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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1301 | MLB | Sung-Mun Song 10 games | SD vs TOR@SDP | TB | 1.5 | +260 | 0.4 | -1.1 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1302 | MLB | Taylor Walls 10 games | TB vs SEA@TBR | H | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 1303 | MLB | Trea Turner 10 games | PHI vs PHI@DET | TB | 1.5 | +138 | 1 | -0.5 | 1/5 | -1.8 | 26 | F | 1.0 | LOSS | WIN | |
| 1304 | MLB | Trevor McDonald 10 games | SF vs COL@SFG | K | 4.5 | +102 | 2.6 | -1.9 | 1/5 | -1.1 | 26 | F | 4.0 | LOSS | WIN | |
| 1305 | MLB | Troy Johnston 10 games | COL vs COL@SFG | TB | 1.5 | +165 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1306 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@BAL | TB | 1.5 | +130 | 0.8 | -0.7 | 0/5 | -0.6 | 26 | F | 1.0 | LOSS | WIN | |
| 1307 | MLB | Weston Wilson 10 games | SEA vs SEA@TBR | TB | 1.5 | +250 | 0.4 | -1.1 | 0/5 | +0.1 | 26 | F | 4.0 | WIN | LOSS | |
| 1308 | MLB | Zack Short 10 games | NYM vs BOS@NYM | TB | 1.5 | +300 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1309 | MLB | Brandon Valenzuela 10 games | TOR vs TOR@SDP | H | 0.5 | -148 | 0.4 | -0.1 | 1/5 | +0.1 | 25 | F | 1.0 | WIN | LOSS | |
| 1310 | MLB | Carter Jensen 10 games | KC vs KCR@BAL | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 0.0 | LOSS | WIN | |
| 1311 | MLB | Ezequiel Tovar 10 games | COL vs COL@SFG | H | 0.5 | -149 | 0.2 | -0.3 | 1/5 | -0.2 | 25 | F | 0.0 | LOSS | WIN | |
| 1312 | MLB | Freddie Freeman 10 games | LAD vs ARI@LAD | R | 0.5 | -140 | 0.2 | -0.3 | 1/5 | +0 | 25 | F | 0.0 | LOSS | WIN | |
| 1313 | MLB | Ke'Bryan Hayes 6 games | CIN vs CHC@CIN | H | 0.5 | -141 | 0.2 | -0.3 | 1/5 | -0.5 | 25 | F | 1.0 | WIN | LOSS | |
| 1314 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIA | H | 0.5 | -150 | 0.2 | -0.3 | 1/5 | +0 | 25 | F | 1.0 | WIN | LOSS | |
| 1315 | MLB | Nathan Church 10 games | STL vs ATL@STL | H | 0.5 | -150 | 0.2 | -0.3 | 1/5 | -0.5 | 25 | F | 0.0 | LOSS | WIN | |
| 1316 | MLB | Victor Robles 10 games | SEA vs SEA@TBR | H | 0.5 | -140 | 0.2 | -0.3 | 1/5 | -0.2 | 25 | F | 0.0 | LOSS | WIN | |
| 1317 | MLB | Nate Eaton 10 games | BOS vs BOS@NYM | H | 0.5 | -127 | 0 | -0.5 | 0/5 | -0.4 | 24 | F | 0.0 | LOSS | WIN | |
| 1318 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | TB | 1.5 | +150 | 0.2 | -1.3 | 0/5 | -1.5 | 23 | F | 1.0 | LOSS | WIN | |
| 1319 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | H | 0.5 | -190 | 0.4 | -0.1 | 1/5 | +0.2 | 23 | F | 1.0 | WIN | LOSS | |
| 1320 | MLB | Cedric Mullins 10 games | TB vs SEA@TBR | H | 0.5 | -155 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 1321 | MLB | Colby Thomas 10 games | ATH vs Athletics@ | TB | 1.5 | +190 | 0 | -1.5 | 0/5 | -1.3 | 23 | F | 0.0 | LOSS | WIN | |
| 1322 | MLB | Colton Cowser 10 games | BAL vs KCR@BAL | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 1323 | MLB | Corbin Carroll 10 games | AZ vs ARI@LAD | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 1324 | MLB | Daulton Varsho 10 games | TOR vs TOR@SDP | H | 0.5 | -180 | 0.4 | -0.1 | 1/5 | +0.3 | 23 | F | 1.0 | WIN | LOSS | |
| 1325 | MLB | Daylen Lile 10 games | WSH vs NYY@WSN | H | 0.5 | -240 | 0.4 | -0.1 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 1326 | MLB | Dylan Crews 10 games | WSH vs NYY@WSN | H | 0.5 | -190 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 0.0 | LOSS | WIN | |
| 1327 | MLB | Dylan Crews 10 games | WSH vs NYY@WSN | TB | 1.5 | +150 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 0.0 | LOSS | WIN | |
| 1328 | MLB | Edmundo Sosa 10 games | PHI vs PHI@DET | TB | 1.5 | +175 | 0.4 | -1.1 | 0/5 | -0.5 | 23 | F | 0.0 | LOSS | WIN | |
| 1329 | MLB | Gavin Sheets 10 games | SD vs TOR@SDP | TB | 1.5 | +180 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 1330 | MLB | Jared Triolo 10 games | PIT vs MIL@PIT | TB | 1.5 | +200 | 0.4 | -1.1 | 0/5 | -1.2 | 23 | F | 4.0 | WIN | LOSS | |
| 1331 | MLB | Jarren Duran 10 games | BOS vs BOS@NYM | H | 0.5 | -165 | 0.4 | -0.1 | 1/5 | -0.4 | 23 | F | 1.0 | WIN | LOSS | |
| 1332 | MLB | JJ Wetherholt 10 games | STL vs ATL@STL | H | 0.5 | -220 | 0.4 | -0.1 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 1333 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | H | 0.5 | -155 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 1.0 | WIN | LOSS | |
| 1334 | MLB | Joey Meneses 8 games | ATH vs Athletics@ | H | 0.5 | -190 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | 1.0 | WIN | LOSS | |
| 1335 | MLB | Ke'Bryan Hayes 6 games | CIN vs CHC@CIN | TB | 1.5 | +190 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 1.0 | LOSS | WIN | |
| 1336 | MLB | Kerry Carpenter 10 games | DET vs PHI@DET | TB | 1.5 | +160 | 0 | -1.5 | 0/5 | -0.7 | 23 | F | 0.0 | LOSS | WIN | |
| 1337 | MLB | Kyle Teel 10 games | CWS vs Athletics@ | H | 0.5 | -159 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 2.0 | WIN | LOSS | |
| 1338 | MLB | Nate Eaton 10 games | BOS vs BOS@NYM | TB | 1.5 | +185 | 0 | -1.5 | 0/5 | -0.9 | 23 | F | 0.0 | LOSS | WIN | |
| 1339 | MLB | Nathan Church 10 games | STL vs ATL@STL | TB | 1.5 | +200 | 0.2 | -1.3 | 0/5 | -1.1 | 23 | F | 0.0 | LOSS | WIN | |
| 1340 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | TB | 1.5 | +105 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 4.0 | WIN | LOSS | |
| 1341 | MLB | Taylor Walls 10 games | TB vs SEA@TBR | TB | 1.5 | +230 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 1342 | MLB | Troy Johnston 10 games | COL vs COL@SFG | H | 0.5 | -180 | 0.2 | -0.3 | 1/5 | -0.4 | 23 | F | 0.0 | LOSS | WIN | |
| 1343 | MLB | William Contreras 10 games | MIL vs MIL@PIT | TB | 1.5 | +145 | 0 | -1.5 | 0/5 | -0.6 | 23 | F | — | PENDING | PENDING | |
| 1344 | MLB | Eliezer Alfonzo 4 games | LAD vs ARI@LAD | H | 0.5 | -136 | 0 | -0.5 | 0/4 | +0 | 22 | F | 0.0 | LOSS | WIN | |
| 1345 | MLB | Gavin Sheets 10 games | SD vs TOR@SDP | H | 0.5 | -140 | 0 | -0.5 | 0/5 | -0.5 | 22 | F | 0.0 | LOSS | WIN | |
| 1346 | MLB | Kerry Carpenter 10 games | DET vs PHI@DET | H | 0.5 | -140 | 0 | -0.5 | 0/5 | -0.4 | 22 | F | 0.0 | LOSS | WIN | |
| 1347 | MLB | Colby Thomas 10 games | ATH vs Athletics@ | H | 0.5 | -127 | 0 | -0.5 | 0/5 | -0.6 | 21 | F | 0.0 | LOSS | WIN | |
| 1348 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | H | 0.5 | -200 | 0.2 | -0.3 | 1/5 | -0.6 | 20 | F | 1.0 | WIN | LOSS | |
| 1349 | MLB | Alex Call 10 games | LAD vs ARI@LAD | H | 0.5 | -178 | 0 | -0.5 | 0/5 | -0.5 | 20 | F | — | PENDING | PENDING | |
| 1350 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | H | 0.5 | -216 | 0.4 | -0.1 | 1/5 | -1 | 20 | 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.