Marshall TooleOF Tampa Tarpons
Age 23 L/R 5'11" / 185 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 1.0 · 2029
wRC+†85
AVG/OBP/SLG.218 / .300 / .352
PA320
HR7
SB9
K%28
BB%9
MLB%0%
BAT: -5.5 runs (wOBA-derived runs vs avg)-5BATRUN: +1.1 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
5050
PWR
4040
SPD
6060
EYE
6155
trajectory · 10 yrs
1.0peak
2029

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2031
Service   0 yrs (est)
Team Control Through   2036
First FA Year   2037
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2031
2027MiLBstill in minors · estimated debut 2031
2028MiLBstill in minors · estimated debut 2031
2029MiLBstill in minors · estimated debut 2031
2030MiLBstill in minors · estimated debut 2031
2031Arb-3$0.9M+0.9$4M+$3M
2032Ext / FA-deal$0.9M+0.8$4M+$3M
2033Ext / FA-deal$1.0M+0.5$2M+$1M
2034Ext / FA-deal$0.6M+0.3$2M+$0.9M
2035Ext / FA-deal$5M+0.1$0.5M-$5M
2036Ext / FA-deal$0.6M
Totals $9M $11M +$2M
Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
202421 ATampa Tarpons 6955 11201 11273 82 .200.362.291.653 .091.370 3916 .286 77 -2 +1 +0 -0 +2 0.1
202522 ATampa Tarpons 372327 7812115 401043 446 .239.327.388.715 .150.332 2811 .310 95 -2 +6 +0 -2 +11 1.3
▸ 2026 Season
202623 MLBNYY 320283 621137 30904 92 .219.303.353.656 .134.292 289 .296 85 -5 +1 +0 -2 +9 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%NYY 397352 7914310 381084 112 .224.307.366.674 .142.293 2710 .303 90 -4 +1 +0 -2 +11 0.6
202825 MLB 25%NYY 441390 8916411 431185 122 .228.313.374.687 .146.294 2710 .308 94 -3 +2 +0 -3 +12 0.9
202926 MLB 42%NYY 467413 9417412 461235 122 .228.312.375.688 .148.294 2610 .310 96 -2 +2 +0 -3 +13 1.0
203027 MLB 58%NYY 478423 9718412 471265 122 .229.314.376.690 .147.294 2610 .311 96 -2 +2 +0 -3 +14 1.0
203128 MLB 68%NYY 481425 9718412 481285 112 .228.314.374.688 .146.294 2710 .310 95 -3 +1 -1 -3 +14 0.9
203229 MLB 77%NYY 475419 9517412 481285 111 .227.314.372.686 .146.293 2710 .308 94 -3 +2 -1 -3 +13 0.8
203330 MLB 84%NYY 468413 9317412 471285 101 .225.312.373.685 .148.292 2710 .304 91 -5 +2 -2 -3 +13 0.5
203431 MLB 91%NYY 455401 8816311 461265 90 .219.308.357.664 .137.290 2810 .301 88 -6 +2 -3 -3 +13 0.3
203532 MLBNYY 438386 8415310 441245 90 .218.306.350.655 .132.289 2810 .296 85 -8 +2 -4 -3 +12 0.1
203633 MLBNYY 409361 771439 411184 80 .213.300.343.644 .130.287 2910 .291 81 -9 +2 -4 -2 +12 -0.3
203734 MLBNYY 365322 671237 361094 70 .208.296.329.625 .121.285 3010 .284 76 -10 +1 -5 -2 +10 -0.5
▸ Career Totals (MLE all levels + projections)
Career 56354970 111119953131 565155762 17322 .224.311.364.675 .140.296 2810 .303 90 -65 +26 -20 -34 +160 6.9
/ 162G 650573 12823615 651807 203 .223.310.363.673 .140.297 2810 .303 90 -7 +3 -2 -4 +18 0.8

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
202421 ATampa Tarpons 6951 13201 15183 82 .255.449.353.802 .098.375 2622 .382 151 +4 +1 +2 0.7
202522 ATampa Tarpons 372315 9614135 52733 446 .305.408.479.887 .175.381 2014 .392 158 +24 +6 +11 4.2

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
Marshall Toole (OGILVIE) 23 50 40 60 55 .218/.300/.352 .134.292 79 28% 9% 85 +0.4
Drew Avans
2019 · A
23 46→53 48→45 55→60 50 .231/.303/.373 .142.280 1517 23% 9% 90 +1.0 .223/.283/.346 .123.312 1221 31% 7% 75 -0.0 .223/.291/.339.116.32793332%8%71-0.2
Jakob Marsee
2023 · A
22 45→47 43→45 57→60 53 .214/.313/.328 .115.295 920 28% 11% 84 +0.6 .215/.314/.338 .123.272 1332 24% 11% 87 +0.8 .209/.308/.338.130.260144024%11%81+0.5
Victor Scott II
2023 · A
22 44→54 44→40 57→65 50 .214/.296/.341 .127.291 1019 28% 10% 79 +0.3 .226/.286/.327 .101.285 844 22% 6% 71 -0.3 .219/.283/.310.090.27674922%6%63-0.7
Garrett Mitchell
2022 · AA
23 47 45→50 56→60 48 .223/.306/.345 .122.333 1420 34% 10% 85 +0.7 .239/.311/.374 .135.355 1326 33% 9% 94 +1.3 .249/.323/.406.156.360163233%9%102+0.8
Juan Silva
2014 · A
23 47 42→45 51→55 49 .223/.298/.330 .106.304 920 28% 9% 77 +0.1 .226/.302/.321 .095.300 623 24% 10% 76 +0.1 .221/.301/.304.083.29142423%10%68-0.2
Logan Vick
2014 · A
23 48 41→45 51→50 56 .228/.322/.334 .106.302 715 25% 12% 89 +0.9 .195/.288/.290 .095.289 713 31% 11% 63 -0.8 .147/.251/.227.080.23161335%12%30-2.1
Leon Johnson
2008 · A
23 49 40 58→60 50 .230/.303/.328 .098.298 621 24% 9% 79 +0.3 .220/.286/.297 .077.280 417 21% 7% 63 -0.9 .202/.266/.223.021.24802217%6%32-0.7
Sal Frelick
2022 · A
22 52→60 41→45 55 48 .247/.306/.350 .103.310 716 22% 8% 85 +0.7 .264/.324/.374 .110.307 818 16% 7% 98 +1.6 .265/.329/.365.100.30672015%8%94+1.1
Richie Palacios
2021 · A
24 48→53 45→50 53→55 44 .238/.287/.362 .124.295 1311 24% 6% 80 +0.4 .243/.318/.373 .130.299 1018 21% 9% 97 +1.5 .241/.321/.375.134.285111718%9%95+1.0
Tristan Peters
2023 · AA
23 47→50 43→45 54→50 49 .225/.293/.348 .122.288 914 24% 8% 79 +0.3 .227/.293/.350 .123.284 1012 22% 8% 80 +0.4 .224/.293/.346.123.275101121%8%75+0.0
Wenceel Pérez
2023 · AA
23 47→49 46→50 57→55 46 .234/.288/.375 .142.285 1216 23% 7% 84 +0.6 .233/.295/.371 .138.286 1317 22% 8% 86 +0.8 .229/.296/.370.141.279141722%8%85+0.5
Elijah Dunham
2022 · A
24 44→43 48→50 55→60 45 .221/.293/.368 .147.294 1521 29% 8% 85 +0.7 .213/.285/.362 .149.289 1627 30% 8% 81 +0.4 .202/.276/.353.151.276172932%8%71-0.2
Roger Bernadina
2007 · A
23 44→54 41→45 52→60 46 .215/.281/.311 .096.281 920 26% 8% 65 -0.7 .249/.305/.347 .098.332 829 25% 7% 83 +0.6 .263/.320/.391.127.327123122%7%97+1.4
Michael Gigliotti
2019 · A
23 50 42→40 51→55 50 .241/.311/.348 .107.300 816 22% 8% 87 +0.8 .222/.285/.308 .086.299 522 26% 7% 66 -0.6 .192/.303/.306.114.265112429%11%73-0.1
Jermaine Mitchell
2008 · A
23 52→57 41→45 51→55 49 .244/.316/.346 .102.341 814 29% 10% 89 +0.9 .223/.294/.321 .098.328 815 31% 9% 73 -0.1 .245/.318/.375.129.337101828%9%92+1.1
Tucker Bradley
2022 · A
24 48→51 42→50 53→50 46 .229/.299/.338 .109.312 811 28% 8% 79 +0.3 .241/.306/.373 .132.315 1215 26% 8% 91 +1.1 .246/.311/.388.142.315141725%8%94+0.9
Carlo Testa
2011 · A
24 47→50 46→50 56→50 43 .228/.291/.368 .139.320 1216 31% 8% 83 +0.6 .221/.279/.353 .132.331 1215 35% 7% 75 -0.0 .213/.270/.345.132.324131536%6%66-0.4
LeVon Washington
2014 · A
23 52 41→45 52→50 48 .240/.315/.351 .111.340 714 29% 9% 89 +1.0 .237/.302/.345 .108.333 811 29% 8% 82 +0.5 .225/.288/.321.096.3157829%7%67-0.2
Nicky Lopez
2017 · A
22 47→57 42→40 56→55 51 .229/.303/.336 .107.265 917 17% 8% 81 +0.4 .248/.301/.331 .083.281 514 13% 6% 77 +0.1 .256/.317/.334.078.29441413%8%82+0.4
Cole Gillespie
2007 · A
23 49→57 46→50 52→50 51 .238/.315/.366 .127.293 1315 23% 9% 94 +1.3 .230/.310/.366 .136.297 1213 25% 9% 92 +1.2 .225/.307/.371.146.290131425%9%89+0.9