Jorbit Vivas2B Washington Nationals
Age 25 L/R 5'9" / 171 lbs MLB HR -9% Svc 0.326 · Ctrl thru 2031 peak 1.0 · 2027
wRC+†98
AVG/OBP/SLG.226 / .314 / .328
PA250
HR4
K%16
BB%9
MLB%100%
BAT: -0.5 runs (wOBA-derived runs vs avg)-1BATRUN: -0.6 runs (SB/CS + UBR baserunning)-1RUNFLD: +1.1 runs (Defensive runs vs avg)+1FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: +0.80+0.8WAR
Scouting · nowfuture
HIT
5050
PWR
3030
SPD
4545
FLD
4550
EYE
5360
trajectory · 10 yrs
1.2peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   0.326 yrs.days
Team Control Through   2031
First FA Year   2027
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M+0.8$3M+$2M
2027Pre-Arb$0.8M+1.0$8M+$7M
2028Pre-Arb$0.8M+1.0$8M+$8M
2029Arb-1$2M+1.0$9M+$7M
2030Arb-2$3M+0.8$4M+$0.6M
2031Arb-3$3M+0.6$3M+$0.0M (cut)
Totals $10M $35M +$25M

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
201817 ROKDSL Dodgers Robinson 217187 32810 155011 164 .171.272.225.497 .053.227 237 .225 30 -17 +2 +0 +1 +6 -0.9
201918 ROKAZL Dodgers Lasorda 137120 32811 8226 54 .267.343.375.718 .108.310 166 .308 94 -1 -1 +0 +0 +4 0.3
202019 INTLAguilas del Zulia 2928 8100 130 10 .286.310.321.632 .036.320 103 +0 +0
202120 A3 teams 499447 12520414 287620 95 .280.349.436.786 .157.307 156 .338 117 +9 -0 +0 +2 +14 2.6
202221 A+2 teams 604529 1221759 477622 21 .231.319.333.652 .102.251 138 .289 79 -14 +0 +0 +2 +17 0.5
202322 AA2 teams 612528 12823411 509027 255 .242.339.364.702 .121.270 158 .311 96 -3 +3 +0 +2 +17 2.0
202423 AAA4 teams 487425 821628 4610010 225 .193.287.296.583 .104.229 219 .267 62 -21 +2 +0 +2 +14 -0.3
202524 AAA3 teams 541473 1072114 487014 139 .226.316.300.616 .074.256 139 .282 74 -16 -1 -1 +2 +15 -0.1
▸ 2026 Season (actual · ROS · total)
202625 MLBWashington Nationals 6350 15300 674 01 .300.417.360.777 .060.341 1110 .343 121 +1 -0 +1 +0 +2 0.5
ROS25 MLBWSH 187162 38712 17296 42 .235.330.327.657 .093.270 169 .304 91 -2 +0 -0 +1 +5 0.4
TOT25 MLBWSH 250212 531012 233610 43 .250.351.335.686 .085.290 149 .314 98 -1 -0 +1 +1 +7 0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202726 MLBWSH 415362 871727 386212 94 .240.333.356.689 .116.268 159 .308 94 -3 +0 -1 +1 +12 1.0
202827 MLBWSH 421369 881727 386611 94 .238.328.352.680 .114.269 169 .309 95 -2 +0 -1 +2 +12 1.1
202928 MLBWSH 422369 881727 396811 83 .238.329.352.682 .114.270 169 .309 95 -3 +0 -2 +2 +12 1.0
203029 MLBWSH 414362 851627 386911 83 .235.326.348.674 .113.270 179 .307 93 -3 +0 -2 +1 +12 0.8
203130 MLBWSH 407356 831617 386910 72 .233.324.343.667 .110.269 179 .304 91 -4 +1 -3 +1 +12 0.7
203231 MLBWSH 392343 781516 366810 42 .227.319.329.648 .102.267 179 .300 88 -5 +0 -4 +1 +11 0.4
203332 MLBWSH 373327 731415 34679 31 .223.314.318.632 .095.266 189 .296 84 -7 +0 -4 +1 +11 0.1
203433 MLBWSH 343300 671315 31649 11 .223.315.323.638 .100.264 199 .290 80 -8 -0 -5 +1 +10 -0.2
203534 MLBWSH 299263 581114 27587 00 .221.310.316.625 .095.262 199 .284 75 -8 +0 -6 +1 +8 -0.4
▸ Career Totals (MLE all levels + projections)
Career 67995950 138125732104 5791107206 14655 .232.322.338.660 .106.267 169 .296 85 -115 +7 -28 +24 +193 8.3
/ 162G 650569 13225310 5510620 145 .232.321.339.661 .107.266 168 .296 85 -11 +1 -3 +2 +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
201817 ROKDSL Dodgers Robinson 217176 391110 263511 164 .222.357.295.652 .074.269 1612 .306 92 -2 +2 +6 0.6
201918 ROKAZL Dodgers Lasorda 137115 411121 13156 54 .357.448.513.961 .157.392 119 .419 178 +12 -1 +4 1.6
202019 INTLAguilas del Zulia 2928 8100 130 10 .286.310.321.632 .036.320 103 .287 78 -1 +0 +1 0.0
202120 A+Great Lakes Loons 10285 27601 13133 31 .318.426.424.849 .106.361 1313 .384 152 +6 +0 +3 0.9
202120 ARancho Cucamonga Quakes 375328 10220413 274217 53 .311.392.515.908 .204.322 117 .398 163 +27 -0 +11 3.8
202120 INTLAguilas del Zulia 2219 1000 330 11 .053.182.053.234 .000.062 1414 .136 -37 -3 -0 +1 -0.3
202221 A+Great Lakes Loons 570479 12919710 635821 21 .269.378.401.778 .132.285 1011 .351 127 +17 +0 +16 3.4
202221 INTLGlendale Desert Dogs 3427 9200 661 00 .333.471.407.878 .074.429 1818 .407 169 +3 +0 +1 0.4
202322 AAAOklahoma City Dodgers 121102 23211 15193 41 .225.342.294.636 .069.265 1612 .299 87 -2 +0 +3 0.2
202322 AATulsa Drillers 491404 11323212 545224 214 .280.394.436.829 .156.292 1111 .370 142 +23 +3 +14 4.0
202423 AAAScranton/Wilkes-Barre RailRiders 422347 781829 58709 205 .225.347.366.713 .141.254 1714 .323 106 +3 +2 +12 1.7
202423 A+Hudson Valley Renegades 1816 5100 230 00 .312.389.375.764 .062.385 1711 .350 126 +1 +0 +1 0.1
202423 ATampa Tarpons 1511 1000 331 10 .091.333.091.424 .000.125 2020 .249 49 -1 +0 +0 -0.0
202423 INTLAguilas del Zulia 3224 2000 610 10 .083.267.083.350 .000.080 319 .187 2 -4 +0 +1 -0.3
202524 MLBNew York Yankees 6656 9201 5133 00 .161.258.250.508 .089.190 208 .239 41 -4 +0 -1 +2 +2 -0.2
202524 AAAScranton/Wilkes-Barre RailRiders 459374 1012114 644511 129 .270.388.364.751 .094.295 1014 .343 121 +11 -1 +13 2.3
202524 INTLTigres de Aragua 1615 4100 030 10 .267.267.333.600 .067.333 190 .250 49 -1 +0 +0 -0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career 6656 9201 5133 00 .161.258.250.508 .089.190 208 .239 41 -4 +0 -1 +2 +2 -0.2

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
Jorbit Vivas (OGILVIE) 25 50 30 45 60 .233/.325/.331 .098.264 36 14% 9% 91 +0.5
Luis Guillorme
2020 · MLB
25 55→61 39→40 42→45 54 .260/.328/.347 .087.301 76 16% 9% 93 +1.3 .260/.340/.355 .095.312 87 17% 10% 101 +1.8 .255/.343/.324.069.3034116%11%88+0.4
Lou Marson
2011 · MLB
25 48→54 40 50 52 .229/.305/.324 .095.283 710 21% 9% 79 +0.3 .216/.299/.301 .085.278 511 22% 10% 70 -0.3 .224/.319/.289.065.2971922%12%72-0.1
Nicky Lopez
2020 · MLB
25 54→61 39→40 49→55 50 .254/.303/.341 .087.280 612 12% 6% 81 +0.4 .247/.307/.326 .079.286 414 14% 7% 79 +0.3 .245/.313/.305.060.28611914%8%73-0.1
Eric Sogard
2011 · AAA
25 53→58 40→45 46→55 53 .252/.313/.352 .100.284 711 14% 8% 89 +0.9 .249/.307/.350 .101.281 815 14% 7% 85 +0.7 .255/.340/.377.121.290111015%11%103+1.2
Chris Getz
2009 · AAA
25 53→56 41→40 49→60 50 .254/.302/.348 .094.281 814 13% 6% 82 +0.5 .250/.308/.331 .081.284 526 13% 7% 80 +0.4 .244/.307/.295.051.27713412%7%68-0.3
Boog Powell
2018 · MLB
25 55→58 41→40 48→50 49 .264/.321/.364 .100.316 815 19% 8% 95 +1.4 .231/.300/.328 .097.306 816 25% 9% 77 +0.1 .204/.284/.285.081.28961729%10%57-0.7
Mark Johnson
2001 · MLB
25 47 43→40 45→40 56 .228/.309/.342 .114.261 109 17% 10% 85 +0.7 .224/.308/.337 .113.255 116 16% 10% 83 +0.6 .237/.320/.314.077.2736115%10%81+0.1
L.J. Hoes
2015 · MLB
25 55→62 39→40 47→50 50 .258/.321/.351 .093.314 613 19% 8% 92 +1.2 .242/.302/.331 .089.293 717 19% 8% 79 +0.3 .241/.302/.321.081.28662017%7%72-0.2
Rossmel Perez
2015 · AAA
25 55→56 38→30 42→45 51 .258/.307/.334 .077.277 66 10% 6% 81 +0.4 .246/.289/.322 .076.270 56 11% 5% 69 -0.4 .244/.283/.286.042.265138%5%56-0.7
Greg Garcia
2015 · MLB
25 50→53 40 49→50 47 .238/.310/.334 .097.309 711 24% 8% 83 +0.6 .244/.325/.331 .087.313 511 22% 9% 89 +0.9 .241/.350/.334.093.3086321%13%99+0.8
Erik Komatsu
2013 · MLB
25 53→60 41→45 48→50 52 .254/.320/.354 .099.291 815 15% 8% 92 +1.2 .207/.271/.300 .093.261 911 23% 8% 58 -1.2 .161/.230/.253.092.212101128%8%27-1.7
Johnny Giavotella
2012 · MLB
25 55→59 41→45 49→50 48 .262/.308/.368 .106.300 712 16% 6% 90 +1.0 .259/.308/.363 .104.297 811 15% 6% 89 +0.9 .254/.307/.354.100.28781214%6%85+0.6
Callix Crabbe
2009 · MLB
26 50→53 40 50→55 53 .239/.310/.332 .093.283 618 17% 9% 82 +0.5 .210/.280/.299 .089.252 715 18% 8% 62 -0.9 .200/.269/.287.087.23571617%8%51-1.0
Adrian Cardenas
2012 · AAA
24 55→57 39→40 44→50 49 .263/.312/.356 .092.302 59 15% 6% 88 +0.9 .243/.300/.350 .107.284 610 16% 7% 82 +0.5 .232/.300/.352.120.2725716%9%80+0.2
Tzu-Wei Lin
2019 · MLB
25 48→49 41→45 46→50 45 .232/.282/.334 .101.290 710 22% 6% 70 -0.3 .223/.272/.323 .100.301 811 27% 6% 63 -0.8 .190/.250/.282.092.26481530%7%41-0.8
Taylor Dugas
2015 · AAA
25 56→61 36→30 46→50 53 .259/.339/.330 .070.305 310 15% 8% 94 +1.3 .238/.307/.307 .069.290 311 18% 7% 75 -0.0 .224/.290/.262.038.27301217%7%54-0.7
Cole Figueroa
2012 · AA
25 55→59 39→45 49→50 54 .261/.330/.354 .093.296 513 13% 9% 96 +1.5 .255/.313/.348 .093.278 59 10% 7% 87 +0.8 .257/.313/.343.086.276478%7%84+0.4
Jamie Johnson
2012 · AA
25 52→56 38→40 45→50 56 .240/.323/.325 .085.297 39 19% 11% 86 +0.8 .247/.321/.320 .073.297 313 16% 9% 83 +0.6 .248/.323/.315.066.29131514%10%82+0.4
JB Shuck
2012 · MLB
25 57→61 35→40 50 53 .267/.325/.333 .066.304 215 13% 8% 88 +0.9 .263/.314/.332 .069.293 314 10% 7% 82 +0.5 .260/.308/.342.082.28641210%6%80+0.2
Ramón Flores
2018 · MLB
26 51→57 42→45 51→50 53 .248/.319/.351 .103.294 99 19% 9% 91 +1.1 .235/.301/.340 .105.290 1010 21% 8% 80 +0.4 .219/.283/.304.085.2738622%8%62-0.3