Players · H · RF · 2008 regular season
Nathan Haynes
- Age
- 29
- B/T
- L/L
- Height
- 5' 9"
- Weight
- 170 lb
- Born
- September 7, 1979 in Oakland, CA, United States
- MLB debut
- May 28, 2007
- dbWAR
- -.4 Regular season, 2 season(s)
- PA
- 47
- AVG
- .227
- OBP
- .277
- SLG
- .227
- wRC+
- 35 100 = avg
Nathan Haynes was a right fielder for the Tampa Bay Rays. In 2008 he hit 0 home runs and knocked in 3 RBIs, notching 10 hits across 47 plate appearances in 15 games. His batting average was .227, 13.8% lower than the league average of .264. He reached base at a .277 clip and slugged .227, for an OPS of .504, 32.8% lower than the league mark of .749. He made contact on 75.6% of his swings. Adjusted for his ballpark and league, his 35 wRC+ puts his offence 65% below average. That comes to -0.2 dbWAR — -3.7 runs with the bat, +0.0 for the ballpark, +0.3 on the bases, +0.3 on double plays, -0.4 for the position he plays, against replacement level. It includes no fielding: defensive runs are proprietary and are not estimated here, so the figure credits playing a demanding position but not playing it well.
League context
Percentile among qualified batters, 2008 regular season.
How the WAR is built
Runs above replacement, 2008. These terms sum to -2.1 runs, divided by runs-per-win to give WAR. There is no fielding term.
WAR by season
Batting Regular season
Standard and advanced, by season. Regular-season games only — postseason games are listed separately below.
Separate from the regular season
Postseason Postseason
Wild Card through World Series. These games are counted on their own: none of them are in the regular-season tables, career totals, league context, leaderboards or dbWAR on this page.
Postseason batting
| Season | Team | Round | G | PA | AB | R | H | 2B | 3B | HR | RBI | BB | SO | SB | AVG | OBP | SLG | OPS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007 Post | LAA | ALDS | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | .000 | .000 | .000 | .000 |
Box-score and rate statistics only. wOBA, wRC+, FIP and dbWAR are measured against a full league season, and a postseason is a few teams playing each other for a month, so they are not computed for October.
Platoon splits
How he hits left- and right-handed pitching.
| Split | PA | AB | H | HR | BB | SO | AVG | OBP | SLG | wOBA | K% |
|---|---|---|---|---|---|---|---|---|---|---|---|
| vs LHP | 5 | 5 | 1 | 0 | 0 | 2 | .200 | .200 | .200 | .179 | 40.0% |
| vs RHP | 43 | 40 | 9 | 0 | 3 | 11 | .225 | .279 | .225 | .239 | 25.6% |
Spray chart
Where every ball he put in play landed, 2008.
Loading 29 batted balls…
Hot and cold zones
Batting average by pitch location, 2008.
Situational hitting
How Nathan Haynes hits by base state, outs, score and late-game pressure — each read against his own season line.
| Situation | PA | AB | H | HR | RBI | BB | SO | AVG | OBP | SLG | wOBA |
|---|---|---|---|---|---|---|---|---|---|---|---|
| All situations | 47 | — | — | — | — | — | — | .227 | .277 | .227 | .237 |
| Bases empty · thin | 21 | 20 | 5 | 0 | 0 | 1 | 3 | .250 | .286 | .250 | .248 |
| Runner on first · thin | 12 | 11 | 2 | 0 | 0 | 1 | 6 | .182 | .250 | .182 | .210 |
| Runners on | 27 | 25 | 5 | 0 | 3 | 2 | 10 | .200 | .259 | .200 | .220 |
| RISP · thin | 15 | 14 | 3 | 0 | 3 | 1 | 4 | .214 | .267 | .214 | .228 |
Runners on includes runners in scoring position, which is the convention every reference uses. Rows under 25 plate appearances are marked thin — at that size a rate moves several dozen points on one hit. Counted from play-by-play, 2008.
Not in the 2008 data: exit velocity and launch angle, first recorded in 2015. The play-by-play goes back to 2005, but the measurements on each pitch and batted ball arrived later, so the panels built from them are left off this season.
Compare Nathan Haynes with…
Side by side with up to three others.
wOBA uses linear weights measured from this season's own play-by-play rather than published constants, and wRC+ is park-adjusted against that same league. dbWAR is our own open implementation — not fWAR or bWAR — and the full derivation, including its simplifications, is on the methodology page.