Track Record ✦ the last 30 days

56.6% Accuracy

56–43 across 99 games

— By Simulation Type —

Simulation Correct Total Accuracy
Baseline 45 99 45.5%
Pitcher-weighted 58 99 58.6%
Platoon-weighted 56 99 56.6%
Pitcher + Platoon 49 99 49.5%
Logistic 48 99 48.5%
Random Forest ★ leader 67 99 67.7%
Consensus 56 99 56.6%
Random Forest is leading individual model by 9.1 points. Consensus edges out 3 of 6 sims.

— Per-Team Accuracy —

★ Top 5 teams
Angels
7–1 87.5%
Tigers
6–1 85.7%
Guardians
6–1 85.7%
Marlins
5–1 83.3%
Phillies
4–1 80.0%
✗ Bottom 5 teams
Rays
0–5 0.0%
Dodgers
1–7 12.5%
White Sox
1–5 16.7%
Giants
2–5 28.6%
Cubs
2–4 33.3%

88-point spread between best and worst — Rays the hardest to call.

— Confidence Calibration —

Are our confidence numbers honest? Compare what we said to what actually happened.

Confidence band Picks Avg predicted Actual rate Gap
50-55% 42 52.6% 57.1% +4.5
55-60% 33 57.6% 48.5% -9.1
60-65% 15 61.9% 66.7% +4.8
65-70% 1 68.0% 100.0% +32.0
70%+ 8 74.9% 62.5% -12.4
Overconfidence shows up most in the 55-60% band.

— Lineup Impact —

Lineup status Games Correct Accuracy
Real lineups 456 264 57.9%
Fallback lineups 212 132 62.3%
Fallback-lineup predictions are 4.4 points more accurate. 32% of season picks rely on fallback lineups.

— Pick Distribution —

Avg confidence

57.6%

across 104 picks

Home team picks

67.3%

vs MLB home rate ~54%

Unanimous picks

13%

all sims agreed

— Recent Performance —

Last 30 days

★ Best day

1 of 1

Tuesday, May 5 · 100.0%

✗ Worst day

5 of 15

Tuesday, May 19 · 33.3%

Apr 24 May 9 May 23
Date Correct Total Accuracy
Sat, May 23 4 5 80.0%
Fri, May 22 7 13 53.8%
Tue, May 19 5 15 33.3%
Tue, May 12 7 15 46.7%
Mon, May 11 4 6 66.7%
Sat, May 9 2 6 33.3%
Wed, May 6 5 7 71.4%
Tue, May 5 1 1 100.0%
Fri, May 1 3 6 50.0%
Thu, Apr 30 1 1 100.0%
Show all 13 days →