Hayden SengerC Syracuse Mets
INJURED · Reassigned to Minors (RM)
Age 29 R/R 6'1" / 210 lbs AAA H +5%HR +3% Svc 1.000 · Ctrl thru 2030 peak 0.6 · 2027
wRC+†70
AVG/OBP/SLG.203 / .259 / .304
PA120
HR2
K%30
BB%5
MLB%55%
BAT: -4.1 runs (wOBA-derived runs vs avg)-4BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +1.6 runs (Defensive runs vs avg)+2FLDPOS: +2.1 runs (Positional adjustment)+2POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
4040
PWR
4545
SPD
4545
EYE
3730
trajectory · 10 yrs
0.2peak
2027

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.000 yrs.days
Team Control Through   2030
First FA Year   2027
DEF 10%
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.0M+0.3$1M+$1M
2027Pre-Arb$0.8M+0.6$2M+$2M
2028Arb-1$1M+0.5$2M+$1M
2029Arb-2$1M+0.3$1M+$0.3M
2030Arb-3$1M
Totals $3M $7M +$4M

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
201821 ROKKingsport Mets 4136 11301 3112 00 .306.390.472.862 .167.417 277 .345 122 +1 +0 +0 +1 +1 0.3
201922 AColumbia Fireflies 353317 551514 128819 00 .174.247.265.512 .091.223 253 .222 28 -29 +0 +0 +6 +10 -1.3
202124 AA3 teams 292267 561625 151169 00 .210.275.341.616 .131.347 405 .267 62 -12 +0 +0 +5 +8 0.1
202225 AA2 teams 320295 571115 141339 30 .193.252.288.540 .095.327 424 .238 40 -22 +1 +0 +6 +9 -0.6
202326 AABinghamton Rumble Ponies 309272 42814 2512110 33 .154.251.235.486 .081.255 398 .225 30 -24 -1 +0 +6 +9 -1.1
202427 AAA2 teams 184167 33912 10554 00 .198.260.299.559 .102.279 305 .250 49 -11 +0 +0 +3 +5 -0.2
202528 AAA3 teams 292271 49414 11853 21 .181.221.247.468 .066.242 294 .209 18 -27 +0 +5 +5 +8 -0.8
▸ 2026 Season (actual · ROS · total)
202629 AAASyracuse Mets 4240 8104 2190 10 .200.238.525.763 .325.235 455 .307 93 -0 +0 +0 +1 +1 0.2
ROS29 MLBNYM 7873 15302 4251 10 .205.256.329.585 .123.278 325 .260 57 -4 +0 +2 +1 +2 0.2
TOT29 MLBNYM 120113 23406 6441 20 .204.250.398.648 .195.270 375 .277 70 -4 +0 +2 +2 +3 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202730 MLB 66%NYM 329302 631118 19905 31 .209.267.331.598 .123.266 276 .270 65 -13 +0 +4 +6 +9 0.7
202831 MLB 75%NYM 305279 591018 19844 10 .211.272.341.612 .129.267 286 .271 65 -12 +0 +3 +5 +9 0.6
202932 MLB 83%NYM 277254 53917 17774 00 .209.269.335.604 .126.266 286 .269 64 -11 +0 +2 +5 +8 0.4
203033 MLB 89%NYM 241221 46816 15683 00 .208.268.335.603 .127.266 286 .265 61 -11 +0 +1 +4 +7 0.1
203134 MLB 95%NYM 195179 36614 12572 00 .201.259.313.572 .112.264 296 .258 56 -10 +0 -1 +3 +6 -0.2
▸ Career Totals (MLE all levels + projections)
Career 32162933 5751131260 176101075 135 .196.259.304.564 .108.273 315 .250 49 -184 +1 +16 +57 +91 -1.9
/ 162G 650593 11623212 3620415 31 .196.259.302.561 .106.273 316 .250 49 -37 +0 +3 +12 +18 -0.4

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
201821 ROKKingsport Mets 4135 14401 482 00 .400.488.6001.088 .200.500 2010 .479 224 +6 +0 +1 0.7
201922 AColumbia Fireflies 353304 702114 256419 00 .230.328.345.673 .115.275 187 .306 93 -3 +0 +10 0.7
202124 AABinghamton Rumble Ponies 205181 461313 16627 00 .254.338.387.725 .133.368 308 .327 109 +2 +0 +6 0.8
202124 A+Brooklyn Cyclones 4743 13512 3161 00 .302.362.605.966 .302.440 346 .416 176 +4 +0 +1 0.6
202124 INTLSalt River Rafters 4031 6100 871 00 .194.375.226.601 .032.250 1820 .303 90 -0 +0 +1 0.1
202225 AAASyracuse Mets 2323 6100 070 00 .261.261.304.565 .043.375 300 .253 51 -1 +0 +1 -0.1
202225 AABinghamton Rumble Ponies 297265 631425 21999 30 .238.315.362.678 .125.356 337 .306 92 -3 +1 +8 0.7
202326 AABinghamton Rumble Ponies 309261 491115 369510 33 .188.309.295.604 .107.270 3112 .283 75 -9 -1 +9 -0.1
202427 AAASyracuse Mets 166147 371113 12394 00 .252.325.401.727 .150.321 237 .321 103 +1 +0 +5 0.5
202427 AABinghamton Rumble Ponies 1817 1000 160 00 .059.111.059.170 .000.091 336 .089 -74 -4 +0 +1 -0.3
202528 MLBNew York Mets 7872 13100 3221 00 .181.224.194.418 .014.255 284 .192 5 -8 +0 +5 +5 +2 0.5
202528 AAASyracuse Mets 182165 36315 10442 21 .218.270.339.609 .121.263 245 .268 63 -8 +0 +5 -0.2
202528 INTLTigres del Licey 3229 7301 260 00 .241.290.448.739 .207.261 196 .314 98 -0 +0 +1 0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career 7872 13100 3221 00 .181.224.194.418 .014.255 284 .192 5 -8 +0 +5 +5 +2 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
Hayden Senger (OGILVIE) 29 40 45 45 30 .203/.259/.304 .101.281 21 30% 5% 54 -0.3
Aramis Garcia
2023 · MLB
30 42→41 43→50 43→45 36 .212/.254/.318 .106.286 125 30% 4% 55 -1.4 .197/.247/.340 .143.272 207 34% 5% 59 -1.1 .174/.239/.321.147.23822637%6%49-0.8
Jeff Mathis
2012 · MLB
29 38→46 42→50 43→45 42 .194/.246/.295 .101.252 106 27% 6% 46 -2.0 .202/.253/.322 .120.270 134 29% 6% 56 -1.3 .213/.264/.317.104.2918128%6%54-0.4
Jason Delay
2023 · MLB
28 41 39→45 42→40 39 .202/.249/.290 .088.280 75 30% 5% 45 -2.1 .221/.277/.307 .086.290 55 24% 6% 62 -0.9 .215/.272/.281.066.2783222%6%49-0.6
Jesus Flores
2014 · MLB
29 37→38 41→50 42→30 38 .188/.221/.284 .095.238 93 26% 4% 31 -3.0 .199/.243/.300 .101.261 105 27% 5% 46 -2.0 .198/.236/.304.106.25915029%5%39-0.6
Grayson Greiner
2022 · MLB
29 40 44→45 47→30 40 .200/.262/.313 .113.299 134 36% 7% 58 -1.2 .195/.259/.307 .112.360 126 45% 7% 55 -1.4 .163/.227/.268.105.32115351%7%28-0.9
Ryan Jorgensen
2008 · MLB
29 40 43→45 48→30 42 .203/.254/.306 .103.259 115 26% 6% 52 -1.6 .220/.268/.351 .131.283 156 27% 6% 69 -0.4 .214/.263/.359.146.27418029%6%67-0.2
Joe Hudson
2020 · AAA
29 38 44→45 47→40 40 .194/.247/.308 .114.270 124 32% 6% 50 -1.7 .198/.255/.324 .126.283 165 34% 7% 57 -1.2 .183/.287/.336.152.26122836%11%73-0.0
Ryan Budde
2009 · MLB
29 41 43→45 47→40 40 .203/.257/.314 .110.269 108 28% 5% 56 -1.3 .196/.254/.290 .094.285 96 32% 7% 48 -1.9 .179/.247/.259.080.2718235%8%35-1.2
Joseph Odom
2021 · MLB
29 41 41→45 45→30 37 .200/.249/.295 .095.302 94 36% 6% 46 -2.0 .200/.263/.319 .119.360 136 44% 7% 59 -1.1 .171/.242/.298.127.33515350%7%43-0.6
Guillermo Quiroz
2012 · MLB
30 43 44→50 40→50 39 .215/.259/.334 .119.283 113 28% 5% 61 -1.0 .221/.274/.347 .126.289 133 27% 6% 71 -0.3 .219/.270/.335.116.28112126%5%63-0.3
Eli Whiteside
2010 · MLB
30 42 45→50 45→40 38 .212/.251/.334 .122.270 135 27% 4% 58 -1.2 .208/.262/.327 .119.269 126 26% 6% 61 -1.0 .190/.252/.288.098.2469325%6%44-0.7
Juan Brito
2006 · MLB
28 44 43→45 47→40 42 .220/.267/.325 .105.283 115 26% 6% 63 -0.9 .230/.277/.343 .113.300 124 26% 6% 71 -0.3 .232/.277/.338.106.30210026%5%67-0.2
Sebastian Valle
2019 · AAA
29 43→47 42→45 48→40 36 .207/.254/.309 .102.315 106 36% 6% 52 -1.6 .237/.305/.387 .150.300 177 26% 8% 95 +1.4 .235/.308/.390.155.29118425%8%95+1.0
Tyler Payne
2022 · AA
29 42 43→45 48→40 37 .209/.250/.322 .113.287 114 31% 4% 54 -1.4 .231/.271/.334 .103.320 85 29% 4% 66 -0.6 .238/.274/.333.095.3128225%4%62-0.3
Lucas May
2013 · MLB
28 38→42 45→55 44→45 37 .197/.240/.320 .124.267 126 31% 5% 50 -1.8 .199/.235/.300 .101.269 107 29% 4% 42 -2.3 .191/.231/.254.063.2578328%4%26-1.1
Carlos Corporán
2012 · MLB
28 41 42→45 43→40 39 .206/.260/.313 .107.269 104 27% 5% 56 -1.3 .229/.284/.359 .130.289 154 25% 5% 79 +0.3 .233/.289/.364.130.28717124%5%81+0.2
Jackson Williams
2015 · MLB
29 41 44→45 43→40 43 .207/.258/.318 .112.262 115 26% 6% 56 -1.3 .201/.256/.272 .071.258 54 23% 6% 44 -2.1 .186/.240/.231.045.2383122%6%24-1.5
Tommy Manzella
2012 · MLB
29 43→52 39→40 47→50 39 .210/.257/.292 .082.293 79 30% 6% 49 -1.8 .185/.236/.251 .066.305 48 38% 6% 29 -3.2 .165/.213/.205.041.2901441%6%5-2.3
Dan Butler
2016 · MLB
29 42→39 41→45 45→40 44 .208/.269/.310 .103.264 83 24% 6% 59 -1.1 .220/.283/.318 .098.283 83 24% 7% 68 -0.5 .214/.284/.310.095.2699022%8%63-0.3
Kevin Cash
2007 · MLB
29 39 45→40 42→30 39 .199/.257/.320 .121.273 134 32% 6% 58 -1.2 .194/.264/.310 .116.273 134 32% 8% 58 -1.2 .194/.267/.274.080.2659029%9%45-0.5