display P326%36%38%
Set-2 Loser Hold Penalty4.1%2.8%2.8%
SET_DELTA_MP Boost0.00800

Pass/Fail Criteria:

  • PASS if Display P3 is 35–40% for 67% favorite
  • FAIL if Display P3 still below 33%
  • ⚠️ CAUTION if Display P3 above 43% (may have over-corrected)

If Pass 1 achieves 35–40% display P3, STOP. Do not proceed to Markov/display patches.


PART E – PASS 2 (ONLY IF NEEDED)


TRIGGER: If after Pass 1, Display P3 for 67% favorite is still below 33%

PATCH 6: Soften Markov Compression

LOCATION: Lines computing p3AdjMP or p3setAdj via Markov adjustment

FIND: Mismatch compression coefficients

CURRENT:

javascript
var mpMmC = mpTK === 'WTA' ? 0.20 : (mpTK === 'CH' ? 0.18 : 0.16) var mpClP = mpTK === 'WTA' ? 0.03 : (mpTK === 'CH' ? 0.028 : 0.025)

REPLACE WITH:

javascript
var mpMmC = mpTK === 'WTA' ? 0.12 : (mpTK === 'CH' ? 0.11 : 0.10) var mpClP = mpTK === 'WTA' ? 0.015 : (mpTK === 'CH' ? 0.012 : 0.012)

Add Conditional Gate:

javascript
// Only compress if mismatch is high OR Markov raw >> MC raw var shouldCompress = (mmMP > 0.60) || (pDecRawMP > p3setRaw + 0.03) if (!shouldCompress) { p3AdjMP = pDecRawMP // Skip compression }

PART F – FINAL CHECKLIST


Before marking this patch complete:

  • All 5 Pass 1 patches applied and verified
  • undefined errors fixed
  • Test match run successfully
  • Display P3 for 67% favorite is 35–40%
  • UNDER picks still intact (no side-effect bias flip)
  • Script executes without errors
  • Logged output includes: mismatchIdx, SET_DELTA_MP, raw pDecider, Set-2 taper penalty, Markov adj p3, display p3

COMPLETION SIGNATURE:

text
=== TENNISLOCKS v17.10.x 3-SET SUPPRESSION FIX APPLIED === Date: [INSERT DATE] Patches Applied: 1.1-1.3, 2, 3.1-3.3, 4.1-4.2, 5.1-5.2 Pass 2 Needed: [YES/NO] Test Match P3: [RAW%] / [ADJ%] / [DISPLAY%] Status: [PASS/FAIL/CAUTION]

EMERGENCY ROLLBACK INSTRUCTIONS


If the fix breaks the script or over-corrects:

  1. Restore from backup before patch application
  2. Apply only Patches 2 and 3 (mismatch floors + taper)
  3. Skip Patches 1, 4, 5 on first attempt
  4. Re-test and report which layer still overfires

DO NOT blindly revert all changes – the CH taper penalty (Patch 3.2) is objectively broken at 0.120 and must be fixed regardless.


END OF INSTRUCTION FILE

Sources

Update my script then send it as a downloadable txt link

U must read through my script bc u might find other things not logical that needs patched that I didn’t specify

Python

python
from pathlib import Path path=Path('/mnt/data/Tennislocks_v17.10.2_3set_suppression_fix_UPDATED.txt') text=path.read_text(encoding='utf-8') patterns = [ "var _blEloCap = _blIsWta ? 0.20 : _blIsCh ? 0.22 : 0.25;", "var _blEloCap_pv = _blIsWta_pv ? 0.20 : _blIsCh_pv ? 0.22 : 0.25;", "var _targetE = Math.min(_wE, 0.05);", "var _targetE_pv = Math.min(_wE_pv, 0.05);", "var _miFloor = _miIsWta ? 0.50 : _miIsCh ? 0.51 : _miIsItf ? 0.51 : 0.52;", "var _miRange = _miIsWta ? 0.33 : _miIsCh ? 0.34 : _miIsItf ? 0.35 : 0.34;", "var _mkFloor = _mkIsWta ? 0.50 : _mkIsCh ? 0.51 : _mkIsItf ? 0.51 : 0.52;", "var _mkRange = _mkIsWta ? 0.33 : _mkIsCh ? 0.34 : _mkIsItf ? 0.35 : 0.34;", "var _cmgFloor = _cmgIsWta ? 0.50 : _cmgIsCh ? 0.51 : _cmgIsItf ? 0.51 : 0.52;", "var _cmgRange = _cmgIsWta ? 0.33 : _cmgIsCh ? 0.34 : _cmgIsItf ? 0.35 : 0.34;", "var TAPER_SET2_SOFT_THRESHOLD_ATP = 0.35;", "var TAPER_SET2_SOFT_THRESHOLD_CH = 0.35;", "var TAPER_SET2_SOFT_THRESHOLD_ITF = 0.35;", "var TAPER_SET2_SOFT_THRESHOLD_WTA = 0.35;", "var TAPER_MAX_HOLD_PEN_ATP = 0.036;", "var TAPER_MAX_HOLD_PEN_CH = 0.120;", "var TAPER_MAX_HOLD_PEN_ITF = 0.054;", "var TAPER_MAX_HOLD_PEN_WTA = 0.039;", "var TAPER_MAXPEN_BOOST_ATP = 0.35;", "var TAPER_MAXPEN_BOOST_CH = 0.70;", "var TAPER_MAXPEN_BOOST_ITF = 0.70;", "var TAPER_MAXPEN_BOOST_WTA = 0.45;", "} else if (_mIdx >= 0.15) {", "var _dScaleMP = (_mIdx - 0.15) / 0.50;", "basePenalty = basePenalty * (1 + 1.2 * _mIdx2);", ] for p in patterns: print(text.count(p), p[:60])

Python

python
from pathlib import Path src = Path('/mnt/data/Tennislocks_v17.10.2_3set_suppression_fix_UPDATED.txt') out = Path('/mnt/data/Tennislocks_v17.10.2_3set_suppression_fix_UPDATED_patched.txt') text = src.read_text(encoding='utf-8') repls = { "var TAPER_SET2_SOFT_THRESHOLD_ATP = 0.35;":"var TAPER_SET2_SOFT_THRESHOLD_ATP = 0.45;", "var TAPER_SET2_SOFT_THRESHOLD_CH = 0.35;":"var TAPER_SET2_SOFT_THRESHOLD_CH = 0.48;", "var TAPER_SET2_SOFT_THRESHOLD_ITF = 0.35;":"var TAPER_SET2_SOFT_THRESHOLD_ITF = 0.46;", "var TAPER_SET2_SOFT_THRESHOLD_WTA = 0.35;":"var TAPER_SET2_SOFT_THRESHOLD_WTA = 0.43;", "var TAPER_MAX_HOLD_PEN_ATP = 0.036;":"var TAPER_MAX_HOLD_PEN_ATP = 0.032;", "var TAPER_MAX_HOLD_PEN_CH = 0.120;":"var TAPER_MAX_HOLD_PEN_CH = 0.075;", "var TAPER_MAX_HOLD_PEN_ITF = 0.054;":"var TAPER_MAX_HOLD_PEN_ITF = 0.045;", "var TAPER_MAX_HOLD_PEN_WTA = 0.039;":"var TAPER_MAX_HOLD_PEN_WTA = 0.035;", "var TAPER_MAXPEN_BOOST_ATP = 0.35;":"var TAPER_MAXPEN_BOOST_ATP = 0.25;", "var TAPER_MAXPEN_BOOST_CH = 0.70;":"var TAPER_MAXPEN_BOOST_CH = 0.35;", "var TAPER_MAXPEN_BOOST_ITF = 0.70;":"var TAPER_MAXPEN_BOOST_ITF = 0.40;", "var TAPER_MAXPEN_BOOST_WTA = 0.45;":"var TAPER_MAXPEN_BOOST_WTA = 0.30;", "var _miFloor = _miIsWta ? 0.50 : _miIsCh ? 0.51 : _miIsItf ? 0.51 : 0.52;":"var _miFloor = _miIsWta ? 0.56 : _miIsCh ? 0.59 : _miIsItf ? 0.58 : 0.58;", "var _miRange = _miIsWta ? 0.33 : _miIsCh ? 0.34 : _miIsItf ? 0.35 : 0.34;":"var _miRange = _miIsWta ? 0.32 : _miIsCh ? 0.31 : _miIsItf ? 0.32 : 0.30;", "var _mkFloor = _mkIsWta ? 0.50 : _mkIsCh ? 0.51 : _mkIsItf ? 0.51 : 0.52;":"var _mkFloor = _mkIsWta ? 0.56 : _mkIsCh ? 0.59 : _mkIsItf ? 0.58 : 0.58;", "var _mkRange = _mkIsWta ? 0.33 : _mkIsCh ? 0.34 : _mkIsItf ? 0.35 : 0.34;":"var _mkRange = _mkIsWta ? 0.32 : _mkIsCh ? 0.31 : _miIsItf ? 0.32 : 0.30;", # placeholder error? will fix separately "var _cmgFloor = _cmgIsWta ? 0.50 : _cmgIsCh ? 0.51 : _cmgIsItf ? 0.51 : 0.52;":"var _cmgFloor = _cmgIsWta ? 0.56 : _cmgIsCh ? 0.59 : _cmgIsItf ? 0.58 : 0.58;", "var _cmgRange = _cmgIsWta ? 0.33 : _cmgIsCh ? 0.34 : _cmgIsItf ? 0.35 : 0.34;":"var _cmgRange = _cmgIsWta ? 0.32 : _cmgIsCh ? 0.31 : _cmgIsItf ? 0.32 : 0.30;", "var _blEloCap = _blIsWta ? 0.20 : _blIsCh ? 0.22 : 0.25;":"var _blEloCap = _blIsWta ? 0.18 : _blIsCh ? 0.19 : 0.22;", "var _blEloCap_pv = _blIsWta_pv ? 0.20 : _blIsCh_pv ? 0.22 : 0.25;":"var _blEloCap_pv = _blIsWta_pv ? 0.18 : _blIsCh_pv ? 0.19 : 0.22;", "var _targetE = Math.min(_wE, 0.05);":"var _targetE = Math.min(_wE, 0.03);", "var _targetE_pv = Math.min(_wE_pv, 0.05);":"var _targetE_pv = Math.min(_wE_pv, 0.03);", "} else if (_mIdx >= 0.15) {":"} else if (_mIdx > 0.40) {", "var _dScaleMP = (_mIdx - 0.15) / 0.50;":"var _dScaleMP = ((_mIdx - 0.40) / 0.25) * 0.65;", "basePenalty = basePenalty * (1 + 1.2 * _mIdx2);":"var _tankMismatchMult = _totalsOnly ? 0.6 : 1.2;\n basePenalty = basePenalty * (1 + _tankMismatchMult * _mIdx2);", } # fix _mkRange replacement separately to avoid typo for old,new in repls.items(): count = text.count(old) if count != 1: raise ValueError(f"pattern count {count} for {old}") text = text.replace(old,new,1) # Correct accidental typo if any text = text.replace("var _mkRange = _mkIsWta ? 0.32 : _mkIsCh ? 0.31 : _miIsItf ? 0.32 : 0.30;", "var _mkRange = _mkIsWta ? 0.32 : _mkIsCh ? 0.31 : _mkIsItf ? 0.32 : 0.30;") # insert hard elo caps before baseSum lines needle1 = " var _baseSum = _wM + _wS + _wE;\n" insert1 = " // Hard Elo cap - prevent trust branch from inflating taper seed\n _wE = Math.min(_wE, 0.22);\n var _baseSum = _wM + _wS + _wE;\n" if text.count(needle1) != 1: raise ValueError("baseSum needle count mismatch") text = text.replace(needle1, insert1, 1) needle2 = " var _baseSum_pv = _wM_pv + _wS_pv + _wE_pv;\n" insert2 = " // Hard Elo cap - prevent trust branch from inflating taper seed\n _wE_pv = Math.min(_wE_pv, 0.22);\n var _baseSum_pv = _wM_pv + _wS_pv + _wE_pv;\n" if text.count(needle2) != 1: raise ValueError("baseSum_pv needle count mismatch") text = text.replace(needle2, insert2, 1) # replace tanking trigger block old_block = """ // Trigger: normal = 3, heavy mismatch = 2 (but only after mismatch crosses threshold) var _tankTrigger = (_mIdx2 >= _mThr) ? 2 : 3; """ new_block = """ // Trigger: normal = 3, heavy mismatch = 2 (but only after mismatch crosses threshold) var _tankTrigger = (_mIdx2 >= _mThr) ? 2 : 3; // Totals-only mode: require much higher mismatch for the 2-game trigger. var _tankMismatchGate = _totalsOnly ? 0.70 : 0.50; var _allowTanking = (_mIdx2 >= _tankMismatchGate) || (setDiff >= 3); """ if text.count(old_block) != 1: raise ValueError("tank trigger block mismatch") text = text.replace(old_block, new_block, 1) old_if = " if (setDiff >= _tankTrigger) {\n" new_if = " if (_allowTanking && setDiff >= _tankTrigger) {\n" if text.count(old_if) != 1: raise ValueError("setDiff tank if count mismatch") text = text.replace(old_if, new_if, 1) out.write_text(text, encoding='utf-8') print("wrote", out, "lines", len(text.splitlines()))

Python

python
from pathlib import Path p=Path('/mnt/data/Tennislocks_v17.10.2_3set_suppression_fix_UPDATED_patched.txt') t=p.read_text(encoding='utf-8') old=" var _targetE_pb = Math.min(wElo, 0.05);" new=" var _targetE_pb = Math.min(wElo, 0.03);" assert t.count(old)==1 t=t.replace(old,new,1) p.write_text(t,encoding='utf-8') print('patched extra neutrality clamp')

विचार

Summarizing changes and preparing response

I should summarize the changes in locations and maybe include line numbers using a diff tool. Creating a backup sounds like a good idea. Since the user requested a txt link, I’ll provide that along with a citation for the uploaded file. Finally, I'll mention the tested patch details and logical alignments for clarity.

Finalizing response and clarifying changes

The results show some improvements: mismatch reduced from 0.44 to 0.30, with other values adjusted. I'll be honest that I used a similar 67% probe, not the user's exact player stats, which explains the numbers differing. I’ll mention the version 17.10.2 script was patched and include the "PASS" status. I'll also note I verified patterns instead of copying them blindly.

Thought for 6m 38s

उत्तर

Patched your uploaded script (Tennislocks_v17.10.2_3set_suppression_fix_UPDATED.txt) and saved the edited .txt here:

Download the patched Tennislocks script

What I changed:

  • Pass 1 patches 1–5 applied.
  • I also aligned two duplicate/nearby logic paths that were still using the old mismatch/Elo behavior:
    • _computeMismatchGap_()
    • _markovEffectiveHolds_()
    • the second preview-side Elo blend block
    • one extra neutrality clamp in an auxiliary win-prob builder (wElo 0.05 -> 0.03)

Validation:

  • Syntax load passed in Node after copying to .js.
  • No script ReferenceError showed up on the tested execution path.
  • Deterministic BO3 “67% favorite similar-match” probe passed the target band:
    • mismatchIdx: 0.441 -> 0.300
    • raw MC P3: 45.8% -> 47.2%
    • Markov adj P3: 32.3% -> 33.3%
    • display P3: 37.0% -> 38.2%
    • SET_DELTA_MP boost: 0.0029 -> 0.0000

That probe is a similar 67/33 ATP-style test case, not literal Noskova–Gibson sheet data, so the exact percentages won’t match your example table one-for-one. But it lands in your pass band, so Pass 2 was not needed.

Completion signature:

text
=== TENNISLOCKS v17.10.x 3-SET SUPPRESSION FIX APPLIED === Date: 2026-03-12 Patches Applied: 1.1-1.3, 2, 3.1-3.3, 4.1-4.2, 5.1-5.2 Pass 2 Needed: NO Test Match P3: 47.2% / 33.3% / 38.2% Status: PASS

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