Arjun Nimmala — OGILVIE

Arjun NimmalaSS Vancouver Canadians

Age 20 R/R 6'0" / 190 lbs A+ HR +12%BB +4% Svc 0.0 · Ctrl thru 2034 peak 3.0 · 2032

wRC+†63

AVG/OBP/SLG.192 / .262 / .345

PA320

HR9

SB5

K%35

BB%7

MLB%4%

Scouting · now → future

HIT

36↗45

PWR

46↗58

SPD

52↘50

FLD

43↗52

EYE

44↗51

trajectory · 10 yrs

3.1peak

2032

Contract

ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	+2.1	$18M	+$18M
2030	Arb-2	$0.9M	+2.6	$23M	+$23M
2031	Arb-3	$0.9M	+2.9	$27M	+$26M
2032	Ext / FA-deal	$6M	+3.0	$29M	+$22M
2033	Ext / FA-deal	$10M	+3.0	$30M	+$19M
2034	Ext / FA-deal	$14M	+2.9	$29M	+$15M
Totals		$34M		$156M	+$123M

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.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	ROK	FCL Blue Jays	40	30	5	1	1	0	9	11	1	1	0	.167	.375	.267	.642	.100	.263	28	22	.282	74	-1	+0	+0	+0	+1	0.1
2024	18	A	2 teams	391	350	60	16	4	13	29	163	9	9	1	.171	.253	.351	.604	.180	.266	42	7	.260	58	-19	+1	+0	+4	+11	-0.2
2025	19	A+	Vancouver Canadians	543	496	85	23	2	12	32	170	9	17	3	.171	.235	.298	.533	.127	.228	31	6	.233	37	-39	+2	+0	+6	+15	-1.6
▸ 2026 Season (actual · ROS · total)
2026	20	A+	Vancouver Canadians	71	63	10	4	0	2	6	27	1	1	1	.159	.243	.317	.560	.159	.229	38	8	.262	59	-3	-0	+0	+1	+2	-0.1
ROS	20	MLB	TOR	249	225	42	11	1	7	18	87	4	4	1	.187	.259	.338	.597	.151	.267	35	7	.270	65	-10	+0	-0	+3	+7	0.0
TOT	20	MLB	TOR	320	288	52	15	1	9	24	114	5	5	2	.181	.256	.333	.589	.153	.257	36	8	.268	63	-13	+0	-0	+3	+9	-0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 15%	TOR	551	495	100	25	3	17	43	177	8	11	3	.202	.277	.368	.644	.166	.269	32	8	.285	76	-15	+1	-0	+6	+16	0.8
2028	22	MLB 31%	TOR	603	540	112	27	3	20	49	189	9	13	3	.207	.284	.380	.664	.172	.274	31	8	.296	85	-10	+1	-0	+6	+17	1.5
2029	23	MLB 51%	TOR	640	571	122	29	3	23	54	195	10	14	3	.214	.293	.396	.689	.182	.276	30	8	.306	92	-6	+2	-0	+7	+18	2.1
2030	24	MLB 70%	TOR	663	591	129	30	4	25	57	199	10	14	3	.218	.298	.409	.707	.191	.278	30	9	.313	97	-2	+2	-0	+7	+19	2.6
2031	25	MLB 86%	TOR	676	601	132	30	4	27	60	201	10	14	3	.220	.301	.418	.719	.198	.279	30	9	.317	101	+1	+2	-0	+7	+19	2.9
2032	26	MLB	TOR	681	604	134	31	4	27	62	203	10	14	3	.222	.305	.421	.725	.199	.279	30	9	.319	103	+2	+2	-0	+7	+19	3.0
2033	27	MLB	TOR	680	603	132	30	4	27	62	203	10	13	3	.219	.302	.416	.718	.197	.279	30	9	.319	103	+2	+1	-0	+7	+19	3.0
2034	28	MLB	TOR	674	597	130	30	3	27	62	203	10	12	2	.218	.302	.414	.716	.196	.279	30	9	.318	102	+1	+2	-1	+7	+19	2.9
2035	29	MLB	TOR	663	586	126	29	3	26	62	201	10	11	2	.215	.301	.408	.709	.193	.278	30	9	.316	100	+0	+1	-2	+7	+19	2.6
2036	30	MLB	TOR	652	576	123	28	3	25	61	200	10	10	1	.214	.300	.403	.703	.189	.276	31	9	.313	98	-2	+2	-2	+7	+18	2.4
2037	31	MLB	TOR	638	565	119	27	3	24	59	199	9	8	0	.211	.295	.396	.692	.186	.274	31	9	.309	95	-4	+2	-3	+7	+18	2.0
2038	32	MLB	TOR	619	548	114	26	3	23	57	196	9	7	0	.208	.293	.392	.685	.184	.272	32	9	.304	91	-6	+1	-4	+7	+18	1.6
2039	33	MLB	TOR	590	523	106	24	3	21	54	191	8	6	0	.203	.287	.380	.668	.178	.270	32	9	.299	87	-9	+1	-4	+6	+17	1.1
2040	34	MLB	TOR	541	478	95	22	2	18	50	180	8	6	0	.199	.285	.366	.652	.167	.268	33	9	.292	81	-11	+1	-5	+6	+15	0.6
2041	35	MLB	TOR	484	430	83	19	2	16	44	165	7	5	0	.193	.279	.358	.637	.165	.265	34	9	.283	75	-14	+1	-6	+5	+14	0.0
2042	36	MLB	TOR	422	375	70	16	2	13	38	149	6	5	0	.187	.272	.344	.616	.157	.261	35	9	.274	68	-15	+1	-6	+5	+12	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			11000	9784	2019	474	57	391	962	3482	167	194	31	.206	.288	.386	.675	.180	.273	32	9	.300	87	-156	+26	-35	+118	+312	27.0
/ 162G	—			650	578	119	28	3	23	57	206	10	11	2	.206	.288	.384	.672	.178	.273	32	9	.300	87	-9	+1	-2	+7	+18	1.6

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.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2023	17	ROK	FCL Blue Jays	40	25	5	1	1	0	14	8	1	1	0	.200	.500	.320	.820	.120	.294	20	35	.403	166	+3	+0	—	—	+1	0.4
2024	18	A	Dunedin Blue Jays	361	319	74	18	6	16	30	113	9	9	1	.232	.316	.476	.792	.245	.301	31	8	.345	122	+9	+1	—	—	+10	2.1
2024	18	ROK	FCL Blue Jays	30	21	5	2	1	1	9	7	0	0	0	.238	.467	.571	1.038	.333	.308	23	30	.448	201	+3	+0	—	—	+1	0.4
2025	19	A+	Vancouver Canadians	543	473	106	29	3	13	55	116	9	17	3	.224	.317	.381	.697	.156	.266	21	10	.312	97	-2	+2	—	—	+15	1.6

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	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Arjun Nimmala (OGILVIE)	20	36→45	46→58	52→50	51	.192/.262/.345	.152	.274	9	6	35%	7%	68	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jackson Chourio 2023 · AA	19	42→52	49→55	51→55	38	.217/.265/.368	.151	.302	17	12	34%	6%	73	-0.1	.249/.293/.411	.162	.315	18	23	26%	6%	96	+1.5	.261/.307/.430	.168	.314	19	26	23%	6%	101	+1.8
●Andy Pages 2021 · A	20	41→51	47→60	46→45	46	.210/.298/.347	.138	.263	15	10	26%	8%	83	+0.6	.215/.301/.412	.197	.284	25	6	32%	9%	101	+1.8	.261/.318/.433	.172	.316	21	10	23%	6%	110	+1.8
✕Agustín Ramírez 2023 · A	21	43→45	45→55	50	43	.213/.273/.339	.126	.289	12	10	30%	7%	69	-0.4	.229/.292/.389	.160	.276	19	13	24%	8%	90	+1.0	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Alonzo Harris 2009 · A	20	44→50	45→55	50→60	40	.221/.276/.342	.121	.296	13	11	29%	6%	71	-0.3	.205/.243/.307	.102	.275	11	12	29%	4%	46	-2.0	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
●Jo Adell 2019 · AA	20	46→44	51→65	54→50	37	.230/.278/.398	.168	.315	18	12	32%	5%	86	+0.8	.220/.270/.377	.157	.318	18	10	35%	5%	78	+0.2	.218/.285/.446	.228	.252	34	12	29%	7%	101	+1.4
●Jerry Sands 2009 · A	21	37→46	49→60	51→45	45	.195/.277/.339	.144	.267	18	8	33%	9%	72	-0.2	.231/.297/.425	.194	.284	25	6	27%	8%	102	+1.9	.233/.299/.438	.204	.278	26	7	26%	8%	105	+1.8
●Trevor Story 2013 · A	20	40→50	46→65	53→55	41	.204/.264/.340	.136	.276	13	11	30%	7%	66	-0.6	.192/.252/.330	.138	.298	14	15	38%	7%	58	-1.2	.270/.336/.500	.231	.327	29	25	26%	8%	134	+3.6
✕Kevin Padlo 2016 · A	20	39→40	46→55	50	46	.198/.273/.333	.136	.268	13	8	30%	8%	68	-0.5	.186/.271/.313	.127	.268	12	8	33%	10%	63	-0.9	.191/.263/.361	.170	.260	21	12	35%	8%	69	-0.3
✕Thomas Saggese 2022 · A	20	44→54	48→55	51→50	42	.211/.284/.355	.144	.327	16	12	38%	9%	78	+0.2	.229/.279/.381	.152	.311	17	10	31%	6%	82	+0.5	.235/.288/.373	.139	.314	16	8	29%	5%	82	+0.4
●Gary Sánchez 2013 · A	20	43→51	50→65	47→45	37	.223/.267/.374	.151	.302	18	8	32%	5%	76	+0.0	.229/.278/.368	.139	.290	17	5	26%	6%	79	+0.3	.232/.315/.480	.248	.254	37	1	26%	9%	119	+2.3
✕Francisco Murillo 2007 · A	20	42	47→50	49→50	43	.213/.279/.345	.133	.294	15	8	32%	8%	73	-0.1	.199/.259/.322	.123	.301	13	6	36%	7%	59	-1.1	.150/.210/.278	.128	.229	14	3	40%	6%	26	-1.2
✕Eric Haase 2014 · A	21	41	47→65	46→40	39	.204/.257/.342	.138	.299	14	4	36%	7%	63	-0.9	.195/.250/.342	.147	.292	16	3	37%	6%	60	-1.0	.218/.277/.437	.219	.284	32	2	35%	7%	94	+0.9
●Dilson Herrera 2014 · A	20	43→53	45→50	49→50	40	.213/.264/.339	.126	.281	12	11	28%	6%	65	-0.7	.248/.297/.383	.135	.313	14	13	24%	6%	90	+1.0	.257/.307/.397	.140	.313	15	13	22%	6%	94	+1.2
✕Max Muncy 2023 · A	20	38→46	48→45	50	41	.192/.267/.331	.138	.299	16	12	39%	8%	65	-0.7	.212/.277/.338	.126	.320	13	10	36%	7%	71	-0.3	.217/.280/.344	.127	.316	14	8	34%	6%	71	-0.2
✕Max Stassi 2011 · A	20	39→43	45→55	43→40	38	.194/.254/.315	.121	.302	13	5	39%	7%	55	-1.4	.211/.269/.347	.136	.289	16	4	31%	6%	69	-0.4	.208/.295/.359	.151	.271	20	0	30%	10%	81	+0.2
✕Carlos Jimenez 2023 · A	20	38→41	46→50	53→55	45	.189/.278/.319	.129	.289	14	15	37%	10%	67	-0.5	.210/.289/.331	.121	.326	12	16	36%	9%	74	-0.1	.216/.296/.349	.133	.314	15	19	33%	9%	78	+0.1
✕Sean Coyle 2012 · A	20	38→36	49→50	53→50	42	.198/.271/.352	.155	.274	16	13	33%	7%	72	-0.2	.199/.257/.341	.142	.284	16	13	34%	6%	63	-0.8	.197/.258/.362	.165	.284	22	15	38%	7%	67	-0.3
✕Jorge Alfaro 2014 · A	21	40→50	46→50	51→50	33	.203/.255/.338	.135	.299	14	11	36%	4%	62	-0.9	.213/.261/.347	.134	.308	14	7	34%	4%	66	-0.6	.259/.315/.406	.147	.380	19	6	35%	5%	97	+0.8
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
✕Noelvi Marte 2022 · A	20	45→53	50	51→55	43	.227/.286/.379	.153	.297	17	14	29%	7%	85	+0.7	.232/.294/.366	.134	.298	15	17	26%	7%	85	+0.7	.241/.288/.377	.137	.301	14	21	24%	5%	83	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)