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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551 | MLB | Cody Bellinger 10 games | AL vs LAD@NYY | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 552 | MLB | Colby Thomas 10 games | OAK vs WSN@ATHLET | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 553 | MLB | Colby Thomas 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 554 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 555 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | RBI | 0.5 | +159 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 556 | MLB | Colson Montgomery 10 games | CWS vs CHW@TOR | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 557 | MLB | Colson Montgomery 10 games | CWS vs CHW@TOR | RBI | 0.5 | +163 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 3.0 | WIN | LOSS | |
| 558 | MLB | Colt Emerson 10 games | SEA vs SFG@SEA | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 559 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 560 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | RBI | 0.5 | +261 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 561 | MLB | Cooper Pratt 10 games | MIL vs MIA@MIL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 562 | MLB | Corbin Carroll 10 games | NL vs STL@ARI | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 563 | MLB | Corbin Carroll 10 games | NL vs STL@ARI | RBI | 0.5 | +143 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 564 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYY | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 565 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 566 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | RBI | 0.5 | +320 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 567 | MLB | Dansby Swanson 10 games | CHC vs MIN@CHC | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 568 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 569 | MLB | Daylen Lile 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 570 | MLB | Dillon Dingler 10 games | AL vs DET@LAA | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 571 | MLB | Dillon Dingler 10 games | AL vs DET@LAA | RBI | 0.5 | +176 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 572 | MLB | Dominic Smith 10 games | ATL vs TEX@ATL | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 573 | MLB | Dominic Smith 10 games | ATL vs TEX@ATL | RBI | 0.5 | +229 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 574 | MLB | Drake Baldwin 10 games | NL vs TEX@ATL | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 575 | MLB | Drew Cavanaugh 10 games | SF vs SFG@SEA | RBI | 0.5 | +390 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 576 | MLB | Drew Gilbert 10 games | SF vs SFG@SEA | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 577 | MLB | Dylan Beavers 10 games | BAL vs BAL@HOU | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 578 | MLB | Dylan Beavers 10 games | BAL vs BAL@HOU | RBI | 0.5 | +252 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 579 | MLB | Dylan Crews 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 580 | MLB | Dylan Crews 10 games | WSH vs WSN@ATHLET | RBI | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 581 | MLB | Edwin Arroyo 10 games | CIN vs CIN@COL | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 582 | MLB | Edwin Arroyo 10 games | CIN vs CIN@COL | RBI | 0.5 | +174 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 583 | MLB | Elias Diaz 10 games | TEX vs TEX@ATL | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 584 | MLB | Elias Diaz 10 games | TEX vs TEX@ATL | RBI | 0.5 | +285 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 585 | MLB | Evan Carter 10 games | TEX vs TEX@ATL | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 586 | MLB | Evan Carter 10 games | TEX vs TEX@ATL | RBI | 0.5 | +383 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 587 | MLB | Ezequiel Tovar 10 games | COL vs CIN@COL | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 588 | MLB | Ezequiel Tovar 10 games | COL vs CIN@COL | RBI | 0.5 | +169 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 589 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@KCR | H | 1.5 | +145 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | 3.0 | WIN | LOSS | |
| 590 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@KCR | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 591 | MLB | Freddie Freeman 10 games | NL vs LAD@NYY | HR | 0.5 | +360 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 592 | MLB | Freddie Freeman 10 games | NL vs LAD@NYY | RBI | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 593 | MLB | Gabriel Moreno 10 games | AZ vs STL@ARI | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 594 | MLB | Garrett Mitchell 10 games | MIL vs MIA@MIL | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 595 | MLB | Geraldo Perdomo 10 games | AZ vs STL@ARI | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 596 | MLB | Hao-Yu Lee 10 games | DET vs DET@LAA | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 597 | MLB | Hao-Yu Lee 10 games | DET vs DET@LAA | RBI | 0.5 | +244 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 2.0 | WIN | LOSS | |
| 598 | MLB | Heliot Ramos 10 games | SF vs SFG@SEA | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 599 | MLB | Heliot Ramos 10 games | SF vs SFG@SEA | RBI | 0.5 | +261 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 600 | MLB | Henry Bolte 10 games | OAK vs WSN@ATHLET | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 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.