Axel SanchezSS Everett AquaSox
Age 23 R/R 6'0" / 185 lbs A+ HR +3% Svc 0.0 · Ctrl thru 2035 peak 0.4 · 2030
wRC+†58
AVG/OBP/SLG.175 / .241 / .278
PA251
HR5
SB9
K%38
BB%7
MLB%0%
BAT: -11.9 runs (wOBA-derived runs vs avg)-12BATRUN: +1.2 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.7 runs (Positional adjustment)+3POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
2025
PWR
3843
SPD
5257
EYE
4247
trajectory · 10 yrs
0.4peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.4$2M+$0.9M
2031Arb-3$0.9M+0.2$0.9M+$0.0M
2032Ext / FA-deal$0.9M+0.1$0.5M-$0.5M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $4M $-2M -$6M
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
202118 ROKDSL Mariners 191170 33401 12676 154 .194.271.235.507 .041.308 356 .222 28 -16 +1 +0 +2 +5 -0.7
202219 A3 teams 285260 531239 17997 133 .204.271.377.648 .173.288 356 .276 69 -10 +1 +0 +3 +8 0.3
202320 A+Everett AquaSox 305281 381025 171207 144 .135.203.238.442 .103.212 396 .196 8 -32 +1 +0 +3 +9 -1.9
202421 A+Everett AquaSox 393359 53523 201556 159 .148.205.198.403 .050.240 395 .181 -3 -46 -1 +0 +4 +11 -3.2
202522 AA2 teams 162142 26705 14593 34 .183.270.338.608 .155.263 369 .265 61 -7 -1 +0 +2 +5 -0.2
▸ 2026 Season (actual · ROS · total)
202623 A+Everett AquaSox 4237 9102 4131 30 .243.333.432.766 .189.318 3110 .331 111 +1 +1 +0 +0 +1 0.3
ROS23 MLBSEA 209190 34614 14773 62 .179.246.284.531 .105.275 377 .247 47 -12 +0 +0 +2 +6 -0.4
TOT23 MLBSEA 251227 43716 18904 92 .189.261.308.569 .119.280 367 .261 58 -12 +1 +0 +3 +7 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%SEA 317286 561018 241044 83 .196.268.322.589 .126.272 338 .266 62 -14 +0 +0 +3 +9 -0.1
202825 MLB 25%SEA 375337 6812210 301205 104 .202.277.338.615 .136.275 328 .273 67 -14 +0 +0 +4 +11 0.1
202926 MLB 43%SEA 413370 7513211 341306 114 .203.280.338.618 .135.276 318 .278 71 -14 +1 +0 +4 +12 0.3
203027 MLB 58%SEA 428383 7814211 361346 114 .204.282.337.619 .133.277 318 .279 72 -14 +1 +0 +5 +12 0.4
203128 MLB 68%SEA 434389 7914211 361376 104 .203.281.334.615 .131.276 328 .278 71 -14 +0 -1 +5 +12 0.2
203229 MLB 77%SEA 430385 7814211 361376 93 .203.281.335.616 .132.275 328 .276 69 -15 +1 -1 +5 +12 0.1
203330 MLB 94%SEA 425380 7613211 361376 83 .200.280.332.611 .132.274 328 .273 67 -16 +0 -2 +5 +12 -0.1
203431 MLBSEA 413370 7213110 351355 72 .195.273.316.589 .122.272 338 .269 64 -17 +1 -3 +4 +12 -0.3
203532 MLBSEA 396355 681219 331315 52 .192.270.307.577 .115.270 338 .264 60 -18 +0 -4 +4 +11 -0.6
203633 MLBSEA 367328 621118 311245 42 .189.269.302.571 .113.269 348 .259 56 -18 +0 -4 +4 +10 -0.8
203734 MLBSEA 323289 53917 271124 41 .183.263.294.557 .111.267 358 .252 51 -18 +0 -5 +3 +9 -1.0
▸ Career Totals (MLE all levels + projections)
Career 58665274 100217925134 452197890 15358 .190.265.310.575 .120.272 348 .258 56 -293 +7 -20 +63 +166 -7.8
/ 162G 650584 11220315 5021910 176 .192.267.313.580 .122.274 348 .258 56 -32 +1 -2 +7 +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
202118 ROKDSL Mariners 191162 42701 20466 154 .259.362.321.683 .062.350 2410 .315 99 -0 +1 +5 0.7
202219 A+Everett AquaSox 3434 8100 090 00 .235.235.265.500 .029.320 260 .224 30 -3 +0 +1 -0.2
202219 AModesto Nuts 152131 401328 15426 41 .305.401.6181.020 .313.395 2810 .440 195 +16 +0 +4 2.1
202219 ROKACL Mariners 9986 23522 11201 92 .267.357.442.799 .174.323 2011 .352 128 +3 +1 +3 0.7
202320 A+Everett AquaSox 305272 541537 26897 144 .199.285.353.638 .154.267 299 .289 79 -7 +1 +9 0.3
202421 A+Everett AquaSox 393344 68725 351116 159 .198.283.273.556 .076.268 289 .255 54 -21 -1 +11 -1.0
202522 AAArkansas Travelers 11499 24504 12301 33 .242.330.414.744 .172.303 2611 .328 109 +1 -1 +3 0.4
202522 A+Everett AquaSox 4837 4301 8152 01 .108.298.270.568 .162.136 3117 .271 65 -2 -0 +1 -0.1

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
Axel Sanchez (OGILVIE) 23 20→25 38→43 52→57 47 .175/.241/.278 .103.271 56 38% 7% 40 -1.0
Blake Hunt
2022 · AA
23 36 43→50 49→40 40 .184/.244/.291 .107.270 104 35% 7% 44 -2.1 .200/.256/.326 .126.277 134 32% 6% 59 -1.1 .206/.268/.347.141.26215227%6%67-0.3
Johan Lopez
2023 · AA
23 39 44→45 51→55 40 .195/.268/.308 .113.290 1213 35% 7% 59 -1.1 .200/.270/.300 .100.307 912 35% 8% 58 -1.2 .166/.253/.240.073.27641137%10%33-0.6
Corey Joyce
2022 · AA
23 41 39→45 53→50 39 .193/.262/.274 .080.300 713 36% 7% 48 -1.9 .208/.307/.328 .120.294 1212 31% 10% 82 +0.5 .212/.315/.318.105.30191429%10%80+0.2
Dylan Neuse
2023 · A
24 37 39→40 49→50 44 .183/.260/.264 .081.271 814 33% 9% 45 -2.1 .205/.286/.296 .091.292 713 29% 9% 63 -0.8 .211/.301/.305.094.29351327%10%72-0.1
Jason Lopez
2022 · AA
24 38 42→50 52→45 40 .189/.250/.291 .102.286 1011 36% 7% 46 -2.0 .204/.266/.313 .109.307 119 35% 7% 59 -1.1 .164/.224/.258.094.23510033%7%25-0.6
Kendall Simmons
2023 · A
23 36 47→50 49→50 38 .190/.256/.326 .136.273 1510 35% 6% 59 -1.1 .205/.269/.352 .147.297 179 35% 6% 72 -0.2 .199/.264/.350.151.29018736%6%66-0.2
Steven Baron
2014 · A
23 36 40→45 52→50 36 .183/.218/.281 .098.255 79 31% 4% 30 -3.1 .212/.258/.297 .085.293 59 28% 6% 50 -1.7 .233/.289/.308.075.3134825%7%63-0.4
Grae Kessinger
2022 · AA
24 37→29 42→45 48→50 42 .191/.254/.286 .095.257 1114 30% 7% 47 -1.9 .192/.267/.310 .118.259 1415 30% 8% 59 -1.1 .186/.266/.299.113.246141429%9%54-0.9
Nick Quintana
2021 · A
23 39→40 39→45 49→45 37 .187/.241/.273 .085.291 69 36% 6% 37 -2.6 .183/.266/.292 .109.257 115 31% 9% 55 -1.4 .165/.258/.271.106.22711331%10%44-1.1
Taylor Snyder
2018 · A
23 36→32 44→55 47→50 33 .188/.230/.306 .119.276 1212 36% 4% 42 -2.3 .190/.235/.310 .120.293 1212 38% 5% 45 -2.1 .185/.235/.340.155.265191237%5%52-1.1
Juan Uriarte
2021 · A
23 38 41→45 48→30 32 .190/.229/.285 .095.284 96 36% 4% 36 -2.7 .195/.244/.278 .083.290 66 33% 4% 40 -2.4 .151/.199/.200.049.2340033%2%-2-1.2
Ismael Alcantara
2023 · AA
24 40→30 46→45 50 37 .202/.259/.333 .131.288 1412 34% 6% 62 -0.9 .210/.268/.306 .096.313 917 34% 6% 58 -1.2 .216/.274/.290.074.33172435%6%53-1.0
Kevin Padlo
2019 · A
23 36→40 44→55 45→50 45 .183/.265/.303 .120.269 117 35% 9% 57 -1.2 .201/.280/.365 .164.291 199 35% 9% 80 +0.4 .191/.263/.361.170.260211235%8%69-0.3
Ryan Bliss
2023 · A
23 36→46 44→45 51→60 39 .187/.243/.297 .111.259 1221 32% 6% 46 -2.0 .218/.284/.349 .131.292 1237 28% 7% 76 +0.1 .226/.298/.368.142.297134927%8%84+0.6
Yusuf Carter
2008 · A
23 36→34 46→50 48→50 31 .189/.222/.315 .126.290 159 40% 4% 40 -2.4 .213/.254/.357 .144.303 1711 34% 5% 66 -0.6 .219/.264/.370.151.296191032%5%70-0.2
Carson Blair
2013 · A
23 35 43→50 43→30 38 .178/.239/.287 .110.282 106 39% 7% 41 -2.3 .197/.269/.330 .133.320 124 39% 8% 66 -0.6 .192/.271/.336.144.31514140%9%65-0.3
Narciso Crook
2018 · A
23 39→43 43→55 49→50 34 .195/.236/.304 .109.284 1110 35% 4% 43 -2.2 .215/.267/.339 .124.312 1111 33% 5% 66 -0.6 .199/.278/.357.158.302191538%7%73-0.1
Raul Beracierta
2022 · A
23 42 44→50 50 38 .206/.263/.332 .126.313 118 36% 6% 63 -0.9 .226/.273/.356 .130.336 155 35% 5% 73 -0.1 .235/.278/.368.133.34318136%4%73-0.1
Joe Donovan
2023 · A
24 35 44→45 51→40 35 .177/.247/.290 .113.289 127 41% 6% 46 -2.0 .195/.252/.305 .110.307 105 38% 5% 52 -1.6 .196/.250/.311.115.29410035%4%49-0.7
Tucker Mitchell
2023 · A
22 38 43→50 51→45 35 .183/.259/.287 .104.311 1111 42% 6% 51 -1.7 .198/.263/.310 .112.287 137 34% 6% 58 -1.2 .185/.242/.280.095.26113533%5%38-1.0