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 | Ryan O'Hearn 10 games | PIT vs CIN@PIT | H | 0.5 | -160 | 1.4 | +0.9 | 3/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 402 | MLB | Ryan O'Hearn 10 games | PIT vs CIN@PIT | RBI | 0.5 | +224 | 1.2 | +0.7 | 1/5 | +1.3 | 46 | F | 1.0 | WIN | LOSS | |
| 403 | MLB | Taylor Walls 10 games | TB vs ARI@TBR | H | 0.5 | -120 | 0.6 | +0.1 | 3/5 | +-0 | 46 | F | 1.0 | WIN | LOSS | |
| 404 | MLB | Taylor Ward 10 games | BAL vs WSN@BAL | H | 0.5 | -220 | 0.8 | +0.3 | 4/5 | -0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TEX@TOR | H | 0.5 | -250 | 1 | +0.5 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | A.J. Ewing 10 games | NYM vs PHI@NYM | RBI | 0.5 | +265 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 2.0 | WIN | LOSS | |
| 407 | MLB | Alex Bregman 10 games | CHC vs CHC@MIL | RBI | 0.5 | +241 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 1.0 | WIN | LOSS | |
| 408 | MLB | Byron Buxton 10 games | MIN vs COL@MIN | R | 0.5 | -140 | 1 | +0.5 | 3/5 | -0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Carter Jensen 10 games | KC vs KCR@CHW | H | 1.5 | +300 | 1.8 | +0.3 | 2/5 | +0.8 | 45 | F | 1.0 | LOSS | WIN | |
| 410 | MLB | Casey Schmitt 10 games | SF vs ATL@SFG | RBI | 0.5 | +192 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Christian Yelich 10 games | MIL vs CHC@MIL | TB | 1.5 | +160 | 1.8 | +0.3 | 2/5 | +1 | 45 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Curtis Mead 10 games | WSH vs WSN@BAL | RBI | 0.5 | +202 | 1 | +0.5 | 2/5 | -0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Dansby Swanson 10 games | CHC vs CHC@MIL | RBI | 0.5 | +267 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Daulton Varsho 10 games | TOR vs TEX@TOR | RBI | 0.5 | +176 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Freddy Fermin 10 games | SD vs LAD@SDP | RBI | 0.5 | +427 | 1 | +0.5 | 2/5 | -0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 416 | MLB | Freddy Fermin 10 games | SD vs LAD@SDP | TB | 1.5 | +325 | 2.2 | +0.7 | 2/5 | -1.5 | 45 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Isaac Collins 10 games | KC vs KCR@CHW | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Isaac Collins 10 games | KC vs KCR@CHW | TB | 1.5 | +230 | 1.8 | +0.3 | 2/5 | +1.3 | 45 | F | 1.0 | LOSS | WIN | |
| 419 | MLB | Jac Caglianone 10 games | KC vs KCR@CHW | RBI | 0.5 | +163 | 0.8 | +0.3 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Jake Burger 10 games | TEX vs TEX@TOR | RBI | 0.5 | +253 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 2.0 | WIN | LOSS | |
| 421 | MLB | Jakob Marsee 10 games | MIA vs MIA@STL | R | 0.5 | +120 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 422 | MLB | Jeremiah Jackson 10 games | BAL vs WSN@BAL | RBI | 0.5 | +200 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | TB | 1.5 | +150 | 1.6 | +0.1 | 2/5 | +1 | 45 | F | 2.0 | WIN | LOSS | |
| 424 | MLB | Jose Caballero 10 games | NYY vs NYY@BOS | TB | 1.5 | +190 | 2.2 | +0.7 | 2/5 | -1.1 | 45 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Josh Jung 10 games | TEX vs TEX@TOR | R | 0.5 | +170 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 1.0 | WIN | LOSS | |
| 426 | MLB | Josh Lowe 10 games | LAA vs Athletics@ | RBI | 0.5 | +315 | 0.8 | +0.3 | 2/5 | +0.9 | 45 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Josh Lowe 10 games | LAA vs Athletics@ | TB | 1.5 | +260 | 1.6 | +0.1 | 2/5 | +1 | 45 | F | 1.0 | LOSS | WIN | |
| 428 | MLB | Juan Soto 10 games | NYM vs PHI@NYM | RBI | 0.5 | +154 | 0.8 | +0.3 | 2/5 | +0.5 | 45 | F | 1.0 | WIN | LOSS | |
| 429 | MLB | Justin Crawford 10 games | PHI vs PHI@NYM | TB | 1.5 | +220 | 1.6 | +0.1 | 2/5 | +0.7 | 45 | F | 1.0 | LOSS | WIN | |
| 430 | MLB | Ketel Marte 10 games | AZ vs ARI@TBR | RBI | 0.5 | +189 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 431 | MLB | Ketel Marte 10 games | AZ vs ARI@TBR | TB | 1.5 | +120 | 1.8 | +0.3 | 2/5 | +0.6 | 45 | F | 4.0 | WIN | LOSS | |
| 432 | MLB | Kyle Manzardo 10 games | CLE vs SEA@CLE | RBI | 0.5 | +226 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Kyle Schwarber 10 games | PHI vs PHI@NYM | HR | 0.5 | +225 | 0.8 | +0.3 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 434 | MLB | Logan O'Hoppe 10 games | LAA vs Athletics@ | H | 1.5 | +400 | 1.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | LOSS | WIN | |
| 435 | MLB | Logan O'Hoppe 10 games | LAA vs Athletics@ | R | 0.5 | +150 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Masyn Winn 10 games | STL vs MIA@STL | H | 1.5 | +280 | 1.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | LOSS | WIN | |
| 437 | MLB | Nathan Lukes 10 games | TOR vs TEX@TOR | TB | 1.5 | +145 | 1.6 | +0.1 | 2/5 | +0.5 | 45 | F | 2.0 | WIN | LOSS | |
| 438 | MLB | Nolan Schanuel 10 games | LAA vs Athletics@ | RBI | 0.5 | +240 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 439 | MLB | Randy Arozarena 10 games | SEA vs SEA@CLE | TB | 1.5 | +151 | 2 | +0.5 | 2/5 | -1.4 | 45 | F | 5.0 | WIN | LOSS | |
| 440 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | RBI | 0.5 | +150 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Slade Cecconi 8 games | CLE vs SEA@CLE | K | 4.5 | +100 | 4.6 | +0.1 | 2/5 | +0.9 | 45 | F | 4.0 | LOSS | WIN | |
| 442 | MLB | TJ Rumfield 10 games | COL vs COL@MIN | TB | 1.5 | +130 | 2.2 | +0.7 | 2/5 | -0.9 | 45 | F | 3.0 | WIN | LOSS | |
| 443 | MLB | Travis Bazzana 10 games | CLE vs SEA@CLE | H | 1.5 | +300 | 1.6 | +0.1 | 2/5 | +1.3 | 45 | F | 2.0 | WIN | LOSS | |
| 444 | MLB | Travis Bazzana 10 games | CLE vs SEA@CLE | HR | 0.5 | +600 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Trea Turner 10 games | PHI vs PHI@NYM | R | 0.5 | +115 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 446 | MLB | Troy Johnston 10 games | COL vs COL@MIN | RBI | 0.5 | +232 | 1 | +0.5 | 2/5 | -0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | TB | 1.5 | +140 | 1.6 | +0.1 | 2/5 | +0.9 | 45 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Victor Caratini 10 games | MIN vs COL@MIN | H | 1.5 | +260 | 1.6 | +0.1 | 2/5 | +1.1 | 45 | F | 1.0 | LOSS | WIN | |
| 449 | MLB | Victor Mesa Jr. 10 games | TB vs ARI@TBR | R | 0.5 | +160 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 1.0 | WIN | LOSS | |
| 450 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TEX@TOR | R | 0.5 | +110 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | 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.