Matt ScannellOF Vancouver Canadians
Age 24 L/L 5'11" / 205 lbs A+ HR +12%BB +4% Svc 0.0 · Ctrl thru 2035 peak 0.2 · 2029
wRC+†41
AVG/OBP/SLG.204 / .269 / .312
PA92
HR2
SB5
K%32
BB%7
MLB%0%
BAT: -6.2 runs (wOBA-derived runs vs avg)-6BATRUN: +1.0 runs (SB/CS + UBR baserunning)+1RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.6 runs (Positional adjustment)-1POSREP: +2.6 runs (Replacement-level credit)+3REPTotal WAR: -0.30-0.3WAR
trajectory · 10 yrs
0.2peak
2029

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+0.1$0.5M+$0.0M (cut)
2031Arb-3$0.9M
2032Ext / FA-deal$0.9M
2033Ext / FA-deal$0.2M
2034Ext / FA-deal$0.4M
2035Ext / FA-deal$0.6M
Totals $3M $-11M -$13M

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
202523 A+2 teams 7369 9102 3401 12 .130.178.232.410 .101.259 554 .180 -4 -9 -1 +0 -0 +2 -0.8
▸ 2026 Season (actual · ROS · total)
202624 A+Vancouver Canadians 4437 5200 5221 40 .135.256.189.445 .054.312 5011 .214 22 -4 +1 +0 -0 +1 -0.2
ROS24 MLBTOR 4843 9201 4161 10 .209.292.326.617 .116.292 338 .261 58 -2 +0 +0 -0 +1 -0.1
TOT24 MLBTOR 9280 14401 9382 50 .175.275.263.537 .088.310 4110 .238 41 -6 +1 +0 -1 +3 -0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202725 MLB 10%TOR 159142 30613 14442 41 .211.291.331.622 .120.281 289 .283 75 -5 +0 +0 -1 +5 -0.1
202826 MLB 25%TOR 256229 501016 22703 61 .218.295.349.645 .131.283 279 .291 81 -6 +1 +0 -2 +7 0.1
202927 MLB 43%TOR 313278 611227 28864 81 .219.300.353.653 .133.284 279 .292 82 -6 +1 +0 -2 +9 0.2
203028 MLB 52%TOR 349311 681328 31964 81 .219.298.350.648 .132.284 289 .292 82 -7 +1 -1 -2 +10 0.1
203129 MLB 63%TOR 365325 701428 331014 81 .215.296.345.640 .129.283 289 .290 80 -8 +1 -1 -2 +10 -0.0
203230 MLB 73%TOR 374333 711428 341054 71 .213.294.339.633 .126.281 289 .287 78 -9 +1 -2 -2 +11 -0.2
203331 MLB 90%TOR 368328 691328 331054 50 .210.290.335.626 .125.280 299 .283 75 -10 +1 -3 -2 +10 -0.4
203432 MLBTOR 355316 661327 321034 30 .209.290.329.619 .120.278 299 .278 71 -12 +1 -4 -2 +10 -0.7
203533 MLBTOR 329294 581116 29983 20 .197.276.303.579 .105.277 309 .273 67 -12 +0 -4 -2 +9 -0.9
203634 MLBTOR 288258 511015 25883 10 .198.276.302.579 .105.275 319 .267 62 -12 +0 -5 -2 +8 -1.1
▸ Career Totals (MLE all levels + projections)
Career 32772926 6121191669 28895237 548 .209.288.332.620 .122.283 299 .281 73 -99 +8 -20 -20 +93 -3.9
/ 162G 650580 12224314 571897 112 .210.288.334.623 .124.284 299 .281 73 -20 +1 -4 -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
202523 A+Vancouver Canadians 4341 7001 2160 01 .171.209.244.453 .073.250 375 .207 17 -4 -0 +1 -0.3
202523 ADunedin Blue Jays 3026 7202 3111 11 .269.367.577.944 .308.385 3710 .409 171 +2 -0 +1 0.3

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
Matt Scannell (OGILVIE) 24 .204/.269/.312 .108.290 22 32% 7% 61 -0.1
Chris Meyers
2023 · A
24 42→46 44→50 51→40 43 .212/.273/.333 .122.278 129 28% 7% 67 -0.5 .228/.285/.377 .149.300 185 29% 6% 85 +0.7 .226/.286/.378.152.29419329%6%82+0.3
Grant Witherspoon
2021 · A
24 40→45 40→55 52→50 40 .196/.247/.290 .094.271 812 30% 6% 44 -2.1 .219/.273/.373 .154.297 1913 32% 7% 78 +0.2 .216/.275/.377.161.291211432%7%77+0.1
Matthew Sweeney
2012 · AA
24 36→41 44→50 49→45 41 .183/.249/.300 .117.266 124 34% 7% 50 -1.8 .198/.255/.308 .110.279 106 31% 7% 53 -1.5 .212/.252/.322.110.2746024%5%52-0.3
Gabe Matthews
2022 · AAA
24 42→41 44→50 50→40 41 .203/.279/.321 .119.305 118 35% 8% 68 -0.5 .196/.285/.334 .138.297 164 37% 9% 75 -0.0 .184/.284/.322.138.27717237%9%69-0.3
Brian O'Grady
2016 · A
24 40→39 43→60 54→50 48 .198/.276/.315 .117.263 1014 28% 9% 64 -0.8 .194/.274/.318 .124.270 1214 31% 9% 65 -0.7 .210/.274/.401.191.276231532%7%84+0.5
Travis Blankenhorn
2021 · AA
24 42→43 48→55 51→50 36 .214/.257/.351 .137.291 169 32% 5% 66 -0.6 .221/.282/.380 .159.297 199 31% 7% 84 +0.6 .211/.283/.380.168.27621631%8%81+0.3
Mark Contreras
2019 · A
24 40→38 42→50 47→55 38 .195/.256/.302 .107.293 911 35% 6% 53 -1.5 .185/.248/.308 .123.276 1213 36% 6% 51 -1.7 .199/.260/.339.140.286172435%6%61-0.7
Gage Green
2017 · A
24 44 40→45 46→50 41 .212/.273/.302 .090.284 810 28% 6% 59 -1.1 .205/.263/.291 .086.276 78 27% 6% 53 -1.5 .174/.224/.236.062.2260022%4%24-0.6
Nick Maton
2021 · AA
24 42→41 41→50 45 43 .206/.265/.304 .098.278 88 28% 7% 56 -1.3 .212/.292/.338 .126.286 127 28% 9% 77 +0.1 .214/.305/.368.154.26418425%10%88+0.6
DaShawn Keirsey Jr.
2022 · A
25 35→45 45→50 53→60 40 .180/.251/.302 .122.279 1314 38% 8% 50 -1.7 .231/.283/.350 .119.327 1131 31% 6% 76 +0.0 .245/.299/.367.122.338113629%6%83+0.5
Shayne Fontana
2022 · AA
25 41 42→45 48→55 46 .197/.276/.303 .106.284 99 32% 9% 61 -1.0 .215/.297/.325 .110.300 1114 30% 9% 76 +0.1 .222/.305/.326.104.296111927%8%77+0.1
John Rave
2022 · A
24 42→43 46→50 53→50 39 .205/.270/.332 .127.311 1513 37% 7% 66 -0.6 .215/.283/.352 .137.306 1615 33% 8% 77 +0.1 .214/.283/.361.147.282161729%8%76+0.0
Oliver Dunn
2022 · AA
24 39→47 44→50 52→55 45 .189/.271/.304 .115.294 1113 37% 10% 59 -1.1 .219/.303/.372 .153.347 1614 37% 10% 90 +1.0 .205/.288/.342.137.315132036%9%73-0.1
Ryan Schimpf
2012 · A
24 38→39 46→60 51→45 40 .193/.263/.329 .136.276 138 33% 7% 63 -0.9 .199/.276/.370 .171.267 205 32% 8% 79 +0.3 .201/.284/.419.218.23528228%9%91+0.9
Mike Papi
2017 · AA
24 39→47 44→45 44→45 48 .193/.275/.309 .117.272 115 31% 10% 63 -0.8 .217/.294/.333 .116.291 125 27% 9% 76 +0.1 .219/.297/.324.105.28811426%9%74-0.0
Kevin Rivers
2013 · A
24 42→45 45→50 46→45 44 .207/.279/.331 .124.288 127 31% 8% 70 -0.3 .214/.277/.345 .131.297 126 30% 8% 72 -0.2 .210/.272/.344.134.28611429%8%67-0.4
Caleb Roberts
2023 · AA
23 40→43 42→50 50 42 .194/.271/.297 .103.298 912 36% 8% 58 -1.2 .202/.279/.332 .130.296 1211 33% 8% 70 -0.3 .195/.272/.328.134.276131032%8%64-0.6
Tanner Allen
2022 · A
24 41 42→45 45 43 .204/.257/.308 .104.256 107 25% 6% 53 -1.5 .202/.257/.299 .097.248 96 22% 6% 51 -1.7 .200/.259/.296.096.2459721%6%47-0.9
Quincy Hamilton
2022 · A
24 46→45 40→50 51→50 46 .221/.294/.312 .091.301 815 28% 8% 71 -0.3 .219/.299/.359 .140.283 1615 27% 9% 85 +0.7 .205/.290/.355.150.260171427%9%78+0.1
Robert Neustrom
2021 · A
24 43→44 43→50 49→50 41 .214/.260/.328 .113.280 117 27% 6% 60 -1.0 .219/.273/.360 .141.270 1512 24% 6% 74 -0.1 .212/.269/.359.147.253171423%6%69-0.3