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 | Richie Palacios 10 games | TB vs TBR@TOR | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | +-0 | 30 | F | 0.0 | LOSS | WIN | |
| 1252 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | H | 0.5 | -180 | 0.8 | +0.3 | 2/5 | -0.5 | 30 | F | 0.0 | LOSS | WIN | |
| 1253 | MLB | Trent Grisham 10 games | NYY vs PIT@NYY | R | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.5 | 30 | F | 0.0 | LOSS | WIN | |
| 1254 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | H | 0.5 | -260 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 1.0 | WIN | LOSS | |
| 1255 | MLB | A.J. Ewing 10 games | NYM vs NYM@MIL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1256 | MLB | A.J. Ewing 10 games | NYM vs NYM@MIL | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1257 | MLB | Alec Bohm 10 games | PHI vs LAD@PHI | RBI | 1.5 | +500 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 3.0 | WIN | LOSS | |
| 1258 | MLB | Alec Burleson 10 games | STL vs STL@LAA | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1259 | MLB | Alec Burleson 10 games | STL vs STL@LAA | RBI | 1.5 | +475 | 0.4 | -1.1 | 1/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1260 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1261 | MLB | Alejandro Kirk 10 games | TOR vs TBR@TOR | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1262 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TEX | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1263 | MLB | Andrew Vaughn 10 games | MIL vs NYM@MIL | RBI | 1.5 | +700 | 0.4 | -1.1 | 1/5 | +0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1264 | MLB | Andy Pages 10 games | LAD vs LAD@PHI | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1265 | MLB | Anthony Kay 10 games | CWS vs CHW@TEX | K | 4.5 | -135 | 4.2 | -0.3 | 2/5 | -0.5 | 29 | F | 4.0 | LOSS | WIN | |
| 1266 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1267 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | R | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1268 | MLB | Anthony Seigler 10 games | BOS vs BAL@BOS | TB | 1.5 | +135 | 0.4 | -1.1 | 1/5 | -0.2 | 29 | F | 1.0 | LOSS | WIN | |
| 1269 | MLB | Austin Wells 10 games | NYY vs PIT@NYY | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1270 | MLB | Austin Wells 10 games | NYY vs PIT@NYY | R | 0.5 | +135 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1271 | MLB | Austin Wells 10 games | NYY vs PIT@NYY | TB | 1.5 | +175 | 0.6 | -0.9 | 1/5 | -0.5 | 29 | F | 1.0 | LOSS | WIN | |
| 1272 | MLB | Ben Rice 10 games | NYY vs PIT@NYY | HR | 0.5 | +240 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1273 | MLB | Ben Rice 10 games | NYY vs PIT@NYY | RBI | 1.5 | +380 | 0.6 | -0.9 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1274 | MLB | Blaze Jordan 10 games | STL vs STL@LAA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1275 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1276 | MLB | Bo Bichette 10 games | NYM vs NYM@MIL | RBI | 0.5 | +262 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1277 | MLB | Braden Montgomery 10 games | CWS vs CHW@TEX | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1278 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | H | 1.5 | +240 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1279 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1280 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | R | 1.5 | +550 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 1281 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | TB | 1.5 | +123 | 0.8 | -0.7 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1282 | MLB | Brice Turang 10 games | MIL vs NYM@MIL | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1283 | MLB | Brice Turang 10 games | MIL vs NYM@MIL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1284 | MLB | Brooks Lee 10 games | MIN vs MIN@CLE | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1285 | MLB | Bryan Reynolds 10 games | PIT vs PIT@NYY | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1286 | MLB | Bryan Reynolds 10 games | PIT vs PIT@NYY | R | 1.5 | +800 | 0.6 | -0.9 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1287 | MLB | Bryce Harper 10 games | PHI vs LAD@PHI | H | 1.5 | +280 | 0.8 | -0.7 | 0/5 | +-0 | 29 | F | 0.0 | LOSS | WIN | |
| 1288 | MLB | Bryson Stott 10 games | PHI vs LAD@PHI | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1289 | MLB | Bryson Stott 10 games | PHI vs LAD@PHI | RBI | 0.5 | +225 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1290 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1291 | MLB | Byron Buxton 10 games | MIN vs MIN@CLE | RBI | 1.5 | +475 | 0.4 | -1.1 | 1/5 | -0.5 | 29 | F | — | PENDING | PENDING | |
| 1292 | MLB | Cal Quantrill 10 games | TEX vs CHW@TEX | K | 3.5 | +115 | 2.4 | -1.1 | 1/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1293 | MLB | Cam Smith 10 games | HOU vs MIA@HOU | TB | 1.5 | +165 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | — | PENDING | PENDING | |
| 1294 | MLB | Cameron Cauley 10 games | TEX vs CHW@TEX | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1295 | MLB | Cameron Cauley 10 games | TEX vs CHW@TEX | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1296 | MLB | Carlos Cortes 10 games | ATH vs Athletics@ | R | 1.5 | +800 | 0.4 | -1.1 | 1/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1297 | MLB | Carlos Cortes 10 games | ATH vs Athletics@ | RBI | 1.5 | +500 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1298 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1299 | MLB | Carson Benge 10 games | NYM vs NYM@MIL | R | 0.5 | +170 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1300 | MLB | Carson Kelly 10 games | CHC vs DET@CHC | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.2 | 29 | 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.