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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 201 | MLB | Christian Walker 10 games | HOU vs PIT@HOU | R | 0.5 | +115 | 0.8 | +0.3 | 3/5 | -0.6 | 46 | F | 0.0 | LOSS | WIN | |
| 202 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | H | 0.5 | -165 | 0.8 | +0.3 | 4/5 | +0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 203 | MLB | Cody Bellinger 10 games | NYY vs CLE@NYY | H | 0.5 | -200 | 1 | +0.5 | 3/5 | +0.2 | 46 | F | 1.0 | WIN | LOSS | |
| 204 | MLB | Eric Haase 10 games | SF vs SFG@MIL | H | 0.5 | -115 | 0.8 | +0.3 | 3/5 | +-0 | 46 | F | 1.0 | WIN | LOSS | |
| 205 | MLB | Ian Happ 10 games | CHC vs Athletics@ | R | 0.5 | -120 | 0.6 | +0.1 | 3/5 | -0.2 | 46 | F | 2.0 | WIN | LOSS | |
| 206 | MLB | Jose Caballero 10 games | NYY vs CLE@NYY | H | 0.5 | -160 | 1 | +0.5 | 3/5 | +0.1 | 46 | F | 0.0 | LOSS | WIN | |
| 207 | MLB | Justin Crawford 10 games | PHI vs SDP@PHI | H | 0.5 | -155 | 0.8 | +0.3 | 4/5 | +0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 208 | MLB | Michael Harris II 10 games | ATL vs TOR@ATL | H | 0.5 | -250 | 1.2 | +0.7 | 3/5 | -0.3 | 46 | F | 1.0 | WIN | LOSS | |
| 209 | MLB | Mookie Betts 10 games | LAD vs LAD@ARI | H | 0.5 | -250 | 1 | +0.5 | 3/5 | -0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 210 | MLB | Seiya Suzuki 10 games | CHC vs Athletics@ | H | 0.5 | -180 | 1 | +0.5 | 3/5 | -0.5 | 46 | F | 1.0 | WIN | LOSS | |
| 211 | MLB | Seth Lugo 10 games | KC vs KCR@MIN | K | 4.5 | -120 | 4.6 | +0.1 | 3/5 | -0.3 | 46 | F | 4.0 | LOSS | WIN | |
| 212 | MLB | Trent Grisham 10 games | NYY vs CLE@NYY | R | 0.5 | -120 | 0.6 | +0.1 | 3/5 | -0.3 | 46 | F | 0.0 | LOSS | WIN | |
| 213 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@MIN | H | 0.5 | -220 | 1.2 | +0.7 | 3/5 | +0.2 | 46 | F | 0.0 | LOSS | WIN | |
| 214 | MLB | Will Smith 10 games | LAD vs LAD@ARI | H | 0.5 | -220 | 0.8 | +0.3 | 4/5 | -0.1 | 46 | F | 1.0 | WIN | LOSS | |
| 215 | MLB | Willson Contreras 10 games | BOS vs BAL@BOS | H | 0.5 | -240 | 1.2 | +0.7 | 3/5 | -0.4 | 46 | F | 2.0 | WIN | LOSS | |
| 216 | MLB | Wilyer Abreu 10 games | BOS vs BAL@BOS | H | 0.5 | -300 | 1 | +0.5 | 3/5 | +0.4 | 46 | F | 1.0 | WIN | LOSS | |
| 217 | MLB | Zack Wheeler 6 games | PHI vs SDP@PHI | K | 5.5 | -220 | 6 | +0.5 | 3/5 | +0 | 46 | F | 8.0 | WIN | LOSS | |
| 218 | MLB | Austin Martin 10 games | MIN vs KCR@MIN | R | 0.5 | +165 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 219 | MLB | Brandon Lowe 10 games | PIT vs PIT@HOU | RBI | 0.5 | +176 | 0.8 | +0.3 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 220 | MLB | Brice Turang 10 games | MIL vs SFG@MIL | RBI | 0.5 | +155 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 221 | MLB | Cam Smith 10 games | HOU vs PIT@HOU | TB | 1.5 | +190 | 2.2 | +0.7 | 2/5 | -0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 222 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | RBI | 0.5 | +167 | 0.8 | +0.3 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 223 | MLB | David Hamilton 10 games | MIL vs SFG@MIL | R | 0.5 | +145 | 0.8 | +0.3 | 2/5 | +0.8 | 45 | F | 1.0 | WIN | LOSS | |
| 224 | MLB | Jac Caglianone 10 games | KC vs KCR@MIN | RBI | 0.5 | +188 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 225 | MLB | Jac Caglianone 10 games | KC vs KCR@MIN | TB | 1.5 | +125 | 1.8 | +0.3 | 2/5 | +1.2 | 45 | F | 1.0 | LOSS | WIN | |
| 226 | MLB | Jake Mangum 10 games | PIT vs PIT@HOU | R | 0.5 | +180 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 227 | MLB | Jose Caballero 10 games | NYY vs CLE@NYY | TB | 1.5 | +200 | 1.8 | +0.3 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 228 | MLB | Luke Keaschall 10 games | MIN vs KCR@MIN | RBI | 0.5 | +219 | 0.6 | +0.1 | 2/5 | +0.6 | 45 | F | 0.0 | LOSS | WIN | |
| 229 | MLB | Nick Loftin 10 games | KC vs KCR@MIN | RBI | 0.5 | +236 | 0.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 230 | MLB | Nolan Arenado 10 games | AZ vs LAD@ARI | RBI | 0.5 | +165 | 0.6 | +0.1 | 2/5 | +0.5 | 45 | F | 0.0 | LOSS | WIN | |
| 231 | MLB | Paul Goldschmidt 10 games | NYY vs CLE@NYY | RBI | 1.5 | +550 | 1.6 | +0.1 | 2/5 | +0.8 | 45 | F | 0.0 | LOSS | WIN | |
| 232 | MLB | Pete Alonso 10 games | BAL vs BAL@BOS | TB | 2.5 | +200 | 2.6 | +0.1 | 2/5 | +0.8 | 45 | F | 2.0 | LOSS | WIN | |
| 233 | MLB | Rhys Hoskins 10 games | CLE vs CLE@NYY | TB | 1.5 | +170 | 1.6 | +0.1 | 2/5 | +0.7 | 45 | F | 0.0 | LOSS | WIN | |
| 234 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | TB | 1.5 | +125 | 2.4 | +0.9 | 2/5 | -1 | 45 | F | 4.0 | WIN | LOSS | |
| 235 | MLB | Willy Adames 10 games | SF vs SFG@MIL | TB | 1.5 | +130 | 2.2 | +0.7 | 2/5 | -0.8 | 45 | F | 3.0 | WIN | LOSS | |
| 236 | MLB | Brayan Bello 9 games | BOS vs BAL@BOS | K | 4.5 | +135 | 4 | -0.5 | 3/5 | +0 | 44 | F | 4.0 | LOSS | WIN | |
| 237 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | R | 0.5 | -140 | 1 | +0.5 | 2/5 | +0.7 | 44 | F | 2.0 | WIN | LOSS | |
| 238 | MLB | Daulton Varsho 10 games | TOR vs TOR@ATL | H | 0.5 | -125 | 0.8 | +0.3 | 3/5 | -0.4 | 44 | F | 0.0 | LOSS | WIN | |
| 239 | MLB | Jackson Chourio 10 games | MIL vs SFG@MIL | R | 1.5 | +475 | 1.2 | -0.3 | 3/5 | +0.4 | 44 | F | 4.0 | WIN | LOSS | |
| 240 | MLB | Pete Crow-Armstrong 10 games | CHC vs Athletics@ | R | 0.5 | -127 | 0.8 | +0.3 | 3/5 | -0.4 | 44 | F | 1.0 | WIN | LOSS | |
| 241 | MLB | Rhys Hoskins 10 games | CLE vs CLE@NYY | H | 0.5 | -125 | 0.8 | +0.3 | 3/5 | +0.3 | 44 | F | 0.0 | LOSS | WIN | |
| 242 | MLB | Steven Kwan 10 games | CLE vs CLE@NYY | H | 0.5 | -128 | 0.8 | +0.3 | 3/5 | +0.2 | 44 | F | 0.0 | LOSS | WIN | |
| 243 | MLB | Alex Bregman 10 games | CHC vs Athletics@ | H | 0.5 | -220 | 0.8 | +0.3 | 4/5 | -0.5 | 43 | F | 1.0 | WIN | LOSS | |
| 244 | MLB | Brent Rooker 10 games | ATH vs Athletics@ | TB | 1.5 | +111 | 1.8 | +0.3 | 1/5 | +1.6 | 43 | F | 0.0 | LOSS | WIN | |
| 245 | MLB | Casey Schmitt 10 games | SF vs SFG@MIL | H | 0.5 | -208 | 1 | +0.5 | 3/5 | -0.8 | 43 | F | 2.0 | WIN | LOSS | |
| 246 | MLB | Dalton Rushing 10 games | LAD vs LAD@ARI | H | 0.5 | -180 | 0.8 | +0.3 | 3/5 | +0.5 | 43 | F | 1.0 | WIN | LOSS | |
| 247 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | H | 0.5 | -190 | 1 | +0.5 | 3/5 | -0.6 | 43 | F | 2.0 | WIN | LOSS | |
| 248 | MLB | Ian Happ 10 games | CHC vs Athletics@ | H | 0.5 | -190 | 1.2 | +0.7 | 3/5 | -0.6 | 43 | F | 2.0 | WIN | LOSS | |
| 249 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | H | 0.5 | -190 | 1 | +0.5 | 3/5 | -0.6 | 43 | F | 2.0 | WIN | LOSS | |
| 250 | MLB | Leody Taveras 10 games | BAL vs BAL@BOS | H | 0.5 | -186 | 0.8 | +0.3 | 4/5 | -0.5 | 43 | F | 1.0 | WIN | LOSS |
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.