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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 401 | MLB | Kevin Gausman 10 games | TOR vs BAL@TOR | K | 6.5 | +120 | 6.2 | -0.3 | 2/5 | +2.2 | 43 | F | 5.0 | LOSS | WIN | |
| 402 | MLB | Wyatt Langford 10 games | TEX vs CLE@TEX | H | 0.5 | -165 | 1 | +0.5 | 3/5 | -0.9 | 43 | F | 1.0 | WIN | LOSS | |
| 403 | MLB | Adley Rutschman 10 games | BAL vs BAL@TOR | H | 1.5 | +260 | 1.6 | +0.1 | 2/5 | +0.5 | 42 | F | 1.0 | LOSS | WIN | |
| 404 | MLB | Andy Pages 10 games | LAD vs LAA@LAD | RBI | 0.5 | +168 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | — | PENDING | PENDING | |
| 405 | MLB | Andy Pages 10 games | LAD vs LAA@LAD | TB | 1.5 | +121 | 1.6 | +0.1 | 2/5 | -0.3 | 42 | F | — | PENDING | PENDING | |
| 406 | MLB | Blake Dunn 10 games | CIN vs CIN@STL | RBI | 0.5 | +240 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Brandon Lowe 10 games | PIT vs PIT@ATL | RBI | 0.5 | +160 | 0.8 | +0.3 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Brandon Lowe 10 games | PIT vs PIT@ATL | TB | 1.5 | +125 | 1.6 | +0.1 | 2/5 | -0.1 | 42 | F | 2.0 | WIN | LOSS | |
| 409 | MLB | Brice Turang 10 games | MIL vs MIL@COL | RBI | 0.5 | +133 | 0.8 | +0.3 | 2/5 | +-0 | 42 | F | 2.0 | WIN | LOSS | |
| 410 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | RBI | 0.5 | +190 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Bryce Eldridge 10 games | SF vs SFG@CHC | TB | 1.5 | +130 | 1.6 | +0.1 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Caleb Durbin 10 games | BOS vs BOS@NYY | RBI | 0.5 | +329 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Carson Benge 10 games | NYM vs NYM@SDP | R | 0.5 | +115 | 0.6 | +0.1 | 2/5 | -0.3 | 42 | F | 3.0 | WIN | LOSS | |
| 414 | MLB | Cody Bellinger 10 games | NYY vs BOS@NYY | RBI | 0.5 | +175 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 415 | MLB | Colt Emerson 10 games | SEA vs SEA@DET | H | 0.5 | -150 | 0.8 | +0.3 | 3/5 | -0.5 | 42 | F | 1.0 | WIN | LOSS | |
| 416 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | R | 0.5 | +150 | 0.6 | +0.1 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | RBI | 0.5 | +199 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Curtis Mead 10 games | WSH vs WSN@ARI | TB | 1.5 | +144 | 1.6 | +0.1 | 2/5 | +0.4 | 42 | F | 2.0 | WIN | LOSS | |
| 419 | MLB | Dillon Dingler 10 games | DET vs SEA@DET | HR | 0.5 | +550 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Dominic Canzone 10 games | SEA vs SEA@DET | R | 0.5 | +145 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 421 | MLB | Donovan Walton 10 games | LAA vs LAA@LAD | R | 0.5 | +208 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | — | PENDING | PENDING | |
| 422 | MLB | Dylan Crews 10 games | WSH vs WSN@ARI | R | 0.5 | +184 | 0.8 | +0.3 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Freddy Fermin 10 games | SD vs NYM@SDP | RBI | 0.5 | +300 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 3.0 | WIN | LOSS | |
| 424 | MLB | Ian Happ 10 games | CHC vs SFG@CHC | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Ivan Herrera 10 games | STL vs CIN@STL | R | 0.5 | +100 | 0.6 | +0.1 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 426 | MLB | Jackson Merrill 10 games | SD vs NYM@SDP | RBI | 0.5 | +240 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Jacob Young 10 games | WSH vs WSN@ARI | TB | 1.5 | +185 | 1.8 | +0.3 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 428 | MLB | Jake Mangum 10 games | PIT vs PIT@ATL | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Jake Mangum 10 games | PIT vs PIT@ATL | RBI | 0.5 | +233 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 430 | MLB | Jared Triolo 10 games | PIT vs PIT@ATL | H | 0.5 | -150 | 0.6 | +0.1 | 3/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 431 | MLB | Jo Adell 10 games | LAA vs LAA@LAD | H | 0.5 | -150 | 0.6 | +0.1 | 3/5 | +0.1 | 42 | F | 4.0 | WIN | LOSS | |
| 432 | MLB | Jose Altuve 10 games | HOU vs Athletics@ | R | 0.5 | +125 | 0.6 | +0.1 | 2/5 | +0.4 | 42 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Josh Jung 10 games | TEX vs CLE@TEX | RBI | 0.5 | +203 | 0.6 | +0.1 | 2/5 | -0.4 | 42 | F | 1.0 | WIN | LOSS | |
| 434 | MLB | Josh Naylor 10 games | SEA vs SEA@DET | TB | 1.5 | +130 | 1.8 | +0.3 | 2/5 | -0.3 | 42 | F | 3.0 | WIN | LOSS | |
| 435 | MLB | Julio Rodriguez 10 games | SEA vs SEA@DET | RBI | 0.5 | +165 | 0.6 | +0.1 | 2/5 | +0.2 | 42 | F | — | PENDING | PENDING | |
| 436 | MLB | Kazuma Okamoto 10 games | TOR vs BAL@TOR | RBI | 0.5 | +201 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 1.0 | WIN | LOSS | |
| 437 | MLB | Ketel Marte 10 games | AZ vs WSN@ARI | TB | 1.5 | +113 | 1.6 | +0.1 | 2/5 | -0.1 | 42 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Kevin McGonigle 10 games | DET vs SEA@DET | TB | 1.5 | +125 | 1.6 | +0.1 | 2/5 | +0.4 | 42 | F | 5.0 | WIN | LOSS | |
| 439 | MLB | Kyle Higashioka 10 games | TEX vs CLE@TEX | H | 1.5 | +475 | 1.6 | +0.1 | 2/5 | +0 | 42 | F | — | PENDING | PENDING | |
| 440 | MLB | Kyle Karros 10 games | COL vs MIL@COL | TB | 1.5 | +125 | 1.8 | +0.3 | 2/5 | -0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Kyle Schwarber 10 games | PHI vs CHW@PHI | TB | 1.5 | +102 | 1.8 | +0.3 | 2/5 | +-0 | 42 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Kyle Stowers 10 games | MIA vs TBR@MIA | RBI | 0.5 | +184 | 0.6 | +0.1 | 2/5 | -0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 443 | MLB | Lars Nootbaar 2 games | STL vs CIN@STL | H | 1.5 | +240 | 1.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Lars Nootbaar 2 games | STL vs CIN@STL | HR | 0.5 | +500 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Lars Nootbaar 2 games | STL vs CIN@STL | RBI | 1.5 | +550 | 1.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Luis Torrens 10 games | NYM vs NYM@SDP | RBI | 0.5 | +340 | 0.8 | +0.3 | 2/5 | +0.3 | 42 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | LuJames Groover 2 games | AZ vs WSN@ARI | RBI | 0.5 | +200 | 0.5 | +0 | 1/2 | +0 | 42 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Marcelo Mayer 10 games | BOS vs BOS@NYY | R | 0.5 | +210 | 0.6 | +0.1 | 2/5 | -0.5 | 42 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Marcus Semien 10 games | NYM vs NYM@SDP | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.1 | 42 | F | 1.0 | WIN | LOSS | |
| 450 | MLB | Marcus Semien 10 games | NYM vs NYM@SDP | TB | 1.5 | +155 | 1.8 | +0.3 | 2/5 | -0.1 | 42 | F | 5.0 | WIN | LOSS |
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.