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 | Carson Benge 10 games | NYM vs NYM@ATL | HR | 0.5 | +600 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 402 | MLB | Carson Benge 10 games | NYM vs NYM@ATL | R | 1.5 | +1000 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 403 | MLB | Ceddanne Rafaela 10 games | BOS vs BOS@TOR | H | 1.5 | +175 | 1 | -0.5 | 2/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 404 | MLB | Chandler Simpson 10 games | TB vs TBR@Athlet | R | 0.5 | +125 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 405 | MLB | Coby Mayo 10 games | BAL vs BAL@MIN | RBI | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 3.0 | WIN | LOSS | |
| 406 | MLB | Corbin Carroll 10 games | AZ vs COL@ARI | RBI | 0.5 | +140 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 407 | MLB | Daulton Varsho 10 games | HOU vs HOU@SFG | R | 0.5 | +135 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Drake Baldwin 10 games | ATL vs NYM@ATL | H | 1.5 | +200 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 409 | MLB | Drake Baldwin 10 games | ATL vs NYM@ATL | TB | 1.5 | +113 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 3.0 | WIN | LOSS | |
| 410 | MLB | Drew Gilbert 10 games | SF vs HOU@SFG | H | 0.5 | -135 | 0.6 | +0.1 | 2/5 | +-0 | 37 | F | 1.0 | WIN | LOSS | |
| 411 | MLB | Ernie Clement 10 games | TOR vs BOS@TOR | H | 1.5 | +280 | 1.2 | -0.3 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Ernie Clement 10 games | TOR vs BOS@TOR | R | 0.5 | +200 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Ezequiel Duran 10 games | TEX vs TEX@LAA | R | 0.5 | +140 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 414 | MLB | Ezequiel Tovar 10 games | COL vs COL@ARI | R | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | — | PENDING | PENDING | |
| 415 | MLB | Francisco Alvarez 10 games | NYM vs NYM@ATL | RBI | 0.5 | +240 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 416 | MLB | Freddie Freeman 10 games | LAD vs KCR@LAD | H | 0.5 | -225 | 0.6 | +0.1 | 3/5 | -0.9 | 37 | F | 3.0 | WIN | LOSS | |
| 417 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | H | 1.5 | +185 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 418 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | R | 0.5 | +105 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 1.0 | WIN | LOSS | |
| 419 | MLB | Garrett Mitchell 10 games | MIL vs MIL@SDP | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Gavin Sheets 10 games | SD vs MIL@SDP | R | 0.5 | +195 | 0.4 | -0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 421 | MLB | George Springer 10 games | TOR vs BOS@TOR | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.6 | 37 | F | 1.0 | WIN | LOSS | |
| 422 | MLB | Grant McCray 10 games | SF vs HOU@SFG | R | 0.5 | +210 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Gunnar Henderson 10 games | BAL vs BAL@MIN | R | 1.5 | +500 | 0.8 | -0.7 | 2/5 | +0.1 | 37 | F | 1.0 | LOSS | WIN | |
| 424 | MLB | Hunter Dobbins 5 games | STL vs PHI@STL | K | 4.5 | +270 | 4.4 | -0.1 | 2/5 | -0.1 | 37 | F | 6.0 | WIN | LOSS | |
| 425 | MLB | Hunter Feduccia 10 games | LAD vs KCR@LAD | R | 0.5 | +190 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 426 | MLB | Jac Caglianone 10 games | KC vs KCR@LAD | RBI | 1.5 | +800 | 1.2 | -0.3 | 2/5 | +0.2 | 37 | F | 3.0 | WIN | LOSS | |
| 427 | MLB | Jackson Merrill 10 games | SD vs MIL@SDP | H | 1.5 | +360 | 1.2 | -0.3 | 2/5 | +0 | 37 | F | 1.0 | LOSS | WIN | |
| 428 | MLB | Jackson Merrill 10 games | SD vs MIL@SDP | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 429 | MLB | Jacob Wilson 10 games | ATH vs TBR@Athlet | TB | 1.5 | +110 | 1.4 | -0.1 | 2/5 | +0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 430 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | TB | 1.5 | +170 | 1.6 | +0.1 | 1/5 | -0.5 | 37 | F | 2.0 | WIN | LOSS | |
| 431 | MLB | Jake McCarthy 10 games | COL vs COL@ARI | RBI | 0.5 | +260 | 0.6 | +0.1 | 1/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 432 | MLB | Jared Young 10 games | NYM vs NYM@ATL | H | 1.5 | +360 | 1.4 | -0.1 | 2/5 | +0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 433 | MLB | Jeff McNeil 10 games | ATH vs TBR@Athlet | R | 0.5 | +138 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | 1.0 | WIN | LOSS | |
| 434 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | RBI | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | JJ Wetherholt 10 games | STL vs PHI@STL | TB | 1.5 | +134 | 1.2 | -0.3 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Jonah Heim 10 games | ATH vs TBR@Athlet | TB | 1.5 | +140 | 1.2 | -0.3 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | Jonny Deluca 10 games | TB vs TBR@Athlet | R | 0.5 | +110 | 0.4 | -0.1 | 2/5 | -0.3 | 37 | F | 2.0 | WIN | LOSS | |
| 438 | MLB | Jordan Walker 10 games | STL vs PHI@STL | R | 0.5 | +112 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 439 | MLB | Jorge Polanco 10 games | NYM vs NYM@ATL | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Jose Siri 10 games | LAA vs TEX@LAA | HR | 0.5 | +550 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Jose Siri 10 games | LAA vs TEX@LAA | R | 0.5 | +188 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Jose Siri 10 games | LAA vs TEX@LAA | RBI | 0.5 | +263 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Jung Hoo Lee 10 games | SF vs HOU@SFG | H | 0.5 | -300 | 0.6 | +0.1 | 3/5 | -0.7 | 37 | F | 2.0 | WIN | LOSS | |
| 444 | MLB | Justin Crawford 10 games | PHI vs PHI@STL | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 1.0 | WIN | LOSS | |
| 445 | MLB | Justin Crawford 10 games | PHI vs PHI@STL | TB | 1.5 | +170 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 2.0 | WIN | LOSS | |
| 446 | MLB | Kyle Karros 10 games | COL vs COL@ARI | R | 0.5 | +178 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | HR | 0.5 | +500 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Leody Taveras 10 games | BAL vs BAL@MIN | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 449 | MLB | Liam Hicks 10 games | TB vs TBR@Athlet | RBI | 1.5 | +500 | 1.2 | -0.3 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Luis Lara 10 games | MIL vs MIL@SDP | H | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.2 | 37 | F | 1.0 | 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.