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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1251 | MLB | Zach McKinstry 10 games | DET vs BAL@DET | R | 0.5 | +160 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1252 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1253 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | RBI | 0.5 | +231 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1254 | MLB | Brandon Lowe 10 games | PIT vs ARI@PIT | H | 0.5 | -225 | 0.6 | +0.1 | 1/5 | +0 | 28 | F | 3.0 | WIN | LOSS | |
| 1255 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | H | 0.5 | -239 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1256 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | H | 0.5 | -235 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1257 | MLB | Bryce Eldridge 10 games | SF vs MIL@SFG | H | 0.5 | -155 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 1258 | MLB | Bryce Harper 10 games | PHI vs PHI@MIA | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1259 | MLB | Connor Wong 10 games | BOS vs BOS@Athlet | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1260 | MLB | Gleyber Torres 10 games | DET vs BAL@DET | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 1261 | MLB | Heliot Ramos 10 games | SF vs MIL@SFG | H | 0.5 | -210 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 0.0 | LOSS | WIN | |
| 1262 | MLB | Jacob Gonzalez 10 games | PIT vs ARI@PIT | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.2 | 28 | F | 1.0 | WIN | LOSS | |
| 1263 | MLB | Justin Crawford 10 games | PHI vs PHI@MIA | H | 0.5 | -175 | 0.4 | -0.1 | 2/5 | -0.4 | 28 | F | 1.0 | WIN | LOSS | |
| 1264 | MLB | Luis Robert Jr. 6 games | NYM vs ATL@NYM | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | +0 | 28 | F | 1.0 | WIN | LOSS | |
| 1265 | MLB | Masataka Yoshida 10 games | BOS vs BOS@Athlet | H | 0.5 | -320 | 0.4 | -0.1 | 2/5 | -0.5 | 28 | F | 1.0 | WIN | LOSS | |
| 1266 | MLB | Noah Schultz 4 games | CWS vs NYY@CHW | K | 4.5 | -106 | 4 | -0.5 | 1/4 | -1 | 28 | F | 5.0 | WIN | LOSS | |
| 1267 | MLB | Randal Grichuk 10 games | CWS vs NYY@CHW | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 1.0 | WIN | LOSS | |
| 1268 | MLB | Sam Huff 10 games | BAL vs BAL@DET | H | 0.5 | -107 | 0 | -0.5 | 0/5 | -0.2 | 28 | F | — | PENDING | PENDING | |
| 1269 | MLB | Slade Cecconi 9 games | CLE vs CLE@CIN | K | 4.5 | -102 | 3.4 | -1.1 | 1/5 | +0.1 | 28 | F | — | PENDING | PENDING | |
| 1270 | MLB | Cam Smith 10 games | HOU vs HOU@LAA | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | +0.1 | 27 | F | — | PENDING | PENDING | |
| 1271 | MLB | Colby Thomas 10 games | ATH vs BOS@Athlet | H | 0.5 | -126 | 0.2 | -0.3 | 1/5 | +0.2 | 27 | F | 2.0 | WIN | LOSS | |
| 1272 | MLB | Daniel Susac 10 games | SF vs MIL@SFG | H | 0.5 | -130 | 0.4 | -0.1 | 1/5 | -0.3 | 27 | F | — | PENDING | PENDING | |
| 1273 | MLB | Eli White 10 games | ATL vs ATL@NYM | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.1 | 27 | F | — | PENDING | PENDING | |
| 1274 | MLB | Jordan Walker 10 games | STL vs CHC@STL | R | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.3 | 27 | F | 1.0 | WIN | LOSS | |
| 1275 | MLB | Jorge Polanco 10 games | NYM vs ATL@NYM | H | 0.5 | -130 | 0.2 | -0.3 | 1/5 | -0.3 | 27 | F | — | PENDING | PENDING | |
| 1276 | MLB | Josh Lowe 10 games | LAA vs HOU@LAA | H | 0.5 | -135 | 0.4 | -0.1 | 1/5 | +0.2 | 27 | F | 0.0 | LOSS | WIN | |
| 1277 | MLB | Tyler Mahle 5 games | SF vs MIL@SFG | K | 4.5 | -130 | 4 | -0.5 | 1/5 | +0.3 | 27 | F | 3.0 | LOSS | WIN | |
| 1278 | MLB | Alex Bregman 10 games | CHC vs CHC@STL | TB | 1.5 | +122 | 0.6 | -0.9 | 1/5 | -1.9 | 26 | F | 9.0 | WIN | LOSS | |
| 1279 | MLB | Alika Williams 10 games | ATH vs BOS@Athlet | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1280 | MLB | Alika Williams 10 games | ATH vs BOS@Athlet | RBI | 1.5 | +900 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1281 | MLB | Amed Rosario 10 games | NYY vs NYY@CHW | TB | 1.5 | +130 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 2.0 | WIN | LOSS | |
| 1282 | MLB | Andruw Monasterio 10 games | BOS vs BOS@Athlet | RBI | 1.5 | +500 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1283 | MLB | Austin Riley 10 games | ATL vs ATL@NYM | R | 1.5 | +900 | 0 | -1.5 | 0/5 | -0.5 | 26 | F | 0.0 | LOSS | WIN | |
| 1284 | MLB | Bo Bichette 10 games | NYM vs ATL@NYM | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1285 | MLB | Bo Bichette 10 games | NYM vs ATL@NYM | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1286 | MLB | Brandon Lowe 10 games | PIT vs ARI@PIT | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 2.0 | WIN | LOSS | |
| 1287 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | H | 1.5 | +230 | 0.4 | -1.1 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1288 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1289 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | RBI | 1.5 | +500 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1290 | MLB | Brandon Marsh 10 games | PHI vs PHI@MIA | TB | 1.5 | +133 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1291 | MLB | Brandon Nimmo 10 games | TEX vs SEA@TEX | RBI | 1.5 | +600 | 0.4 | -1.1 | 1/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 1292 | MLB | Brayan Rocchio 10 games | CLE vs CLE@CIN | R | 1.5 | +1300 | 0.2 | -1.3 | 0/5 | -0.5 | 26 | F | — | PENDING | PENDING | |
| 1293 | MLB | Brayan Rocchio 10 games | CLE vs CLE@CIN | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | — | PENDING | PENDING | |
| 1294 | MLB | Brice Turang 10 games | MIL vs MIL@SFG | R | 1.5 | +800 | 0.4 | -1.1 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1295 | MLB | Brice Turang 10 games | MIL vs MIL@SFG | RBI | 1.5 | +600 | 0.2 | -1.3 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1296 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | H | 1.5 | +240 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1297 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1298 | MLB | Bryan Reynolds 10 games | PIT vs ARI@PIT | RBI | 1.5 | +550 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1299 | MLB | Bryce Eldridge 10 games | SF vs MIL@SFG | H | 1.5 | +360 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1300 | MLB | Bryce Eldridge 10 games | SF vs MIL@SFG | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.3 | 26 | 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.