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 | James Jarvis 10 games | vs SDP@ATL | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 402 | MLB | James Outman 10 games | DET vs KCR@DET | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 403 | MLB | James Outman 10 games | DET vs KCR@DET | RBI | 0.5 | +281 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 3.0 | WIN | LOSS | |
| 404 | MLB | James Outman 10 games | DET vs KCR@DET | TB | 1.5 | +230 | 0.6 | -0.9 | 0/5 | -0.4 | 29 | F | 4.0 | WIN | LOSS | |
| 405 | MLB | Jase Bowen 10 games | SD vs SDP@ATL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | Jonathan Aranda 10 games | TB vs TBR@TOR | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 407 | MLB | Jonathan Aranda 10 games | TB vs TBR@TOR | R | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Jonathan Aranda 10 games | TB vs TBR@TOR | TB | 1.5 | +115 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Jordan Walker 10 games | STL vs ARI@STL | H | 1.5 | +200 | 0.8 | -0.7 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 410 | MLB | Jordan Walker 10 games | STL vs ARI@STL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 411 | MLB | Josh Bell 10 games | MIN vs MIN@CLE | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 412 | MLB | Josh Rojas 10 games | KC vs KCR@DET | RBI | 0.5 | +283 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 413 | MLB | Junior Caminero 10 games | TB vs TBR@TOR | HR | 0.5 | +240 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | Kazuma Okamoto 10 games | TOR vs TBR@TOR | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | Kazuma Okamoto 10 games | TOR vs TBR@TOR | R | 0.5 | +105 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 416 | MLB | Kerry Carpenter 10 games | DET vs KCR@DET | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 417 | MLB | Kerry Carpenter 10 games | DET vs KCR@DET | R | 0.5 | +125 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 418 | MLB | Kerry Carpenter 10 games | DET vs KCR@DET | RBI | 0.5 | +185 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Lars Nootbaar 10 games | STL vs ARI@STL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Lars Nootbaar 10 games | STL vs ARI@STL | RBI | 0.5 | +212 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 3.0 | WIN | LOSS | |
| 421 | MLB | Lars Nootbaar 10 games | STL vs ARI@STL | TB | 1.5 | +165 | 0.6 | -0.9 | 0/5 | -0.5 | 29 | F | 2.0 | WIN | LOSS | |
| 422 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@STL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 423 | MLB | Luis Campusano 10 games | SD vs SDP@ATL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 424 | MLB | Luke Keaschall 10 games | MIN vs MIN@CLE | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 425 | MLB | Luke Keaschall 10 games | MIN vs MIN@CLE | RBI | 0.5 | +303 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 426 | MLB | Masyn Winn 10 games | STL vs ARI@STL | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Masyn Winn 10 games | STL vs ARI@STL | R | 0.5 | +165 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 428 | MLB | Matt Olson 10 games | ATL vs SDP@ATL | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 429 | MLB | Michael Massey 10 games | KC vs KCR@DET | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 430 | MLB | Michael Massey 10 games | KC vs KCR@DET | RBI | 0.5 | +242 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 431 | MLB | Myles Straw 10 games | TOR vs TBR@TOR | H | 0.5 | -120 | 0.2 | -0.3 | 1/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 432 | MLB | Myles Straw 10 games | TOR vs TBR@TOR | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Myles Straw 10 games | TOR vs TBR@TOR | R | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 434 | MLB | Myles Straw 10 games | TOR vs TBR@TOR | RBI | 0.5 | +325 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 435 | MLB | Nathan Church 10 games | STL vs ARI@STL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Nathan Church 10 games | STL vs ARI@STL | R | 0.5 | +175 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 437 | MLB | Nathan Church 10 games | STL vs ARI@STL | TB | 1.5 | +185 | 0.4 | -1.1 | 1/5 | +0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 438 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 439 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | RBI | 0.5 | +277 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 440 | MLB | Pavin Smith 10 games | AZ vs ARI@STL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 441 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | RBI | 0.5 | +266 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | TB | 1.5 | +200 | 0.6 | -0.9 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | TB | 1.5 | +185 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 446 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | R | 0.5 | +250 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 448 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | RBI | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 449 | MLB | Steven Kwan 10 games | CLE vs MIN@CLE | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | RBI | 0.5 | +266 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING |
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.