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 | Isaac Collins 10 games | KC vs SDP@KCR | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 402 | MLB | Isaac Paredes 10 games | HOU vs BAL@HOU | RBI | 0.5 | +188 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 403 | MLB | Ivan Herrera 10 games | NL vs STL@ARI | H | 1.5 | +200 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 404 | MLB | Jac Caglianone 10 games | KC vs SDP@KCR | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 405 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | RBI | 0.5 | +272 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 406 | MLB | Jacob Young 10 games | WSH vs WSN@ATHLET | RBI | 0.5 | +192 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 407 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 408 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 409 | MLB | Jake Mangum 10 games | PIT vs PIT@CLE | H | 1.5 | +200 | 1.2 | -0.3 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 410 | MLB | Jake Mangum 10 games | PIT vs PIT@CLE | HR | 0.5 | +1200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 411 | MLB | Jake McCarthy 10 games | COL vs CIN@COL | H | 1.5 | +130 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 412 | MLB | Jake McCarthy 10 games | COL vs CIN@COL | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 413 | MLB | Jakob Marsee 10 games | MIA vs MIA@MIL | RBI | 0.5 | +304 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 414 | MLB | James Jarvis 8 games | vs TEX@ATL | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 415 | MLB | James Jarvis 8 games | vs TEX@ATL | RBI | 0.5 | +262 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 416 | MLB | Jared Triolo 10 games | PIT vs PIT@CLE | RBI | 0.5 | +286 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 417 | MLB | Jarren Duran 10 games | BOS vs TBR@BOS | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 418 | MLB | Jase Bowen 10 games | SD vs SDP@KCR | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 419 | MLB | Jazz Chisholm Jr. 10 games | NYY vs LAD@NYY | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 420 | MLB | Jeff McNeil 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +221 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 421 | MLB | JJ Bleday 10 games | CIN vs CIN@COL | H | 1.5 | +180 | 1.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 422 | MLB | Jo Adell 10 games | LAA vs DET@LAA | HR | 0.5 | +450 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 423 | MLB | Joey Ortiz 10 games | MIL vs MIA@MIL | HR | 0.5 | +1200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 424 | MLB | Joey Ortiz 10 games | MIL vs MIA@MIL | RBI | 0.5 | +304 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 425 | MLB | Jonathan Aranda 10 games | TB vs TBR@BOS | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 426 | MLB | Jordan Walker 10 games | NL vs STL@ARI | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 427 | MLB | Jose Fermin 7 games | STL vs STL@ARI | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 428 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | H | 1.5 | +195 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 429 | MLB | Junior Caminero 10 games | AL vs TBR@BOS | H | 1.5 | +180 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 430 | MLB | Kahlil Watson 10 games | CLE vs PIT@CLE | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 431 | MLB | Keibert Ruiz 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 432 | MLB | Kevin McGonigle 10 games | AL vs DET@LAA | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 433 | MLB | Kevin McGonigle 10 games | AL vs DET@LAA | RBI | 0.5 | +214 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 434 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 435 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | HR | 0.5 | +280 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 436 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | RBI | 0.5 | +198 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 437 | MLB | LaMonte Wade Jr. 10 games | HOU vs BAL@HOU | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 438 | MLB | Lane Thomas 10 games | KC vs SDP@KCR | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 439 | MLB | Lars Nootbaar 10 games | STL vs STL@ARI | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 440 | MLB | Luis Arraez 10 games | NL vs SFG@SEA | RBI | 0.5 | +306 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 441 | MLB | Luis Campusano 8 games | SD vs SDP@KCR | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 442 | MLB | Luis Campusano 8 games | SD vs SDP@KCR | RBI | 0.5 | +196 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 443 | MLB | Luke Raley 10 games | SEA vs SFG@SEA | RBI | 0.5 | +232 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 444 | MLB | Manny Machado 10 games | SD vs SDP@KCR | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 445 | MLB | Marcelo Mayer 10 games | BOS vs TBR@BOS | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 446 | MLB | Masataka Yoshida 10 games | BOS vs TBR@BOS | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 447 | MLB | Matt Olson 10 games | NL vs TEX@ATL | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 448 | MLB | Matt Olson 10 games | NL vs TEX@ATL | RBI | 0.5 | +134 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 449 | MLB | Mauricio Dubon 10 games | ATL vs TEX@ATL | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 450 | MLB | Max Kepler 10 games | AZ vs STL@ARI | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | 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.