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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801 | MLB | Nick Gonzales 10 games | PIT vs PIT@Athlet | H | 1.5 | +175 | 1 | -0.5 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Nick Gonzales 10 games | PIT vs PIT@Athlet | TB | 1.5 | +110 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | Nick Loftin 10 games | KC vs KCR@WSN | H | 1.5 | +380 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 2.0 | WIN | LOSS | |
| 804 | MLB | Nick Loftin 10 games | KC vs KCR@WSN | RBI | 0.5 | +280 | 0.4 | -0.1 | 2/5 | -0.5 | 37 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Otto Lopez 10 games | MIA vs MIA@PHI | H | 1.5 | +195 | 1.2 | -0.3 | 2/5 | -0.5 | 37 | F | 1.0 | LOSS | WIN | |
| 806 | MLB | Ozzie Albies 10 games | ATL vs SFG@ATL | H | 1.5 | +230 | 1.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Ozzie Albies 10 games | ATL vs SFG@ATL | R | 1.5 | +700 | 0.8 | -0.7 | 2/5 | +-0 | 37 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Pete Crow-Armstrong 10 games | CHC vs COL@CHC | HR | 0.5 | +325 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 1.0 | WIN | LOSS | |
| 809 | MLB | Pete Crow-Armstrong 10 games | CHC vs COL@CHC | R | 1.5 | +340 | 1 | -0.5 | 2/5 | +0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 810 | MLB | Royce Lewis 10 games | MIN vs MIN@TEX | HR | 0.5 | +575 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | H | 1.5 | +340 | 1.2 | -0.3 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Ryan Vilade 10 games | TB vs TBR@LAD | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Ryan Ward 10 games | LAD vs TBR@LAD | TB | 1.5 | +200 | 0.8 | -0.7 | 2/5 | -0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 814 | MLB | Samad Taylor 8 games | SD vs SDP@STL | R | 0.5 | +170 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 1.0 | WIN | LOSS | |
| 815 | MLB | Samuel Basallo 10 games | BAL vs BAL@SEA | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Sandy León 10 games | ATL vs SFG@ATL | H | 0.5 | +115 | 0.4 | -0.1 | 2/5 | +0.5 | 37 | F | — | PENDING | PENDING | |
| 817 | MLB | Shohei Ohtani 10 games | LAD vs TBR@LAD | H | 0.5 | -228 | 0.8 | +0.3 | 3/5 | -0.9 | 37 | F | 1.0 | WIN | LOSS | |
| 818 | MLB | Shohei Ohtani 10 games | LAD vs TBR@LAD | R | 1.5 | +400 | 1 | -0.5 | 2/5 | -0.3 | 37 | F | 1.0 | LOSS | WIN | |
| 819 | MLB | Spencer Horwitz 10 games | PIT vs PIT@Athlet | RBI | 0.5 | +176 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Spencer Jones 10 games | NYY vs CHW@NYY | R | 0.5 | +210 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 2.0 | WIN | LOSS | |
| 821 | MLB | Starling Marte 10 games | KC vs KCR@WSN | R | 0.5 | +155 | 0.4 | -0.1 | 2/5 | +0 | 37 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Starling Marte 10 games | KC vs KCR@WSN | RBI | 0.5 | +232 | 0.6 | +0.1 | 1/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Steven Kwan 10 games | CLE vs CLE@MIL | H | 1.5 | +320 | 0.8 | -0.7 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Steven Kwan 10 games | CLE vs CLE@MIL | TB | 1.5 | +190 | 0.8 | -0.7 | 2/5 | -0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Stuart Fairchild 7 games | CLE vs CLE@MIL | H | 0.5 | -130 | 0.6 | +0.1 | 2/5 | +0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Taylor Walls 10 games | TB vs TBR@LAD | R | 0.5 | +180 | 0.4 | -0.1 | 2/5 | -0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Taylor Walls 10 games | TB vs TBR@LAD | RBI | 0.5 | +310 | 0.4 | -0.1 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Travis Bazzana 10 games | CLE vs CLE@MIL | R | 0.5 | +165 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Tristan Peters 10 games | CWS vs CHW@NYY | R | 0.5 | +210 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | WIN | LOSS | |
| 830 | MLB | Tristan Peters 10 games | CWS vs CHW@NYY | TB | 1.5 | +225 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 831 | MLB | Troy Johnston 10 games | COL vs COL@CHC | R | 0.5 | +145 | 0.6 | +0.1 | 1/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 832 | MLB | Tyler Callihan 9 games | PIT vs PIT@Athlet | R | 0.5 | +130 | 0.4 | -0.1 | 2/5 | -0.2 | 37 | F | 0.0 | LOSS | WIN | |
| 833 | MLB | Tyler Freeman 10 games | COL vs COL@CHC | R | 1.5 | +1000 | 1 | -0.5 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | Tyler Freeman 10 games | COL vs COL@CHC | RBI | 1.5 | +800 | 1 | -0.5 | 2/5 | +0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Tyler Stephenson 10 games | CIN vs NYM@CIN | H | 1.5 | +400 | 1 | -0.5 | 2/5 | -0.2 | 37 | F | 1.0 | LOSS | WIN | |
| 836 | MLB | Victor Caratini 10 games | MIN vs MIN@TEX | TB | 1.5 | +200 | 1.4 | -0.1 | 2/5 | +0.1 | 37 | F | — | PENDING | PENDING | |
| 837 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@BOS | RBI | 0.5 | +170 | 0.4 | -0.1 | 2/5 | +0.4 | 37 | F | 0.0 | LOSS | WIN | |
| 838 | MLB | William Contreras 10 games | MIL vs CLE@MIL | R | 0.5 | +120 | 0.4 | -0.1 | 2/5 | -0.1 | 37 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | H | 1.5 | +240 | 1.2 | -0.3 | 2/5 | +0.4 | 37 | F | 1.0 | LOSS | WIN | |
| 840 | MLB | Xander Bogaerts 10 games | SD vs SDP@STL | R | 1.5 | +1000 | 0.8 | -0.7 | 2/5 | +0.3 | 37 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Zack Gelof 10 games | ATH vs PIT@Athlet | H | 1.5 | +280 | 1.4 | -0.1 | 2/5 | +0.4 | 37 | F | 3.0 | WIN | LOSS | |
| 842 | MLB | Corbin Carroll 10 games | AZ vs LAA@ARI | R | 0.5 | -105 | 0.4 | -0.1 | 2/5 | +0.2 | 36 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | David Hamilton 10 games | MIL vs CLE@MIL | H | 0.5 | -110 | 0.4 | -0.1 | 2/5 | -0.4 | 36 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Eli White 10 games | ATL vs SFG@ATL | H | 0.5 | -166 | 0.8 | +0.3 | 2/5 | +0.9 | 36 | F | 0.0 | LOSS | WIN | |
| 845 | MLB | J.T. Realmuto 10 games | PHI vs MIA@PHI | H | 0.5 | -160 | 0.8 | +0.3 | 2/5 | +0.7 | 36 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Josh Smith 10 games | TEX vs MIN@TEX | H | 0.5 | -160 | 0.8 | +0.3 | 2/5 | +0.6 | 36 | F | 1.0 | WIN | LOSS | |
| 847 | MLB | Spencer Jones 10 games | NYY vs CHW@NYY | H | 0.5 | -120 | 0.6 | +0.1 | 2/5 | -0.7 | 36 | F | 1.0 | WIN | LOSS | |
| 848 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@WSN | TB | 2.5 | +160 | 1.8 | -0.7 | 1/5 | +0.8 | 35 | F | 3.0 | WIN | LOSS | |
| 849 | MLB | Brandon Young 9 games | BAL vs BAL@SEA | K | 5.5 | +175 | 4.6 | -0.9 | 1/5 | +0.9 | 35 | F | 2.0 | LOSS | WIN | |
| 850 | MLB | Brayan Rocchio 10 games | CLE vs CLE@MIL | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | -0.2 | 35 | 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.