Michael PapierskiC Tacoma Rainiers
Age 30 S/R 6'3" / 224 lbs AAA HR +3% Svc 4.000 · Ctrl thru 2027 peak 0.5 · 2026
wRC+†77
AVG/OBP/SLG.213 / .294 / .331
PA250
HR5
K%25
BB%9
xwOBA.219
Barrel%0.0%
MLB%10%
BAT: -6.4 runs (wOBA-derived runs vs avg)-6BATRUN: -0.3 runs (SB/CS + UBR baserunning)-0RUNFLD: +0.2 runs (Defensive runs vs avg)+0FLDPOS: +4.5 runs (Positional adjustment)+4POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.50+0.5WAR
Scouting · nowfuture
HIT
4343
PWR
3131
SPD
2727
EYE
5747
trajectory · 10 yrs
0.6peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Arb-2
MLB Debut   2022
Service   4.000 yrs.days
Team Control Through   2027
First FA Year   2028
YearStatusSalary Proj WAR Value Surplus
2026Arb-2$2M+0.5$2M+$0.5M
2027Arb-3$2M+0.5$2M+$0.0M (cut)
Totals $4M $4M +$0.5M

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
201822 AQuad Cities River Bandits 369314 48904 47908 41 .153.279.220.499 .067.200 2413 .237 40 -25 +0 +0 +7 +10 -0.8
201923 A+Fayetteville Woodpeckers 446397 70816 381468 27 .176.262.247.509 .071.259 339 .230 34 -33 -2 +0 +8 +13 -1.5
202125 AAASugar Land Skeeters 410350 701616 471099 15 .200.310.303.613 .103.269 2711 .278 71 -13 -2 +0 +7 +12 0.4
202226 AAA2 teams 325290 52705 27743 00 .179.256.255.511 .076.220 238 .232 36 -23 +0 -3 +6 +9 -1.1
202327 AAA2 teams 378334 761319 35974 21 .228.308.353.662 .126.289 269 .293 82 -8 +0 +0 +7 +11 1.0
202428 AAATacoma Rainiers 336292 561404 34864 10 .192.285.281.566 .089.251 2610 .260 57 -16 +0 +0 +6 +10 -0.1
▸ 2026 Season
202630 MLBSEA 250222 481015 23633 21 .216.298.338.636 .122.273 259 .286 77 -6 +0 +0 +4 +7 0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202731 MLB 20%SEA 350311 671417 32884 20 .215.297.334.631 .119.274 259 .286 77 -9 +0 -3 +6 +10 0.5
202832 MLB 33%SEA 321286 601216 29823 00 .210.289.322.611 .112.274 269 .284 76 -9 +0 -3 +6 +9 0.3
202933 MLB 43%SEA 284253 541116 26743 00 .213.294.336.630 .123.273 269 .281 73 -9 +0 -4 +5 +8 0.1
203034 MLB 52%SEA 237212 44914 21642 00 .208.285.316.601 .108.272 279 .276 69 -8 +0 -5 +4 +7 -0.2
203135 MLB 70%SEA 184164 34713 16512 00 .207.286.317.603 .110.269 289 .268 63 -8 +0 -5 +3 +5 -0.5
▸ Career Totals (MLE all levels + projections)
Career 38903425 679130965 375102453 1415 .198.287.298.586 .100.260 2610 .266 62 -168 -3 -23 +69 +110 -1.4
/ 162G 650572 11422211 631719 23 .199.289.302.591 .103.261 2610 .266 62 -28 -1 -4 +12 +18 -0.3

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
201822 AQuad Cities River Bandits 369297 551205 64698 41 .185.344.276.620 .091.224 1917 .300 88 -5 +0 +10 0.6
201923 A+Fayetteville Woodpeckers 446374 871117 611018 27 .233.352.324.676 .091.299 2314 .315 99 -1 -2 +13 1.0
202125 AAASugar Land Skeeters 410333 821827 64859 15 .246.382.375.757 .129.307 2116 .346 123 +11 -2 +12 2.1
202226 MLBCincinnati Reds 10391 13101 10260 00 .143.228.187.415 .044.188 2510 .197 9 -11 +0 -3 +6 +3 -0.5
202226 AAALouisville Bats 222190 44706 26393 00 .232.333.363.696 .132.257 1812 .315 99 -0 +0 +6 0.6
202327 AAAToledo Mud Hens 305256 681418 42653 00 .266.375.422.797 .156.321 2114 .356 130 +10 +0 +9 1.9
202327 INTLLeones del Escogido 7351 9212 20141 21 .176.417.373.789 .196.200 1927 .365 138 +3 +0 +2 0.5
202428 AAATacoma Rainiers 336277 671806 49674 10 .242.364.372.735 .130.292 2015 .332 112 +5 +0 +10 1.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career 10391 13101 10260 00 .143.228.187.415 .044.188 2510 .197 9 -11 +0 -3 +6 +3 -0.5

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
Michael Papierski (OGILVIE) 30 43 31 27 47 .213/.294/.331 .118.273 52 25% 9% 77 +0.1
Bryan Holaday
2018 · MLB
30 45 47→45 37→40 42 .226/.271/.359 .133.262 143 20% 4% 73 -0.1 .227/.286/.345 .118.263 124 18% 6% 76 +0.1 .217/.286/.341.124.25213219%7%71-0.1
Manuel Bobadilla
2014 · AAA
30 47 42→45 41→45 46 .228/.305/.333 .105.297 107 25% 8% 82 +0.5 .217/.279/.326 .109.281 116 26% 6% 69 -0.4 .192/.248/.279.087.23911024%5%43-0.6
Francisco Cordoba
2014 · AAA
30 47→53 47→45 35→40 42 .239/.283/.368 .129.293 164 24% 5% 81 +0.4 .238/.286/.357 .119.291 143 23% 5% 79 +0.3 .227/.280/.329.102.27711222%5%67-0.3
Jaime Pedroza
2017 · AAA
30 47→52 45 42→50 43 .233/.285/.360 .127.290 129 24% 6% 79 +0.3 .243/.311/.368 .125.316 1211 25% 8% 92 +1.2 .267/.350/.381.115.359101126%10%113+0.8
Ed Easley
2016 · AAA
30 49→42 42→45 37→40 47 .238/.295/.342 .104.284 94 19% 7% 79 +0.3 .212/.270/.303 .091.256 96 20% 7% 58 -1.2 .163/.218/.194.030.1944018%6%7-1.0
Alejandro Gonzalez
2015 · AAA
29 48→50 44→45 40→50 46 .235/.309/.349 .114.295 127 24% 7% 88 +0.9 .235/.293/.334 .099.318 96 28% 5% 76 +0.1 .237/.296/.341.104.32571227%6%77+0.1
Rob Johnson
2011 · MLB
29 47→52 42→45 41→50 51 .226/.296/.335 .110.273 85 20% 8% 77 +0.1 .207/.274/.317 .110.259 107 23% 8% 63 -0.8 .194/.249/.297.103.23711523%6%43-0.8
Juan Melo
2007 · AAA
30 49→46 43→45 41→40 42 .243/.279/.350 .107.284 115 19% 4% 73 -0.1 .232/.275/.339 .107.275 116 20% 5% 69 -0.4 .227/.275/.319.092.26110217%5%63-0.3
Tony Cruz
2017 · MLB
30 45→37 42→45 41→40 46 .219/.274/.320 .101.276 95 24% 7% 63 -0.8 .218/.270/.342 .124.289 145 29% 6% 68 -0.5 .219/.269/.342.123.29415030%4%67-0.2
Enrique Wilson
2003 · MLB
30 47 43→45 39→40 48 .228/.275/.339 .111.253 105 15% 6% 69 -0.4 .219/.270/.342 .123.230 137 12% 6% 68 -0.5 .207/.256/.315.108.2101168%6%53-0.5
Curt Casali
2019 · MLB
30 47 45→50 39→30 47 .233/.299/.350 .117.289 133 24% 8% 83 +0.6 .239/.318/.393 .154.299 185 25% 9% 102 +1.9 .216/.315/.356.139.28517028%11%84+0.3
Luke Carlin
2010 · MLB
29 46 41→45 40→45 51 .219/.300/.321 .102.296 95 27% 10% 76 +0.0 .222/.300/.327 .105.284 107 24% 10% 77 +0.1 .209/.290/.294.085.2588321%10%63-0.4
Kevin Flores
2015 · AAA
30 55→51 42→45 36→45 44 .266/.306/.366 .099.305 102 17% 5% 89 +0.9 .246/.289/.330 .084.300 74 19% 4% 72 -0.2 .234/.278/.302.068.2904320%4%57-0.6
Omar Mendoza
2014 · AAA
31 49→54 41→45 40→45 45 .240/.290/.332 .092.298 107 22% 6% 73 -0.1 .234/.277/.315 .081.304 86 24% 6% 63 -0.9 .239/.282/.290.051.3172224%6%54-0.5
Carlos Leon
2009 · AAA
29 51→60 37→30 39→45 49 .240/.309/.310 .070.282 47 16% 7% 76 +0.1 .219/.288/.303 .084.263 68 18% 7% 66 -0.6 .205/.281/.266.060.2444716%7%50-0.7
Jose Montenegro
2006 · AAA
30 48 43→40 41→30 52 .234/.291/.345 .110.254 116 13% 7% 78 +0.2 .233/.293/.337 .104.269 106 17% 8% 76 +0.1 .242/.315/.320.078.2908018%9%76+0.0
JD Closser
2010 · AAA
30 43 42→50 42→45 49 .211/.276/.312 .102.264 96 24% 8% 63 -0.8 .221/.276/.313 .092.275 97 22% 7% 63 -0.9 .215/.272/.299.083.26010521%7%55-0.6
Ivan Bellazetin
2017 · AAA
30 51→52 40 39→55 43 .243/.282/.331 .088.280 77 16% 4% 69 -0.4 .239/.281/.352 .113.279 119 18% 5% 75 -0.0 .237/.278/.339.103.27710518%4%66-0.2
Brian Jeroloman
2016 · AAA
31 41→38 38→40 38→40 50 .198/.274/.269 .071.264 63 26% 9% 52 -1.6 .212/.289/.297 .085.285 66 25% 9% 65 -0.7 .198/.284/.262.064.2820027%10%51-0.4
Jose Castaneda
2015 · AAA
30 46→49 43→45 40 41 .227/.273/.331 .104.280 115 23% 5% 66 -0.6 .209/.260/.320 .111.276 137 28% 6% 59 -1.1 .165/.226/.263.098.22315333%6%26-1.1