Track Record ✦ the last 30 days

52.2% Accuracy

48–44 across 92 games

— By Simulation Type —

Simulation Correct Total Accuracy
Baseline ★ leader 53 92 57.6%
Pitcher-weighted 48 92 52.2%
Platoon-weighted 40 92 43.5%
Pitcher + Platoon 46 92 50.0%
Logistic 40 92 43.5%
Random Forest 41 92 44.6%
Consensus 48 92 52.2%
Baseline is leading individual model by 5.4 points. Consensus edges out 4 of 6 sims.

— Per-Team Accuracy —

★ Top 5 teams
Mets
3–0 100.0%
Yankees
1–0 100.0%
Rays
4–1 80.0%
Angels
13–5 72.2%
Dodgers
10–4 71.4%
✗ Bottom 5 teams
Phillies
0–1 0.0%
Tigers
0–2 0.0%
Guardians
0–1 0.0%
Nationals
0–2 0.0%
Cardinals
0–3 0.0%

100-point spread between best and worst — Phillies 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% 51 52.2% 51.0% -1.3
55-60% 28 57.4% 53.6% -3.8
60-65% 12 61.6% 50.0% -11.6
65-70% 1 66.8% 100.0% +33.2
70%+ 0
Overconfidence shows up most in the 60-65% band.

— Lineup Impact —

Lineup status Games Correct Accuracy
Real lineups 902 497 55.1%
Fallback lineups 365 215 58.9%
Fallback-lineup predictions are 3.8 points more accurate. 29% of season picks rely on fallback lineups.

— Pick Distribution —

Avg confidence

55.2%

across 94 picks

Home team picks

77.7%

vs MLB home rate ~54%

Unanimous picks

17%

all sims agreed

— Recent Performance —

Last 30 days

★ Best day

3 of 3

Monday, July 6 · 100.0%

✗ Worst day

0 of 2

Wednesday, June 17 · 0.0%

Jun 8 Jun 23 Jul 7
Date Correct Total Accuracy
Tue, Jul 7 1 4 25.0%
Mon, Jul 6 3 3 100.0%
Sun, Jul 5 1 1 100.0%
Sat, Jul 4 5 7 71.4%
Fri, Jul 3 1 6 16.7%
Thu, Jul 2 2 3 66.7%
Wed, Jul 1 2 3 66.7%
Tue, Jun 30 1 4 25.0%
Mon, Jun 29 4 6 66.7%
Sat, Jun 27 2 4 50.0%
Show all 28 days →