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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 951 | MLB | Taylor Trammell 10 games | HOU vs DET@HOU | RBI | 0.5 | +250 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 952 | MLB | Taylor Walls 10 games | TB vs TBR@LAD | H | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 953 | MLB | Taylor Walls 10 games | TB vs TBR@LAD | RBI | 0.5 | +300 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 954 | MLB | Taylor Walls 10 games | TB vs TBR@LAD | TB | 1.5 | +240 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 955 | MLB | Tommy Troy 10 games | AZ vs LAA@ARI | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 956 | MLB | Tommy Troy 10 games | AZ vs LAA@ARI | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 957 | MLB | Tommy Troy 10 games | AZ vs LAA@ARI | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Tommy Troy 10 games | AZ vs LAA@ARI | RBI | 0.5 | +244 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 959 | MLB | Tristan Gray 10 games | MIN vs MIN@TEX | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 960 | MLB | Tyler Callihan 9 games | PIT vs PIT@Athlet | HR | 0.5 | +525 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Tyler Callihan 9 games | PIT vs PIT@Athlet | R | 1.5 | +700 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Tyler Freeman 10 games | COL vs COL@CHC | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 963 | MLB | Tyler Soderstrom 10 games | ATH vs PIT@Athlet | H | 1.5 | +220 | 1 | -0.5 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 964 | MLB | Tyler Soderstrom 10 games | ATH vs PIT@Athlet | R | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 965 | MLB | Tyler Stephenson 10 games | CIN vs NYM@CIN | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 966 | MLB | Tyler Stephenson 10 games | CIN vs NYM@CIN | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 967 | MLB | Wade Meckler 10 games | LAA vs LAA@ARI | RBI | 0.5 | +234 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 968 | MLB | Will Wagner 5 games | SD vs SDP@STL | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 969 | MLB | Will Wagner 5 games | SD vs SDP@STL | R | 0.5 | +190 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 970 | MLB | Willi Castro 10 games | COL vs COL@CHC | HR | 0.5 | +550 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 971 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 973 | MLB | Wyatt Langford 10 games | TEX vs MIN@TEX | RBI | 1.5 | +500 | 0.6 | -0.9 | 0/5 | +0.6 | 32 | F | 0.0 | LOSS | WIN | |
| 974 | MLB | Xander Bogaerts 10 games | SD vs SDP@STL | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 975 | MLB | Xander Bogaerts 10 games | SD vs SDP@STL | TB | 1.5 | +150 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 976 | MLB | Xavier Edwards 10 games | MIA vs MIA@PHI | R | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 977 | MLB | Yandy Diaz 10 games | TB vs TBR@LAD | RBI | 0.5 | +166 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 978 | MLB | Yordan Alvarez 10 games | HOU vs DET@HOU | HR | 0.5 | +275 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 979 | MLB | Yordan Alvarez 10 games | HOU vs DET@HOU | R | 1.5 | +400 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 980 | MLB | Zach McKinstry 10 games | DET vs DET@HOU | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 981 | MLB | Zach McKinstry 10 games | DET vs DET@HOU | RBI | 0.5 | +306 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Zach Neto 10 games | LAA vs LAA@ARI | R | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 983 | MLB | Zack Gelof 10 games | ATH vs PIT@Athlet | R | 1.5 | +800 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 984 | MLB | Zack Gelof 10 games | ATH vs PIT@Athlet | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 985 | MLB | Alex Freeland 10 games | LAD vs TBR@LAD | H | 0.5 | -105 | 0.2 | -0.3 | 1/5 | -0.3 | 31 | F | 0.0 | LOSS | WIN | |
| 986 | MLB | Lane Thomas 10 games | KC vs KCR@WSN | R | 0.5 | -105 | 0.4 | -0.1 | 1/5 | +0.3 | 31 | F | 0.0 | LOSS | WIN | |
| 987 | MLB | Alec Bohm 10 games | PHI vs MIA@PHI | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | — | PENDING | PENDING | |
| 988 | MLB | Bryce Harper 10 games | PHI vs MIA@PHI | H | 0.5 | -240 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 0.0 | LOSS | WIN | |
| 989 | MLB | Dansby Swanson 10 games | CHC vs COL@CHC | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | +0.2 | 30 | F | 0.0 | LOSS | WIN | |
| 990 | MLB | MacKenzie Gore 9 games | TEX vs MIN@TEX | K | 5.5 | -140 | 4.6 | -0.9 | 2/5 | +0.1 | 30 | F | 10.0 | WIN | LOSS | |
| 991 | MLB | Nick Martinez 10 games | TB vs TBR@LAD | K | 2.5 | -300 | 2.6 | +0.1 | 2/5 | -0.6 | 30 | F | 6.0 | WIN | LOSS | |
| 992 | MLB | Orlando Arcia 10 games | MIN vs MIN@TEX | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | — | PENDING | PENDING | |
| 993 | MLB | A.J. Ewing 10 games | NYM vs NYM@CIN | RBI | 1.5 | +800 | 0.4 | -1.1 | 1/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 994 | MLB | Adrian Del Castillo 10 games | AZ vs LAA@ARI | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 995 | MLB | Adrian Del Castillo 10 games | AZ vs LAA@ARI | RBI | 0.5 | +195 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING | |
| 996 | MLB | Alec Bohm 10 games | PHI vs MIA@PHI | H | 1.5 | +230 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | — | PENDING | PENDING | |
| 997 | MLB | Alec Bohm 10 games | PHI vs MIA@PHI | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -1 | 29 | F | — | PENDING | PENDING | |
| 998 | MLB | Alec Burleson 10 games | STL vs SDP@STL | H | 1.5 | +220 | 1 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 999 | MLB | Alex Bregman 10 games | CHC vs COL@CHC | RBI | 1.5 | +475 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1000 | MLB | Alex Freeland 10 games | LAD vs TBR@LAD | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 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.