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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 301 | MLB | Alec Bohm 10 games | PHI vs SDP@PHI | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | +0.1 | 40 | F | 2.0 | WIN | LOSS | |
| 302 | MLB | Alex Call 10 games | LAD vs LAD@ARI | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | — | PENDING | PENDING | |
| 303 | MLB | Brandon Lowe 10 games | PIT vs PIT@HOU | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 304 | MLB | Brandon Marsh 10 games | PHI vs SDP@PHI | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +0.8 | 40 | F | 1.0 | LOSS | WIN | |
| 305 | MLB | Brice Turang 10 games | MIL vs SFG@MIL | H | 1.5 | +199 | 1 | -0.5 | 2/5 | +1.1 | 40 | F | 2.0 | WIN | LOSS | |
| 306 | MLB | Brice Turang 10 games | MIL vs SFG@MIL | RBI | 1.5 | +500 | 0.8 | -0.7 | 2/5 | +0.8 | 40 | F | 0.0 | LOSS | WIN | |
| 307 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | H | 0.5 | -235 | 0.8 | +0.3 | 3/5 | -0.1 | 40 | F | 0.0 | LOSS | WIN | |
| 308 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | TB | 1.5 | +130 | 2 | +0.5 | 1/5 | -1.1 | 40 | F | 0.0 | LOSS | WIN | |
| 309 | MLB | Bryson Stott 10 games | PHI vs SDP@PHI | TB | 1.5 | +160 | 1.2 | -0.3 | 2/5 | +1.1 | 40 | F | 2.0 | WIN | LOSS | |
| 310 | MLB | Ceddanne Rafaela 10 games | BOS vs BAL@BOS | H | 1.5 | +197 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 311 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | H | 1.5 | +188 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 312 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | R | 1.5 | +450 | 1 | -0.5 | 2/5 | +0.7 | 40 | F | 2.0 | WIN | LOSS | |
| 313 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | RBI | 1.5 | +550 | 0.8 | -0.7 | 2/5 | +0.6 | 40 | F | 0.0 | LOSS | WIN | |
| 314 | MLB | Colton Cowser 10 games | BAL vs BAL@BOS | RBI | 0.5 | +240 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 1.0 | WIN | LOSS | |
| 315 | MLB | Corbin Carroll 10 games | AZ vs LAD@ARI | H | 0.5 | -220 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 3.0 | WIN | LOSS | |
| 316 | MLB | Gabriel Moreno 10 games | AZ vs LAD@ARI | H | 0.5 | -235 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 317 | MLB | George Springer 10 games | TOR vs TOR@ATL | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 318 | MLB | Ildemaro Vargas 10 games | AZ vs LAD@ARI | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | -0.2 | 40 | F | 0.0 | LOSS | WIN | |
| 319 | MLB | Isaac Paredes 10 games | HOU vs PIT@HOU | H | 0.5 | -160 | 0.8 | +0.3 | 3/5 | +0.3 | 40 | F | 1.0 | WIN | LOSS | |
| 320 | MLB | J.T. Realmuto 10 games | PHI vs SDP@PHI | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | -0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 321 | MLB | Jackson Chourio 10 games | MIL vs SFG@MIL | H | 1.5 | +176 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 3.0 | WIN | LOSS | |
| 322 | MLB | Jackson Chourio 10 games | MIL vs SFG@MIL | RBI | 1.5 | +450 | 1.4 | -0.1 | 2/5 | +0.6 | 40 | F | 4.0 | WIN | LOSS | |
| 323 | MLB | Jake Bauers 10 games | MIL vs SFG@MIL | H | 0.5 | -180 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 324 | MLB | Jeff McNeil 10 games | ATH vs Athletics@ | H | 0.5 | -165 | 0.6 | +0.1 | 3/5 | +0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 325 | MLB | Luis Arraez 10 games | SF vs SFG@MIL | TB | 1.5 | +129 | 1.6 | +0.1 | 1/5 | +0.8 | 40 | F | 3.0 | WIN | LOSS | |
| 326 | MLB | Luis Rengifo 10 games | MIL vs SFG@MIL | R | 0.5 | +135 | 0.6 | +0.1 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 327 | MLB | Manny Machado 10 games | SD vs SDP@PHI | H | 0.5 | -165 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 1.0 | WIN | LOSS | |
| 328 | MLB | Marcelo Mayer 10 games | BOS vs BAL@BOS | H | 0.5 | -190 | 0.8 | +0.3 | 3/5 | +-0 | 40 | F | — | PENDING | PENDING | |
| 329 | MLB | Miguel Andujar 10 games | SD vs SDP@PHI | H | 0.5 | -200 | 0.8 | +0.3 | 3/5 | +0.4 | 40 | F | 0.0 | LOSS | WIN | |
| 330 | MLB | Nolan Arenado 10 games | AZ vs LAD@ARI | H | 0.5 | -200 | 0.6 | +0.1 | 3/5 | +-0 | 40 | F | 1.0 | WIN | LOSS | |
| 331 | MLB | Nolan Arenado 10 games | AZ vs LAD@ARI | TB | 1.5 | +145 | 1.4 | -0.1 | 2/5 | +0.7 | 40 | F | 1.0 | LOSS | WIN | |
| 332 | MLB | Ryan Waldschmidt 10 games | AZ vs LAD@ARI | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | -0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 333 | MLB | Sal Frelick 10 games | MIL vs SFG@MIL | H | 1.5 | +280 | 1 | -0.5 | 2/5 | +0.6 | 40 | F | 1.0 | LOSS | WIN | |
| 334 | MLB | Sal Frelick 10 games | MIL vs SFG@MIL | TB | 1.5 | +155 | 1.4 | -0.1 | 2/5 | +1 | 40 | F | 1.0 | LOSS | WIN | |
| 335 | MLB | Salvador Perez 10 games | KC vs KCR@MIN | H | 0.5 | -220 | 0.6 | +0.1 | 3/5 | -0.1 | 40 | F | 1.0 | WIN | LOSS | |
| 336 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | H | 0.5 | -275 | 0.6 | +0.1 | 3/5 | +0.2 | 40 | F | 2.0 | WIN | LOSS | |
| 337 | MLB | Travis Bazzana 10 games | CLE vs CLE@NYY | RBI | 0.5 | +265 | 0.8 | +0.3 | 1/5 | +0.7 | 40 | F | 0.0 | LOSS | WIN | |
| 338 | MLB | William Contreras 10 games | MIL vs SFG@MIL | H | 0.5 | -320 | 0.6 | +0.1 | 3/5 | -0.3 | 40 | F | 0.0 | LOSS | WIN | |
| 339 | MLB | Wilyer Abreu 10 games | BOS vs BAL@BOS | RBI | 1.5 | +500 | 1.2 | -0.3 | 2/5 | +1.2 | 40 | F | 0.0 | LOSS | WIN | |
| 340 | MLB | Brayan Rocchio 10 games | CLE vs CLE@NYY | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | +0.1 | 39 | F | 0.0 | LOSS | WIN | |
| 341 | MLB | Bryan Reynolds 10 games | PIT vs PIT@HOU | RBI | 0.5 | +200 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 1.0 | WIN | LOSS | |
| 342 | MLB | Carter Jensen 10 games | KC vs KCR@MIN | R | 0.5 | -115 | 0.6 | +0.1 | 2/5 | -0.1 | 39 | F | 1.0 | WIN | LOSS | |
| 343 | MLB | Chase DeLauter 10 games | CLE vs CLE@NYY | H | 0.5 | -190 | 1 | +0.5 | 2/5 | +0.1 | 39 | F | 0.0 | LOSS | WIN | |
| 344 | MLB | Daulton Varsho 10 games | TOR vs TOR@ATL | TB | 1.5 | +210 | 1.6 | +0.1 | 2/5 | -0.8 | 39 | F | 0.0 | LOSS | WIN | |
| 345 | MLB | David Fry 10 games | CLE vs CLE@NYY | H | 0.5 | -120 | 0.8 | +0.3 | 2/5 | +0.4 | 39 | F | 0.0 | LOSS | WIN | |
| 346 | MLB | Drew Gilbert 10 games | SF vs SFG@MIL | TB | 1.5 | +240 | 1.8 | +0.3 | 2/5 | -1.4 | 39 | F | 2.0 | WIN | LOSS | |
| 347 | MLB | J.C. Escarra 10 games | NYY vs CLE@NYY | H | 0.5 | -110 | 0.6 | +0.1 | 1/5 | +0.5 | 39 | F | 0.0 | LOSS | WIN | |
| 348 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | RBI | 0.5 | +175 | 0.6 | +0.1 | 2/5 | -0.6 | 39 | F | 2.0 | WIN | LOSS | |
| 349 | MLB | Kyle Schwarber 10 games | PHI vs SDP@PHI | TB | 1.5 | +110 | 1.8 | +0.3 | 2/5 | -0.7 | 39 | F | 1.0 | LOSS | WIN | |
| 350 | MLB | Kyle Tucker 10 games | LAD vs LAD@ARI | H | 0.5 | -200 | 1 | +0.5 | 2/5 | +0.1 | 39 | 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.