Chris Gittens1B Sugar Land Space Cowboys
Age 32 R/R 6'3" / 250 lbs AAA H +4%HR -3% Svc 5.000 · Ctrl thru 2026
wRC+†59
AVG/OBP/SLG.203 / .265 / .311
PA200
HR4
K%32
BB%7
MLB%10%
BAT: -9.3 runs (wOBA-derived runs vs avg)-9BATRUN: +0.1 runs (SB/CS + UBR baserunning)+0RUNFLD: -0.8 runs (Defensive runs vs avg)-1FLDPOS: -3.6 runs (Positional adjustment)-4POSREP: +5.7 runs (Replacement-level credit)+6REPTotal WAR: -0.80-0.8WAR
trajectory · 10 yrs
-0.6peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-3
MLB Debut   2021
Service   5.000 yrs.days
Team Control Through   2026
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Arb-3$0.7M
Totals $-3M $-3M +$0.0M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201420 ROKGCL Yankees2 4538 8300 4141 00 .211.302.289.592 .079.308 319 .271 66 -2 +0 +0 -1 +1 -0.1
201521 ROK2 teams 161145 36616 11524 22 .248.319.428.746 .179.341 327 .313 98 -0 -0 +0 -3 +5 0.1
201622 ACharleston RiverDogs 451407 8116020 321639 42 .199.272.386.658 .187.269 367 .283 75 -13 +0 +0 -8 +13 -0.8
201723 A+Tampa Yankees 290257 5110010 281175 11 .198.290.354.644 .156.315 4010 .284 76 -8 -0 +0 -5 +8 -0.5
201824 AATrenton Thunder 213191 32605 19831 01 .168.246.277.524 .110.257 399 .235 38 -15 -0 +0 -4 +6 -1.3
201925 AATrenton Thunder 478419 9411120 501875 00 .224.314.399.713 .174.343 3910 .310 95 -2 +0 +0 -9 +14 0.3
202127 AAA2 teams 228193 458012 32691 00 .233.345.461.806 .228.289 3014 .344 122 +6 +0 +0 -4 +6 0.9
202430 AAA2 teams 3733 6000 4170 00 .182.270.182.452 .000.375 4611 .222 28 -3 +0 +0 -1 +1 -0.3
▸ 2026 Season
202632 MLBHOU 200182 38714 14632 31 .209.273.324.597 .115.287 327 .262 59 -9 +0 -1 -4 +6 -0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202733 MLB 20%HOU 170154 32613 12532 21 .208.274.318.592 .110.286 317 .263 60 -8 +0 -5 -3 +5 -1.1
202834 MLB 33%HOU 129118 24412 9411 10 .203.266.305.571 .102.285 327 .262 58 -6 +0 -5 -2 +4 -1.0
▸ Career Totals (MLE all levels + projections)
Career 24022137 44777582 21585931 138 .209.291.365.656 .156.301 369 .287 78 -61 -1 -11 -43 +68 -4.8
/ 162G 650578 12121122 582328 42 .209.290.363.654 .154.301 369 .287 78 -16 +0 -3 -12 +18 -1.3

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
201420 ROKGCL Yankees2 4535 10400 7101 00 .286.419.400.819 .114.370 2216 .360 133 +2 +0 +1 0.3
201521 A+Tampa Yankees 1514 2000 130 00 .143.200.143.343 .000.182 207 .167 -14 -2 +0 +0 -0.2
201521 ROKGCL Yankees1 146124 45918 17334 22 .363.455.6451.100 .282.440 2312 .473 220 +20 -0 +4 2.4
201622 ACharleston RiverDogs 451383 9723021 561269 42 .253.362.478.839 .225.318 2812 .370 141 +21 +0 +13 3.5
201723 A+Tampa Yankees 290248 6612013 37795 11 .266.372.472.844 .206.340 2713 .376 146 +15 -0 +8 2.4
201824 AATrenton Thunder 213183 36806 27651 01 .197.303.339.642 .142.263 3113 .292 82 -4 -0 +6 0.1
201925 AATrenton Thunder 478398 11216123 711395 00 .281.397.500.897 .219.371 2915 .394 160 +32 +0 +14 4.7
202127 MLBNew York Yankees 4436 4001 7130 00 .111.256.194.450 .083.130 3016 .220 27 -4 +0 +0 -4 +1 -0.6
202127 AAAScranton/Wilkes-Barre RailRiders 184146 448014 36461 00 .301.443.6441.086 .342.345 2520 .463 212 +23 +0 +5 2.9
202430 AAASugar Land Space Cowboys 1916 5000 390 00 .312.421.312.734 .000.714 4716 .348 125 +1 +0 +1 0.1
202430 ROKFCL Astros 1814 3000 440 00 .214.389.214.603 .000.300 2222 .306 92 -0 +0 +1 0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 4436 4001 7130 00 .111.256.194.450 .083.130 3016 .220 27 -4 +0 +0 -4 +1 -0.6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Chris Gittens (OGILVIE) 32 .203/.265/.311 .109.287 43 32% 7% 59 -0.4
Deven Marrero
2022 · MLB
31 40→48 46→45 49→50 41 .204/.260/.327 .122.285 159 33% 7% 60 -1.0 .218/.277/.332 .114.295 1312 29% 7% 69 -0.4 .206/.271/.286.080.26891525%8%49-0.5
Webster Rivas
2022 · MLB
31 44 44→40 47→40 47 .218/.282/.329 .111.277 124 25% 8% 70 -0.3 .220/.299/.314 .094.299 75 26% 10% 73 -0.1 .212/.308/.279.067.2992226%12%66-0.3
David Matranga
2009 · AAA
32 41 46→45 49→50 42 .210/.274/.334 .124.276 1410 29% 6% 69 -0.4 .222/.302/.348 .126.301 139 28% 9% 84 +0.6 .209/.311/.324.115.28711528%10%82+0.2
Jed Hansen
2006 · AAA
33 41→40 45 51→50 39 .205/.267/.330 .125.284 1214 31% 6% 65 -0.7 .209/.267/.326 .117.266 1213 25% 6% 63 -0.8 .199/.258/.303.104.244111223%6%50-1.2
Dusty Coleman
2018 · MLB
31 39→43 47→50 51→50 35 .198/.251/.338 .139.298 1514 38% 5% 59 -1.1 .171/.223/.301 .130.330 1512 50% 5% 39 -2.5 .114/.167/.218.104.254131158%5%-9-3.2
Gookie Dawkins
2011 · AAA
32 40→48 43→45 44→50 38 .201/.250/.311 .110.287 118 33% 6% 52 -1.6 .205/.258/.333 .128.288 1411 32% 6% 61 -1.0 .182/.238/.301.119.246151232%6%42-1.4
Matt Pagnozzi
2015 · MLB
32 37 45 47→40 40 .193/.251/.306 .113.249 143 29% 6% 52 -1.6 .210/.265/.321 .111.268 136 26% 6% 61 -1.0 .206/.263/.282.076.2588022%7%49-0.7
Eli Whiteside
2014 · MLB
34 35 40→50 44→40 40 .180/.233/.270 .089.241 94 29% 6% 34 -2.8 .185/.234/.292 .107.246 116 29% 5% 40 -2.4 .153/.202/.253.100.19611228%4%15-1.8
Dane Sardinha
2011 · MLB
32 35→32 45 47→30 35 .184/.225/.297 .113.253 134 33% 4% 37 -2.6 .193/.262/.291 .098.281 106 33% 7% 53 -1.5 .132/.248/.158.026.2190034%11%7-1.2
Joe Hudson
2022 · MLB
31 36 44→45 47→40 39 .188/.240/.299 .111.269 135 35% 6% 44 -2.1 .203/.283/.350 .147.288 198 34% 9% 77 +0.1 .183/.287/.336.152.26122836%11%73-0.0
J.C. Boscan
2013 · AAA
33 38 39→40 43→30 40 .191/.240/.276 .085.251 74 27% 5% 38 -2.6 .190/.238/.256 .066.252 55 25% 5% 32 -3.0 .177/.223/.214.037.2332223%5%11-1.3
Brandon Hicks
2016 · MLB
30 37→40 46→50 47→50 40 .188/.262/.313 .125.291 146 38% 8% 58 -1.2 .194/.263/.307 .113.327 1210 41% 8% 57 -1.2 .169/.240/.260.091.301111245%8%32-1.5
Yamid Haad
2010 · AAA
32 43 42→45 44→40 39 .213/.250/.313 .100.274 106 26% 5% 52 -1.6 .236/.279/.346 .110.295 106 23% 5% 72 -0.2 .264/.309/.367.103.3208219%6%89+0.5
Chris Truby
2005 · MLB
31 46→43 42→50 47→45 41 .225/.266/.334 .109.285 96 24% 5% 64 -0.8 .207/.256/.347 .140.255 176 25% 6% 64 -0.8 .186/.235/.317.131.22816626%6%45-1.4
Luis Bustillos
2009 · AAA
31 45 41→40 43→40 38 .221/.257/.319 .098.289 97 26% 4% 56 -1.3 .226/.270/.312 .086.300 79 26% 5% 59 -1.1 .228/.273/.267.039.3110525%4%47-0.6
Ryan Budde
2012 · AAA
32 40 41→45 41→40 41 .195/.260/.286 .092.293 95 35% 8% 50 -1.8 .191/.252/.279 .088.296 89 35% 7% 44 -2.1 .141/.201/.189.048.2262836%7%-2-1.8
Eric Stamets
2022 · MLB
30 37→47 43→45 55→50 41 .189/.250/.298 .109.260 1114 31% 6% 49 -1.8 .188/.258/.305 .117.268 1313 33% 7% 55 -1.4 .146/.225/.246.100.213121636%6%24-1.3
Ali Solis
2019 · AAA
31 40 42→45 46→30 34 .201/.236/.300 .100.285 106 33% 4% 42 -2.3 .210/.246/.358 .148.285 196 33% 4% 63 -0.9 .196/.230/.353.157.24923332%4%51-1.0
D.J. Peterson
2022 · AAA
30 40→44 48→55 50→40 39 .209/.262/.347 .138.280 1610 31% 5% 67 -0.5 .208/.279/.374 .166.290 216 34% 7% 82 +0.5 .176/.257/.344.168.23623135%8%62-0.5
Kristopher Negrón
2018 · MLB
32 44→50 43→45 54→55 40 .217/.271/.330 .113.283 1117 27% 5% 66 -0.6 .228/.288/.354 .126.327 1415 33% 6% 79 +0.3 .226/.291/.350.124.335151435%7%75+0.0