Jack Suwinski — OGILVIE

Jack SuwinskiRF Oklahoma City Comets

Age 28 L/L 6'1" / 217 lbs AAA HR +15%K -3% Svc 2.988S2 · Ctrl thru 2029 peak 1.2 · 2027

wRC+†vL 6484vR 56

AVG/OBP/SLG.194 / .288 / .376

PA350

HR14

SB7

K%33

BB%10

xwOBA.310

Barrel%11.8%

MLB%10%

Scouting · now → future

HIT

40→40

PWR

50→50

SPD

55→55

EYE

54↗60

trajectory · 10 yrs

0.6peak

2027

Barrel%

7411.8

xwOBA

510.310

Avg EV

4688.8

Whiff%

420.119

Chase%

900.209

Speed

6027.9

Bat Spd

7473.9

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2022

Service 2.988 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$1M	+0.5	$2M	+$0.8M
2027	Arb-2	$2M	+1.2	$10M	+$7M
2028	Arb-3	$4M	+1.0	$8M	+$5M
2029	Arb-4	$4M	+0.7	$3M	+$0.0M (cut)
Totals		$10M		$23M	+$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.

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
2016	18	ROK	AZL Padres	123	113	21	4	0	0	7	27	2	3	0	.186	.246	.221	.467	.035	.241	22	6	.208	17	-11	+1	+0	+0	+3	-0.7
2017	19	A	Fort Wayne TinCaps	532	483	88	16	2	7	34	183	9	6	5	.182	.249	.267	.516	.085	.273	34	6	.229	33	-40	-1	+0	+2	+15	-2.4
2018	20	A	Fort Wayne TinCaps	441	403	83	12	6	7	26	113	5	7	3	.206	.263	.318	.580	.112	.265	26	6	.252	51	-24	+0	+0	+2	+12	-1.0
2019	21	A+	Lake Elsinore Storm	471	426	67	12	2	11	38	193	1	2	1	.157	.228	.272	.500	.115	.248	41	8	.229	33	-35	+0	+0	+2	+13	-2.1
2021	23	AA	Altoona Curve	449	390	82	15	3	18	47	163	5	11	8	.210	.303	.403	.706	.192	.299	36	10	.304	91	-5	-1	+0	+2	+13	0.9
2022	24	MLB	3 teams	559	499	102	22	0	27	52	192	6	6	2	.204	.287	.411	.698	.206	.266	34	9	.301	88	-7	+0	+0	-6	+16	0.3
2023	25	MLB	Pittsburgh Pirates	534	447	101	20	2	28	75	172	6	13	2	.226	.345	.468	.812	.242	.289	32	14	.349	125	+15	+2	-1	+2	+15	3.4
2024	26	MLB	2 teams	479	433	78	14	2	15	38	154	3	12	1	.180	.251	.326	.577	.145	.235	32	8	.252	51	-26	+2	-8	+2	+14	-1.7
2025	27	AAA	2 teams	408	352	68	14	1	16	44	142	8	13	1	.193	.297	.375	.672	.182	.264	35	11	.290	80	-9	+2	-2	+1	+12	0.4
▸ 2026 Season (actual · ROS · total)
2026	28	AAA	Oklahoma City Comets	87	73	13	3	0	3	11	30	1	1	0	.178	.294	.342	.637	.164	.238	34	13	.289	79	-2	+0	+0	+0	+2	0.1
ROS	28	MLB	LAD	263	229	44	8	1	11	29	87	3	6	1	.192	.291	.380	.671	.188	.250	33	11	.297	86	-4	+1	-0	+1	+7	0.5
TOT	28	MLB	LAD	350	302	57	11	1	14	40	117	4	7	1	.189	.292	.371	.663	.182	.247	33	11	.295	84	-6	+1	-0	+1	+10	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	29	MLB 20%	LAD	461	399	78	15	1	19	54	125	5	10	2	.195	.299	.381	.680	.185	.232	27	12	.308	94	-3	+1	-2	+2	+13	1.1
2028	30	MLB 33%	LAD	449	388	76	15	1	18	53	123	5	9	1	.196	.300	.379	.679	.183	.230	27	12	.305	92	-4	+1	-3	+2	+13	0.9
2029	31	MLB 43%	LAD	434	375	72	14	1	17	51	121	5	7	1	.192	.297	.371	.668	.179	.228	28	12	.301	89	-5	+1	-4	+2	+12	0.6
2030	32	MLB 52%	LAD	415	359	68	13	1	16	48	118	5	5	0	.189	.294	.365	.659	.175	.226	28	12	.297	85	-7	+1	-4	+1	+12	0.3
2031	33	MLB 64%	LAD	385	333	62	12	1	14	45	112	4	3	0	.186	.291	.354	.645	.168	.224	29	12	.291	81	-8	+1	-5	+1	+11	-0.0
2032	34	MLB 81%	LAD	340	294	53	10	1	12	39	101	4	2	0	.180	.285	.344	.628	.163	.222	30	11	.284	76	-9	+0	-6	+1	+10	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6743	5923	1143	216	25	236	680	2126	76	115	28	.193	.284	.357	.642	.164	.251	32	10	.284	76	-186	+12	-35	+16	+191	-0.2
/ 162G	—			650	571	110	21	2	23	66	205	7	11	3	.193	.284	.357	.641	.165	.251	32	10	.284	76	-18	+1	-3	+2	+18	-0.0

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
2016	18	ROK	AZL Padres	123	108	26	5	0	0	12	19	2	3	0	.241	.328	.287	.615	.046	.289	15	10	.287	78	-3	+1	—	—	+3	0.1
2017	19	A	Fort Wayne TinCaps	532	462	105	21	4	9	55	139	9	6	5	.227	.321	.348	.670	.121	.302	26	10	.303	90	-6	-1	—	—	+15	0.9
2018	20	A	Fort Wayne TinCaps	441	392	100	16	7	10	37	89	5	7	3	.255	.327	.408	.735	.153	.303	20	8	.324	106	+3	+0	—	—	+12	1.6
2019	21	A+	Lake Elsinore Storm	471	408	85	16	3	12	56	141	1	2	1	.208	.305	.350	.656	.142	.282	30	12	.295	84	-8	+0	—	—	+13	0.5
2021	23	AA	Altoona Curve	449	367	96	17	4	19	70	125	5	11	8	.262	.387	.485	.872	.223	.338	28	16	.381	150	+25	-1	—	—	+13	3.8
2022	24	MLB	Pittsburgh Pirates	372	326	66	11	0	19	41	114	4	4	2	.202	.299	.411	.710	.209	.242	31	11	.317	100	+0	+0	+0	-6	+11	0.5
2022	24	AAA	Indianapolis Indians	130	117	25	5	0	6	11	49	1	1	0	.214	.287	.410	.697	.197	.302	38	8	.308	94	-1	+0	—	—	+4	0.3
2022	24	AA	Altoona Curve	57	51	18	8	0	3	5	14	1	1	0	.353	.421	.686	1.107	.333	.441	25	9	.475	222	+8	+0	—	—	+2	1.0
2023	25	MLB	Pittsburgh Pirates	534	447	100	21	2	26	75	172	6	13	2	.224	.343	.454	.797	.230	.290	32	14	.351	126	+16	+2	-1	+2	+15	3.4
2024	26	MLB	Pittsburgh Pirates	277	247	45	8	0	9	27	79	1	9	1	.182	.265	.324	.589	.142	.225	29	10	.267	62	-12	+1	-8	+2	+8	-0.9
2024	26	AAA	Indianapolis Indians	202	180	43	10	3	7	17	59	2	3	0	.239	.312	.444	.756	.206	.308	29	8	.329	110	+2	+1	—	—	+6	0.9
2025	27	MLB	Pittsburgh Pirates	178	150	22	7	0	3	24	57	4	7	1	.147	.281	.253	.534	.107	.211	32	13	.257	55	-9	+1	-2	+1	+5	-0.4
2025	27	AAA	Indianapolis Indians	230	191	54	10	1	14	31	69	4	6	0	.283	.394	.565	.959	.283	.360	30	13	.410	172	+19	+1	—	—	+7	2.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1361	1170	233	47	2	57	167	422	15	33	6	.199	.307	.389	.696	.190	.252	31	12	.312	97	-5	+4	-11	-1	+39	2.7

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
Jack Suwinski (OGILVIE)	28	40	50	55	60	.194/.288/.376	.182	.252	14	10	33%	10%	87	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sam Hilliard 2023 · MLB	29	36→46	54→55	54→55	45	.200/.277/.375	.175	.266	23	14	34%	9%	81	+0.4	.214/.286/.391	.177	.301	21	17	34%	9%	89	+0.9	.206/.276/.397	.191	.290	21	20	35%	9%	83	+0.4
✕Weston Wilson 2022 · AAA	27	40→43	55	51→55	45	.219/.283/.402	.182	.267	25	13	28%	8%	90	+1.0	.216/.279/.378	.162	.291	21	21	32%	8%	82	+0.5	.215/.294/.402	.188	.269	26	25	30%	10%	92	+0.8
✕Brian O'Grady 2021 · MLB	29	43→39	57→60	52→50	41	.228/.284/.424	.197	.295	25	16	32%	6%	97	+1.5	.209/.277/.371	.162	.292	18	14	33%	8%	79	+0.3	.183/.260/.343	.160	.253	17	13	34%	8%	63	-0.5
●Ryan Noda 2023 · AAA	27	40→49	55	50	46	.209/.304/.392	.183	.294	25	12	36%	10%	97	+1.5	.202/.323/.370	.168	.300	20	8	36%	13%	100	+1.7	.182/.324/.341	.159	.276	19	6	37%	15%	91	+0.9
✕Mike Wilson 2011 · AAA	28	40→50	56→60	50	45	.217/.293/.402	.186	.279	25	12	32%	8%	95	+1.4	.230/.299/.389	.159	.307	19	8	30%	8%	93	+1.3	.229/.297/.377	.148	.312	17	4	31%	8%	86	+0.4
✕Derek Fisher 2022 · MLB	28	44→51	51→55	49→55	48	.224/.302/.384	.160	.303	19	12	31%	10%	93	+1.3	.205/.268/.335	.130	.306	14	8	35%	7%	66	-0.6	.124/.199/.239	.115	.190	14	0	42%	8%	10	-0.8
✕J.J. Matijevic 2023 · MLB	27	42→41	56→55	52→50	41	.221/.283/.410	.189	.306	24	12	35%	8%	92	+1.2	.215/.277/.376	.161	.297	18	11	32%	7%	81	+0.4	.197/.263/.349	.152	.270	15	8	32%	8%	64	-0.6
✕Brandon Allen 2013 · MLB	27	42→47	53→55	49→50	48	.218/.300/.396	.177	.288	21	9	31%	10%	95	+1.4	.220/.283/.372	.152	.277	17	6	26%	8%	82	+0.5	.215/.279/.359	.144	.264	16	5	25%	8%	75	+0.0
✕Jake Fraley 2023 · MLB	28	47→46	53→55	51→55	56	.241/.340/.412	.171	.300	22	16	26%	12%	117	+2.9	.252/.329/.404	.152	.299	17	23	21%	10%	109	+2.4	.253/.327/.391	.138	.299	15	27	19%	9%	101	+1.0
✕Sean Bouchard 2023 · MLB	27	44	54→55	52→50	48	.228/.308/.419	.191	.299	21	13	30%	10%	105	+2.1	.219/.307/.387	.168	.303	19	15	32%	10%	96	+1.5	.188/.286/.329	.140	.277	15	16	35%	11%	69	-0.2
✕Greg Bird 2021 · MLB	28	42→46	52→55	48→30	51	.219/.304/.389	.170	.271	20	5	27%	10%	96	+1.5	.206/.279/.363	.157	.270	20	4	30%	9%	79	+0.3	.184/.260/.333	.149	.236	20	1	31%	8%	61	-0.6
●Corey Brown 2014 · MLB	28	43→49	54→60	49→50	40	.224/.280/.402	.178	.308	22	13	34%	7%	89	+0.9	.205/.252/.369	.164	.292	21	13	36%	6%	69	-0.4	.208/.265/.393	.186	.292	24	17	37%	7%	78	+0.2
✕Jason Perry 2009 · MLB	28	44→50	54→55	51→45	42	.228/.298/.410	.182	.297	22	7	30%	7%	98	+1.6	.223/.300/.402	.179	.295	22	8	31%	8%	98	+1.6	.175/.279/.343	.168	.222	22	4	32%	11%	73	-0.0
✕Christin Stewart 2022 · MLB	28	41→45	54→55	46→45	42	.218/.282/.394	.176	.278	22	4	30%	7%	88	+0.9	.211/.290/.389	.178	.300	24	10	36%	9%	90	+1.0	.185/.284/.351	.166	.264	24	11	38%	10%	76	+0.0
✕Jabari Blash 2017 · MLB	28	38→40	57→60	46→50	45	.206/.298/.400	.194	.283	25	8	35%	10%	97	+1.5	.214/.315/.411	.197	.316	25	7	37%	11%	107	+2.2	.205/.314/.415	.209	.300	28	7	38%	12%	102	+1.4
✕Gregory Polanco 2021 · MLB	29	42→52	56→60	52→55	49	.227/.302/.426	.199	.278	24	12	28%	10%	104	+2.0	.224/.293/.395	.171	.282	22	18	28%	8%	92	+1.2	.221/.294/.389	.168	.270	22	23	26%	9%	84	+0.5
●Cory Aldridge 2006 · AAA	27	38→48	58→55	51→45	37	.217/.256/.414	.198	.266	27	12	31%	5%	82	+0.5	.218/.269/.358	.140	.305	15	9	32%	6%	72	-0.2	.240/.288/.418	.178	.307	23	2	29%	6%	94	+0.7
✕Darick Hall 2023 · MLB	28	40→38	56→55	45→40	42	.218/.275/.408	.190	.260	25	5	27%	6%	89	+0.9	.222/.279/.381	.159	.276	21	4	27%	7%	83	+0.6	.210/.274/.337	.127	.266	18	1	28%	7%	66	-0.4
✕Kirk Nieuwenhuis 2016 · MLB	28	43→50	53→55	49→50	43	.221/.285/.400	.179	.292	19	10	31%	8%	90	+1.0	.210/.298/.362	.152	.310	16	11	34%	11%	86	+0.8	.189/.289/.313	.124	.295	12	10	36%	12%	68	-0.3
✕Dalton Kelly 2022 · AAA	27	44→54	52→50	50	46	.225/.302/.387	.162	.302	21	15	32%	9%	95	+1.4	.201/.276/.356	.155	.305	20	13	38%	8%	76	+0.0	.162/.248/.289	.127	.263	16	10	42%	9%	43	-1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)