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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 751 | MLB | Jonah Heim 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.9 | 26 | F | — | PENDING | PENDING | |
| 752 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | RBI | 0.5 | +144 | 0 | -0.5 | 0/5 | -0.6 | 26 | F | 0.0 | LOSS | WIN | |
| 753 | MLB | Ketel Marte 10 games | AZ vs STL@ARI | H | 1.5 | +192 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 754 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | H | 1.5 | +185 | 0.6 | -0.9 | 0/5 | -1.2 | 26 | F | 2.0 | WIN | LOSS | |
| 755 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | RBI | 0.5 | +126 | 0 | -0.5 | 0/5 | -0.9 | 26 | F | 3.0 | WIN | LOSS | |
| 756 | MLB | Riley Greene 10 games | AL vs DET@LAA | RBI | 0.5 | +178 | 0 | -0.5 | 0/5 | -0.7 | 26 | F | 0.0 | LOSS | WIN | |
| 757 | MLB | Tyler Soderstrom 10 games | OAK vs WSN@ATHLET | H | 1.5 | +197 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 758 | MLB | Adley Rutschman 10 games | AL vs BAL@HOU | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 759 | MLB | Cedric Mullins 10 games | TB vs TBR@BOS | H | 0.5 | -140 | 0.2 | -0.3 | 1/5 | -0.1 | 25 | F | 1.0 | WIN | LOSS | |
| 760 | MLB | Dillon Dingler 10 games | AL vs DET@LAA | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 1.0 | WIN | LOSS | |
| 761 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | H | 0.5 | -235 | 0.6 | +0.1 | 1/5 | -1 | 25 | F | 0.0 | LOSS | WIN | |
| 762 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | H | 0.5 | -149 | 0.4 | -0.1 | 1/5 | +0.1 | 25 | F | 1.0 | WIN | LOSS | |
| 763 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | H | 0.5 | -162 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 764 | MLB | Luis Urias 10 games | TOR vs CHW@TOR | H | 0.5 | -144 | 0.2 | -0.3 | 1/5 | -0.1 | 25 | F | 1.0 | WIN | LOSS | |
| 765 | MLB | Mauricio Dubon 10 games | ATL vs TEX@ATL | H | 0.5 | -200 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 2.0 | WIN | LOSS | |
| 766 | MLB | Myles Straw 9 games | TOR vs CHW@TOR | H | 0.5 | -139 | 0.4 | -0.1 | 1/5 | +0.4 | 25 | F | 0.0 | LOSS | WIN | |
| 767 | MLB | Otto Lopez 10 games | NL vs MIA@MIL | H | 0.5 | -236 | 0.4 | -0.1 | 2/5 | -1 | 25 | F | 2.0 | WIN | LOSS | |
| 768 | MLB | Riley Greene 10 games | AL vs DET@LAA | H | 0.5 | -165 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 1.0 | WIN | LOSS | |
| 769 | MLB | Romy Gonzalez 10 games | BOS vs TBR@BOS | H | 0.5 | -231 | 0.4 | -0.1 | 2/5 | -0.9 | 25 | F | 0.0 | LOSS | WIN | |
| 770 | MLB | Taylor Walls 10 games | TB vs TBR@BOS | H | 0.5 | -135 | 0.2 | -0.3 | 1/5 | -0.6 | 24 | F | 1.0 | WIN | LOSS | |
| 771 | MLB | Andrés Chaparro 10 games | WSH vs WSN@ATHLET | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | +0 | 23 | F | 4.0 | WIN | LOSS | |
| 772 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | H | 0.5 | -194 | 0.4 | -0.1 | 1/5 | +0.1 | 23 | F | 1.0 | WIN | LOSS | |
| 773 | MLB | Bryan Torres 9 games | STL vs STL@ARI | H | 0.5 | -180 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 774 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 0.0 | LOSS | WIN | |
| 775 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | H | 0.5 | -200 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 3.0 | WIN | LOSS | |
| 776 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | H | 1.5 | +195 | 0 | -1.5 | 0/5 | -0.9 | 23 | F | 1.0 | LOSS | WIN | |
| 777 | MLB | Corbin Carroll 10 games | NL vs STL@ARI | H | 0.5 | -240 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 1.0 | WIN | LOSS | |
| 778 | MLB | Dominic Smith 10 games | ATL vs TEX@ATL | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 1.0 | WIN | LOSS | |
| 779 | MLB | Dylan Crews 10 games | WSH vs WSN@ATHLET | H | 0.5 | -217 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 1.0 | WIN | LOSS | |
| 780 | MLB | Edouard Julien 10 games | COL vs CIN@COL | H | 0.5 | -171 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | — | PENDING | PENDING | |
| 781 | MLB | Ezequiel Tovar 10 games | COL vs CIN@COL | H | 0.5 | -220 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 0.0 | LOSS | WIN | |
| 782 | MLB | Jarren Duran 10 games | BOS vs TBR@BOS | H | 0.5 | -175 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 0.0 | LOSS | WIN | |
| 783 | MLB | Jase Bowen 10 games | SD vs SDP@KCR | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 784 | MLB | Ke'Bryan Hayes 5 games | CIN vs CIN@COL | H | 0.5 | -189 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 785 | MLB | Max Muncy 10 games | NL vs LAD@NYY | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.3 | 23 | F | 1.0 | WIN | LOSS | |
| 786 | MLB | Mickey Gasper 10 games | BOS vs TBR@BOS | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | — | PENDING | PENDING | |
| 787 | MLB | Nico Hoerner 10 games | CHC vs MIN@CHC | H | 0.5 | -232 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 2.0 | WIN | LOSS | |
| 788 | MLB | Colby Thomas 10 games | OAK vs WSN@ATHLET | H | 0.5 | -200 | 0 | -0.5 | 0/5 | -0.5 | 20 | F | 0.0 | LOSS | WIN | |
| 789 | MLB | Daylen Lile 10 games | WSH vs WSN@ATHLET | H | 0.5 | -225 | 0.4 | -0.1 | 1/5 | -0.8 | 20 | F | 2.0 | WIN | LOSS | |
| 790 | MLB | Gavin Sheets 10 games | SD vs SDP@KCR | H | 0.5 | -210 | 0 | -0.5 | 0/5 | -0.4 | 20 | F | 0.0 | LOSS | WIN | |
| 791 | MLB | Henry Bolte 10 games | OAK vs WSN@ATHLET | H | 0.5 | -190 | 0 | -0.5 | 0/5 | -0.5 | 20 | F | 1.0 | WIN | LOSS | |
| 792 | MLB | Munetaka Murakami 10 games | AL vs CHW@TOR | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.6 | 20 | F | 1.0 | WIN | LOSS | |
| 793 | MLB | Nathan Church 10 games | STL vs STL@ARI | H | 0.5 | -165 | 0 | -0.5 | 0/5 | -0.4 | 20 | F | 0.0 | LOSS | WIN | |
| 794 | MLB | Teoscar Hernandez 10 games | LAD vs LAD@NYY | H | 0.5 | -165 | 0 | -0.5 | 0/5 | -0.2 | 20 | F | 1.0 | WIN | LOSS | |
| 795 | MLB | Troy Johnston 10 games | COL vs CIN@COL | H | 0.5 | -220 | 0 | -0.5 | 0/5 | -0.4 | 20 | F | 1.0 | WIN | LOSS | |
| 796 | MLB | William Contreras 10 games | NL vs MIA@MIL | H | 0.5 | -250 | 0 | -0.5 | 0/5 | -0.5 | 20 | F | 0.0 | LOSS | WIN | |
| 797 | MLB | Alika Williams 10 games | OAK vs WSN@ATHLET | H | 0.5 | -165 | 0 | -0.5 | 0/5 | -0.6 | 17 | F | 0.0 | LOSS | WIN | |
| 798 | MLB | Cole Carrigg 10 games | COL vs CIN@COL | H | 0.5 | -260 | 0 | -0.5 | 0/5 | -0.9 | 17 | F | 1.0 | WIN | LOSS | |
| 799 | MLB | Adley Rutschman | AL vs BAL@HOU | R | 0.5 | +125 | — | — | — | — | 0 | F | — | PENDING | PENDING | |
| 800 | MLB | Adley Rutschman | AL vs BAL@HOU | TB | 1.5 | +130 | — | — | — | — | 0 | F | — | PENDING | PENDING |
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.