Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | MLB | Tristan Peters 10 games | CWS vs CHW@NYY | RBI | 0.5 | +292 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 552 | MLB | Tyler Soderstrom 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +130 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 553 | MLB | Victor Caratini 10 games | MIN vs MIN@TEX | H | 0.5 | -148 | 0.6 | +0.1 | 3/5 | -0.3 | 42 | F | — | PENDING | PENDING | |
| 554 | MLB | Willi Castro 10 games | COL vs COL@CHC | R | 0.5 | +115 | 0.8 | +0.3 | 2/5 | +0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 555 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | RBI | 0.5 | +190 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 556 | MLB | Xander Bogaerts 10 games | SD vs SDP@STL | R | 0.5 | +140 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Yohendrick Pinango 5 games | TOR vs TOR@BOS | RBI | 0.5 | +302 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | — | PENDING | PENDING | |
| 558 | MLB | Zack Gelof 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +166 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 559 | MLB | Christian Yelich 10 games | MIL vs CLE@MIL | TB | 1.5 | +130 | 1.4 | -0.1 | 3/5 | -0.6 | 41 | F | 0.0 | LOSS | WIN | |
| 560 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | H | 1.5 | +200 | 1.2 | -0.3 | 3/5 | -1.1 | 41 | F | 1.0 | LOSS | WIN | |
| 561 | MLB | Jung Hoo Lee 10 games | SF vs SFG@ATL | TB | 1.5 | +130 | 1.4 | -0.1 | 3/5 | -1.4 | 41 | F | 4.0 | WIN | LOSS | |
| 562 | MLB | Zebby Matthews 6 games | MIN vs MIN@TEX | K | 5.5 | +180 | 5 | -0.5 | 3/5 | -0.7 | 41 | F | 4.0 | LOSS | WIN | |
| 563 | MLB | Alex Bregman 10 games | CHC vs COL@CHC | H | 1.5 | +220 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 564 | MLB | Andrew Benintendi 10 games | CWS vs CHW@NYY | H | 0.5 | -153 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 565 | MLB | Ben Rice 10 games | NYY vs CHW@NYY | H | 0.5 | -210 | 0.8 | +0.3 | 3/5 | +0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 566 | MLB | Brandon Lowe 10 games | PIT vs PIT@Athlet | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 567 | MLB | Brandon Marsh 10 games | PHI vs MIA@PHI | H | 1.5 | +230 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 568 | MLB | Brooks Lee 10 games | MIN vs MIN@TEX | H | 0.5 | -156 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 569 | MLB | Bryson Stott 10 games | PHI vs MIA@PHI | R | 1.5 | +900 | 0.8 | -0.7 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 570 | MLB | Caleb Durbin 10 games | BOS vs TOR@BOS | TB | 1.5 | +190 | 2 | +0.5 | 1/5 | -1.5 | 40 | F | 0.0 | LOSS | WIN | |
| 571 | MLB | Carson Benge 10 games | NYM vs NYM@CIN | H | 0.5 | -237 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 572 | MLB | Casey Schmitt 10 games | SF vs SFG@ATL | H | 0.5 | -181 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 573 | MLB | Cedric Mullins 10 games | TB vs TBR@LAD | H | 1.5 | +400 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | — | PENDING | PENDING | |
| 574 | MLB | Chase Meidroth 10 games | CWS vs CHW@NYY | RBI | 1.5 | +1000 | 0.8 | -0.7 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 575 | MLB | Cody Bellinger 10 games | NYY vs CHW@NYY | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 3.0 | WIN | LOSS | |
| 576 | MLB | Colt Emerson 10 games | SEA vs BAL@SEA | RBI | 1.5 | +900 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Corbin Carroll 10 games | AZ vs LAA@ARI | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 578 | MLB | Donovan Walton 10 games | LAA vs LAA@ARI | H | 1.5 | +340 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 2.0 | WIN | LOSS | |
| 579 | MLB | Drake Baldwin 10 games | ATL vs SFG@ATL | RBI | 1.5 | +475 | 1 | -0.5 | 2/5 | +0.5 | 40 | F | 1.0 | LOSS | WIN | |
| 580 | MLB | Freddie Freeman 10 games | LAD vs TBR@LAD | H | 0.5 | -210 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 2.0 | WIN | LOSS | |
| 581 | MLB | George Springer 10 games | TOR vs TOR@BOS | H | 0.5 | -219 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 2.0 | WIN | LOSS | |
| 582 | MLB | George Springer 10 games | TOR vs TOR@BOS | TB | 1.5 | +121 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 5.0 | WIN | LOSS | |
| 583 | MLB | Geraldo Perdomo 10 games | AZ vs LAA@ARI | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 584 | MLB | Gunnar Henderson 10 games | BAL vs BAL@SEA | H | 1.5 | +300 | 1.2 | -0.3 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 585 | MLB | Hunter Goodman 10 games | COL vs COL@CHC | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 586 | MLB | Ivan Herrera 10 games | STL vs SDP@STL | RBI | 0.5 | +244 | 0.6 | +0.1 | 1/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 587 | MLB | J.T. Realmuto 10 games | PHI vs MIA@PHI | RBI | 1.5 | +700 | 1.2 | -0.3 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 588 | MLB | Jacob Wilson 10 games | ATH vs PIT@Athlet | H | 0.5 | -375 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 589 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | TB | 1.5 | +160 | 1.6 | +0.1 | 1/5 | +1 | 40 | F | 5.0 | WIN | LOSS | |
| 590 | MLB | Jasson Domínguez 10 games | NYY vs CHW@NYY | H | 0.5 | -188 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | — | PENDING | PENDING | |
| 591 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CHW@NYY | H | 0.5 | -155 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 592 | MLB | Jeff McNeil 10 games | ATH vs PIT@Athlet | RBI | 0.5 | +232 | 0.8 | +0.3 | 1/5 | +0.9 | 40 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Jimmy Crooks 9 games | STL vs SDP@STL | RBI | 1.5 | +800 | 0.8 | -0.7 | 2/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 594 | MLB | Jimmy Crooks 9 games | STL vs SDP@STL | TB | 1.5 | +220 | 1.4 | -0.1 | 2/5 | +1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 595 | MLB | Josh Jung 10 games | TEX vs MIN@TEX | H | 0.5 | -300 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 596 | MLB | Josh Naylor 10 games | SEA vs BAL@SEA | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | -0.4 | 40 | F | — | PENDING | PENDING | |
| 597 | MLB | Josh Smith 10 games | TEX vs MIN@TEX | H | 1.5 | +340 | 0.8 | -0.7 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 598 | MLB | Josh Smith 10 games | TEX vs MIN@TEX | TB | 1.5 | +180 | 0.8 | -0.7 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 599 | MLB | Julio Rodriguez 10 games | SEA vs BAL@SEA | H | 0.5 | -231 | 0.6 | +0.1 | 3/5 | +0.3 | 40 | F | — | PENDING | PENDING | |
| 600 | MLB | Junior Caminero 10 games | TB vs TBR@LAD | TB | 2.5 | +170 | 1.8 | -0.7 | 2/5 | +1 | 40 | F | 0.0 | LOSS | WIN |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.