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@dumbmatter
dumbmatter committed Nov 22, 2024
1 parent 167d843 commit e7ca185
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192 changes: 137 additions & 55 deletions src/worker/core/player/developSeason.basketball.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -3,37 +3,119 @@ import { helpers, random } from "../../util";
import type { PlayerRatings } from "../../../common/types.basketball";
import { coachingEffect } from "../../../common/budgetLevels";

// (age coefficient, age offset) for mean, and stddev
// peakAge: the age this rating normally peaks
// normalGrowth: amount this rating usually increases per year, until peakAge (modulated a bit by age still, so further from peakAge growth will be higher, and closer to peakAge it will be lower)
// normalDecline: amount this rating usually declines (from peakAge to 40, with similar modulation as normalGrowth)
const ratingsFormulas = {
diq: [-0.1, 2.841, -0.95],
dnk: [-0.052, 1.781, 1.205],
drb: [0.097, -3.06, -0.014],
endu: [-0.52, 13.842, 2.301],
fg: [0.015, 0.07, 0.544],
ft: [0.155, -3.891, -0.071],
ins: [-0.032, 0.924, 0.756],
jmp: [-0.247, 5.446, 1.486],
oiq: [0.076, -2.039, 0.406],
pss: [0.157, -4.602, 0.288],
reb: [0.042, -0.964, -0.098],
spd: [-0.057, 0.44, 0.323],
stre: [-0.099, 2.675, 0.231],
tp: [0.138, -3.909, 0.68],
} satisfies Record<string, [number, number, number]>;

const calcBaseChange = (age: number, coachingLevel: number) => {
let val;

const base_coef = [-0.327, 10, 4.202];

val = base_coef[0] * age + base_coef[1];
const std_base = base_coef[2];
const std_noise = helpers.bound(random.realGauss() * std_base, -1, 4);
val += std_noise;

val *= 1 + (val > 0 ? 1 : -1) * coachingEffect(coachingLevel);
// Big growth
stre: {
peakAge: 28,
normalGrowth: 5,
normalDecline: 2,
},
oiq: {
peakAge: 28,
normalGrowth: 8,
normalDecline: 2,
},
diq: {
peakAge: 28,
normalGrowth: 8,
normalDecline: 2,
},
endu: {
peakAge: 26,
normalGrowth: 5,
normalDecline: 2,
},

// Moderate growth
dnk: {
peakAge: 25,
normalGrowth: 2,
normalDecline: 2,
},
drb: {
peakAge: 30,
normalGrowth: 2,
normalDecline: 2,
},
fg: {
peakAge: 30,
normalGrowth: 3,
normalDecline: 2,
},
ft: {
peakAge: 30,
normalGrowth: 3,
normalDecline: 2,
},
ins: {
peakAge: 30,
normalGrowth: 2,
normalDecline: 2,
},
pss: {
peakAge: 30,
normalGrowth: 2,
normalDecline: 2,
},
reb: {
peakAge: 30,
normalGrowth: 2,
normalDecline: 2,
},
tp: {
peakAge: 30,
normalGrowth: 3,
normalDecline: 2,
},

// Small growth
jmp: {
peakAge: 24,
normalGrowth: 1,
normalDecline: 8,
},
spd: {
peakAge: 25,
normalGrowth: 1,
normalDecline: 8,
},
};

return val;
const getNormalChange = (
{
peakAge,
normalGrowth,
normalDecline,
}: {
peakAge: number;
normalGrowth: number;
normalDecline: number;
},
age: number,
) => {
const ageDiff = age - peakAge;
if (ageDiff < -3) {
return normalGrowth;
} else if (ageDiff === -3) {
return 0.75 * normalGrowth;
} else if (ageDiff === -2) {
return 0.5 * normalGrowth;
} else if (ageDiff === -1) {
return 0.25 * normalGrowth;
} else if (ageDiff === 0) {
return 0;
} else if (ageDiff === 1) {
return -0.25 * normalGrowth;
} else if (ageDiff === 2) {
return -0.5 * normalGrowth;
} else if (ageDiff === 3) {
return -0.75 * normalGrowth;
} else {
return -normalDecline;
}
};

const SMOOTH_WITH_PREV_PROGS = 0.5;
Expand All @@ -57,43 +139,43 @@ const developSeason = (
}
}

const ageBound = helpers.bound(age, 19, 50);

const baseChangeA = calcBaseChange(ageBound, coachingLevel);
const baseChangeS = calcBaseChange(ageBound, coachingLevel);
const baseChangeO = calcBaseChange(ageBound, coachingLevel);
const baseChangeD = calcBaseChange(ageBound, coachingLevel);
const baseChangeAthleticism = random.uniform(-3, 3);
const baseChangeShooting = random.uniform(-3, 3);
const baseChangeOffense = random.uniform(-3, 3);
const baseChangeDefense = random.uniform(-3, 3);

const baseChanges = {
stre: (baseChangeA + baseChangeD) / 2,
spd: baseChangeA,
jmp: baseChangeA,
endu: baseChangeA,
dnk: (baseChangeA + baseChangeS) / 2,
ins: (baseChangeO + baseChangeS) / 2,
ft: baseChangeS,
fg: baseChangeS,
tp: baseChangeS,
oiq: baseChangeO,
diq: baseChangeD,
drb: baseChangeO,
pss: baseChangeO,
reb: baseChangeD,
stre: (baseChangeAthleticism + baseChangeDefense) / 2,
spd: baseChangeAthleticism,
jmp: baseChangeAthleticism,
endu: baseChangeAthleticism,
dnk: (baseChangeAthleticism + baseChangeShooting) / 2,
ins: (baseChangeOffense + baseChangeShooting) / 2,
ft: baseChangeShooting,
fg: baseChangeShooting,
tp: baseChangeShooting,
oiq: baseChangeOffense,
diq: baseChangeDefense,
drb: baseChangeOffense,
pss: baseChangeOffense,
reb: baseChangeDefense,
};

for (const key of helpers.keys(ratingsFormulas)) {
const ageModifier =
ratingsFormulas[key][0] * ageBound + ratingsFormulas[key][1];
const ageStd = ratingsFormulas[key][2];
let prog =
0.7 *
(getNormalChange(ratingsFormulas[key], age) +
baseChanges[key] +
helpers.bound(0 * random.realGauss(), -10, 10));

prog *= 1 + (prog > 0 ? 1 : -1) * coachingEffect(coachingLevel);

const ageChange =
ageModifier + helpers.bound(random.realGauss() * ageStd, -3, 5);
let prog = 0.5 * (baseChanges[key] + ageChange);
if (prevProgs) {
prog =
(1 - SMOOTH_WITH_PREV_PROGS) * prog +
SMOOTH_WITH_PREV_PROGS * prevProgs[key];
}

ratings[key] = limitRating(ratings[key] + prog);
}
};
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53 changes: 24 additions & 29 deletions src/worker/core/player/genRatings.basketball.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -33,16 +33,20 @@ const typeFactors: Record<
},
big: {
stre: 1.2,
ins: 1.6,
dnk: 1.5,
ins: 2,
dnk: 2,
reb: 1.4,
ft: 0.8,
fg: 0.8,
tp: 0.8,
diq: 1.2,
diq: 1.3,
},
};

const athleticismRatings = new Set(["stre", "spd", "jmp", "endu", "dnk"]);
const shootingRatings = new Set(["ft", "fg", "tp"]);
const skillRatings = new Set(["oiq", "diq", "drb", "pss", "reb"]); // ins purposely left out

const genRatings = (
season: number,
scoutingLevel: number,
Expand Down Expand Up @@ -91,20 +95,20 @@ const genRatings = (

// Tall players are less talented, and all tend towards dumb and can't shoot because they are rookies
const rawRatings = {
diq: 39,
dnk: 39,
drb: 40,
endu: 23,
fg: 34,
ft: 36,
ins: 38,
jmp: 35,
oiq: 38,
pss: 39,
reb: 45,
spd: 37,
stre: 46,
tp: 40,
stre: 37,
spd: 40,
jmp: 40,
endu: 37,
ins: 27,
dnk: 27,
ft: 32,
fg: 32,
tp: 32,
oiq: 22,
diq: 22,
drb: 37,
pss: 37,
reb: 37,
};

// For correlation across ratings, to ensure some awesome players, but athleticism and skill are independent to
Expand All @@ -113,28 +117,19 @@ const genRatings = (
const factorShooting = helpers.bound(random.realGauss(1, 0.2), 0.2, 1.2);
const factorSkill = helpers.bound(random.realGauss(1, 0.2), 0.2, 1.2);
const factorIns = helpers.bound(random.realGauss(1, 0.2), 0.2, 1.2);
const athleticismRatings = ["stre", "spd", "jmp", "endu", "dnk"];
const shootingRatings = ["ft", "fg", "tp"];
const skillRatings = ["oiq", "diq", "drb", "pss", "reb"]; // ins purposely left out

for (const key of helpers.keys(rawRatings)) {
const typeFactor = typeFactors[type]?.[key] ?? 1;
let factor = factorIns;

if (athleticismRatings.includes(key)) {
if (athleticismRatings.has(key)) {
factor = factorAthleticism;
} else if (shootingRatings.includes(key)) {
} else if (shootingRatings.has(key)) {
factor = factorShooting;
} else if (skillRatings.includes(key)) {
} else if (skillRatings.has(key)) {
factor = factorSkill;
}

// For TypeScript
// https://github.com/microsoft/TypeScript/issues/21732
if (typeFactor === undefined) {
throw new Error("Should never happen");
}

rawRatings[key] = limitRating(
factor * typeFactor * random.realGauss(rawRatings[key], 5),
);
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