Randal GrichukRF New York Yankees
Age 34 R/R 6'0" / 210 lbs MLB HR +8%BB +8% Svc 11.192 · Ctrl thru 2026 peak 0.2 · 2026
wRC+†vL 10999vR 78
AVG/OBP/SLG.255 / .311 / .451
PA320
HR12
K%20
BB%7
MLB%100%
BAT: -0.3 runs (wOBA-derived runs vs avg)-0BATRUN: +0.4 runs (SB/CS + UBR baserunning)+0RUNFLD: -3.7 runs (Defensive runs vs avg)-4FLDPOS: -3.4 runs (Positional adjustment)-3POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.20+0.2WAR
Scouting · nowfuture
HIT
6060
PWR
5555
SPD
5050
EYE
4450
trajectory · 10 yrs
0.9peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   FA
MLB Debut   2014
Service   11.192 yrs.days
Team Control Through   2026
First FA Year   2027
OPT
YearStatusSalary Proj WAR Value Surplus
2026Ext / FA-deal$2M+0.2$0.8M-$2M
Totals $2M $0.8M -$2M
Options · projected decision
2027MUTUAL OPT$2026.0M / $0.0M buyoutDECLINE
2028MUTUAL OPT$5.0M / $3.0M buyoutDECLINE
2029MUTUAL OPT$2026.0M / $0.0M buyoutDECLINE
2030MUTUAL OPT$2025.0M / $0.0M buyoutDECLINE
2031MUTUAL OPT$6.0M / $0.0M buyoutDECLINE
2032MUTUAL OPT$2025.0M / $0.0M buyoutDECLINE

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
200917 ROKAZL Angels 256239 56975 6924 64 .234.265.393.658 .159.349 362 .268 63 -11 -0 +0 -3 +7 -0.7
201018 A2 teams 266255 601748 8792 40 .235.264.427.692 .192.308 303 .290 80 -6 +1 +0 -3 +8 -0.0
201119 A3 teams 216201 40952 6624 01 .199.237.323.560 .124.268 293 .237 40 -15 -0 +0 -2 +6 -1.1
201220 A+2 teams 639606 14826720 1514011 186 .244.275.409.685 .165.284 222 .292 82 -13 +1 +0 -7 +18 -0.1
201321 AAArkansas Travelers 542511 11322821 171219 95 .221.259.419.678 .198.247 223 .283 75 -15 -0 +0 -6 +15 -0.6
201422 AAA2 teams 588556 11424221 231716 87 .205.244.369.613 .164.254 294 .265 61 -26 -1 +2 -6 +17 -1.5
201523 MLBSt. Louis Cardinals 350323 9324819 221104 42 .288.341.588.929 .300.379 316 .386 153 +21 +0 -0 -4 +10 2.8
201624 MLB2 teams 564528 12633429 291595 54 .239.285.481.766 .242.284 285 .328 109 +6 -1 -2 +2 +16 2.1
201725 MLB2 teams 509477 11226328 271593 61 .235.280.478.758 .243.288 315 .323 105 +3 +1 +2 -5 +14 1.5
201826 MLBToronto Blue Jays 462424 10230124 271228 32 .241.298.486.784 .245.278 266 .340 118 +9 -0 +4 -5 +13 2.2
201927 MLBToronto Blue Jays 628586 13730530 351635 21 .234.283.456.738 .222.271 266 .317 101 +1 +0 +0 -7 +18 1.2
202028 MLBToronto Blue Jays 231216 5910012 13490 11 .273.314.486.801 .213.299 216 .336 115 +4 -0 +0 +1 +7 1.2
202129 MLBToronto Blue Jays 545511 12324022 271143 03 .241.283.417.700 .176.266 215 .305 92 -5 -1 +0 +2 +15 1.2
202230 MLBColorado Rockies 538506 12019314 241276 40 .237.280.370.649 .132.289 244 .284 76 -15 +1 -5 -6 +15 -1.0
202331 MLB2 teams 507468 11929215 311046 22 .254.309.421.730 .167.296 216 .318 102 +1 -0 -7 -5 +14 0.3
202432 MLB2 teams 295268 7519213 21504 00 .280.341.511.852 .231.300 177 .358 132 +11 +0 -2 -3 +8 1.4
202533 MLBKansas City Royals 293272 611719 17611 01 .224.272.393.666 .169.254 216 .287 78 -7 -0 -3 -3 +8 -0.5
▸ 2026 Season (actual · ROS · total)
202634 MLBNew York Yankees 3129 5300 1100 00 .172.200.276.476 .103.250 323 .203 13 -3 +0 -1 -0 +1 -0.3
ROS34 MLBNYY 289267 6718110 18602 10 .251.303.438.741 .187.285 216 .327 108 +3 +0 -3 -3 +8 0.5
TOT34 MLBNYY 320296 7221110 19702 10 .243.293.422.716 .179.284 226 .315 99 -0 +0 -4 -3 +9 0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202735 MLBNYY 261241 591619 16512 10 .245.297.432.729 .187.273 206 .318 101 +0 +0 -8 -3 +7 -0.3
202836 MLBNYY 204188 451216 13421 00 .239.292.410.702 .170.269 216 .308 94 -1 +0 -8 -2 +6 -0.6
202937 MLBNYY 143132 31814 9311 00 .235.289.402.690 .167.265 226 .296 85 -2 +0 -8 -2 +4 -0.9
▸ Career Totals (MLE all levels + projections)
Career 83267775 186042266321 404206787 7440 .239.284.434.719 .195.283 255 .308 94 -58 -1 -38 -70 +236 7.0
/ 162G 650607 14533525 321617 63 .239.285.433.719 .194.282 255 .308 94 -5 +0 -3 -5 +18 0.6

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
200917 ROKAZL Angels 256236 7613107 9644 64 .322.357.551.908 .229.408 254 .384 152 +15 -0 +7 2.2
201018 ACedar Rapids Kernels 214202 591947 9502 40 .292.329.530.858 .238.356 234 .371 142 +10 +1 +6 1.7
201018 ROKAZL Angels 5249 16324 390 00 .327.365.7141.080 .388.333 176 .458 209 +6 +0 +1 0.8
201119 A+Inland Empire 66ers 5753 15421 0133 00 .283.321.491.812 .208.350 230 .349 125 +2 +0 +2 0.3
201119 ACedar Rapids Kernels 131122 28742 6291 01 .230.271.402.673 .172.280 225 .291 81 -3 -0 +4 0.0
201119 ROKAZL Angels 2824 8110 240 00 .333.385.458.843 .125.364 147 .347 124 +1 +0 +1 0.2
201220 A+Inland Empire 66ers 575537 16030918 23929 166 .298.337.488.825 .190.329 164 .359 133 +21 +1 +16 3.9
201220 INTLScottsdale Scorpions 6457 13102 4182 20 .228.302.351.652 .123.289 286 .293 82 -1 +0 +2 0.1
201321 AAArkansas Travelers 542500 12827822 28929 95 .256.307.474.781 .218.272 175 .339 118 +11 -0 +15 2.6
201422 MLBSt. Louis Cardinals 116110 27613 5310 02 .245.278.400.678 .155.316 274 .297 85 -2 -1 +2 -6 +3 -0.4
201422 AAAMemphis Redbirds 472436 11323225 281086 85 .259.313.493.806 .234.289 236 .351 127 +14 -0 +13 2.8
201523 MLBSt. Louis Cardinals 350323 8923717 221104 42 .276.330.548.878 .272.365 316 .379 148 +19 +0 -0 -4 +10 2.6
201624 MLBSt. Louis Cardinals 478446 10729324 281413 54 .240.289.480.769 .240.294 296 .335 114 +8 -1 -2 +2 +14 2.1
201624 AAAMemphis Redbirds 8681 22416 2142 00 .272.306.568.874 .296.258 162 .373 143 +4 +0 +2 0.7
201725 MLBSt. Louis Cardinals 442412 9825322 261332 61 .238.286.473.760 .235.293 306 .330 111 +5 +1 +2 -5 +13 1.5
201725 AAAMemphis Redbirds 6763 17306 3201 00 .270.313.603.917 .333.297 304 .394 160 +5 +0 +2 0.7
201826 MLBToronto Blue Jays 462424 10432125 271228 32 .245.303.502.805 .257.282 266 .349 125 +13 -0 +4 -5 +13 2.6
201927 MLBToronto Blue Jays 628586 13629531 351635 21 .232.281.457.738 .225.266 266 .322 105 +3 +0 +0 -7 +18 1.5
202028 MLBToronto Blue Jays 231216 599012 13490 11 .273.314.481.796 .208.299 216 .346 123 +6 -0 +0 +1 +7 1.4
202129 MLBToronto Blue Jays 545511 12325122 271143 03 .241.283.423.706 .182.266 215 .309 95 -3 -1 +0 +2 +15 1.4
202230 MLBColorado Rockies 538506 13121319 241276 40 .259.300.425.725 .166.309 244 .320 103 +2 +1 -5 -6 +15 0.7
202331 MLBLos Angeles Angels 471434 11631216 29966 22 .267.322.459.780 .191.309 206 .343 121 +11 -0 -7 -5 +13 1.2
202331 AAAAlbuquerque Isotopes 3633 3100 360 00 .091.167.121.288 .030.111 178 .144 -31 -5 +0 +1 -0.4
202432 MLBArizona Diamondbacks 279254 7420212 20463 00 .291.350.528.878 .236.313 167 .381 150 +16 +0 -2 -3 +8 1.8
202432 AAAReno Aces 1614 4001 131 00 .286.375.500.875 .214.300 196 .389 156 +1 +0 +0 0.1
202533 MLBKansas City Royals 293272 621819 17611 01 .228.276.401.677 .173.259 216 .296 85 -5 -0 -3 -3 +8 -0.3
▸ Career Totals (raw MLB only — historical actual)
MLB Career 48334494 112626829212 273119341 2719 .251.300.465.764 .214.294 256 .333 113 +72 -2 -10 -40 +137 16.0

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
Randal Grichuk (OGILVIE) 34 60 55 50 50 .249/.302/.438 .189.276 111 18% 6% 108 +1.2
Jose Guillen
2010 · MLB
34 52→57 51→60 47→45 46 .266/.320/.427 .161.293 194 17% 6% 111 +2.5 .246/.306/.400 .154.278 194 19% 6% 99 +1.7 .242/.302/.393.151.27420120%6%93+1.2
Hunter Pence
2017 · MLB
34 55→63 53→60 47→50 50 .277/.336/.457 .180.319 217 20% 8% 126 +3.5 .263/.318/.416 .153.313 196 21% 7% 107 +2.2 .260/.312/.409.149.30919622%7%100+1.2
Fernando Tatis
2009 · MLB
34 48→54 52→55 47→45 49 .248/.314/.415 .168.287 197 21% 8% 106 +2.2 .253/.316/.417 .164.290 177 19% 7% 107 +2.2 .276/.335/.428.152.30813614%6%111+1.6
Garrett Jones
2015 · MLB
34 48→53 54→60 46→50 48 .248/.305/.433 .185.284 223 21% 8% 107 +2.2 .236/.293/.390 .154.284 185 23% 7% 91 +1.1 .213/.254/.347.134.25717024%5%62-0.2
Kevin Pillar
2023 · MLB
34 47→57 55 48→55 44 .246/.300/.432 .186.274 239 20% 6% 105 +2.1 .232/.281/.400 .168.269 2114 22% 5% 89 +0.9 .223/.271/.382.159.261191823%4%78+0.1
Adam Jones
2019 · MLB
33 54→57 51→60 47→50 45 .276/.315/.432 .157.302 205 17% 5% 111 +2.5 .265/.314/.418 .153.302 185 18% 6% 107 +2.2 .261/.316/.416.154.30019219%6%103+1.7
Kurt Suzuki
2018 · MLB
34 51→60 52→60 46→45 49 .258/.316/.421 .163.268 202 13% 6% 109 +2.4 .264/.328/.454 .190.269 243 12% 6% 123 +3.3 .262/.330/.439.177.26822112%6%116+1.3
Michael Cuddyer
2012 · MLB
33 54→64 53→60 51→50 53 .274/.338/.456 .183.298 208 16% 8% 126 +3.5 .283/.342/.471 .188.320 2011 18% 8% 132 +4.0 .297/.355/.500.203.336221118%8%139+2.8
Rondell White
2006 · MLB
34 56→62 54→60 41→40 49 .286/.339/.469 .183.304 213 14% 6% 131 +3.9 .251/.294/.392 .141.275 164 15% 5% 92 +1.2 .229/.266/.346.117.25213115%4%64-0.4
Adonis García
2019 · MLB
34 52→56 49→50 48→50 44 .262/.304/.407 .145.287 178 16% 4% 100 +1.7 .219/.276/.340 .121.262 1414 22% 6% 71 -0.3 .193/.248/.286.094.234111623%4%43-0.9
Yadiel Hernandez
2022 · MLB
34 49→56 56→55 45 46 .259/.315/.443 .184.308 257 25% 8% 114 +2.7 .255/.302/.397 .142.316 177 24% 6% 96 +1.5 .272/.317/.409.136.33416423%6%104+1.1
Corey Hart
2015 · MLB
33 46→56 52→60 52→55 46 .236/.300/.406 .170.280 206 24% 7% 98 +1.6 .220/.274/.367 .147.283 187 28% 6% 77 +0.1 .182/.203/.311.129.25022037%2%24-0.6
Yuli Gurriel
2018 · MLB
34 56→64 51→60 43→50 46 .280/.317/.451 .171.294 185 12% 4% 117 +2.9 .286/.326/.463 .177.299 195 12% 5% 124 +3.4 .292/.350/.474.182.30221311%7%133+3.2
Darnell McDonald
2012 · MLB
33 51→56 51→55 50→55 46 .255/.309/.424 .170.304 1712 22% 7% 106 +2.2 .216/.280/.340 .124.264 1210 22% 8% 72 -0.2 .195/.258/.288.093.2438922%7%47-1.0
Ryan Raburn
2016 · MLB
35 49→55 54→60 46→50 51 .249/.326/.434 .185.295 213 23% 9% 116 +2.8 .237/.317/.405 .168.319 194 29% 10% 105 +2.1 .223/.306/.384.161.31718133%10%91+0.4
Alex Dickerson
2022 · MLB
32 49→54 56→55 48→45 48 .255/.326/.453 .198.293 244 22% 8% 121 +3.2 .222/.282/.386 .164.268 205 25% 7% 85 +0.7 .196/.249/.341.145.23817125%6%56-0.8
Eric Karros
2002 · MLB
34 46→55 55 43→40 52 .243/.314/.423 .180.268 235 20% 9% 108 +2.3 .260/.318/.409 .149.285 175 15% 8% 106 +2.2 .266/.320/.403.137.28615313%7%101+1.1
Ty Wigginton
2012 · MLB
34 49→55 49→60 46→50 50 .247/.310/.397 .150.274 175 17% 8% 99 +1.7 .232/.307/.375 .143.277 176 22% 9% 93 +1.3 .226/.310/.366.140.26819222%10%88+0.5
Jake Fox
2016 · AAA
34 45→54 57→65 47→45 43 .243/.299/.436 .193.274 264 23% 5% 106 +2.2 .222/.272/.380 .158.280 194 28% 6% 80 +0.4 .204/.253/.356.152.25719029%5%63-0.7
Dmitri Young
2008 · MLB
34 57→65 52→60 45 50 .287/.343/.461 .174.323 193 18% 8% 130 +3.8 .276/.353/.423 .147.315 154 16% 10% 124 +3.4 .278/.395/.397.119.31913016%16%121+0.9