George Wolkow — OGILVIE

George WolkowOF Winston-Salem Dash

Age 20 L/R 6'7" / 239 lbs A+ BB +6%HR -6% Svc 0.0 · Ctrl thru 2034 peak 1.2 · 2032

wRC+†35

AVG/OBP/SLG.163 / .236 / .291

PA320

HR9

SB6

K%47

BB%7

MLB%4%

Scouting · now → future

HIT

22↗25

PWR

45↗64

SPD

45↘42

FLD

35↗45

EYE

46↘40

trajectory · 10 yrs

1.3peak

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	+0.1	$0.4M	+$0.0M (cut)
2030	Arb-2	$0.9M	+0.6	$3M	+$2M
2031	Arb-3	$0.9M	+0.9	$4M	+$3M
2032	Ext / FA-deal	$3M	+1.2	$11M	+$9M
2033	Ext / FA-deal	$4M	+1.1	$11M	+$6M
2034	Ext / FA-deal	$5M	+1.0	$10M	+$5M
Totals		$15M		$40M	+$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.

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	ACL White Sox	51	43	6	1	0	0	6	25	2	2	0	.140	.275	.163	.437	.023	.333	49	12	.209	18	-5	+0	+0	-0	+1	-0.3
2024	18	A	2 teams	392	352	56	10	2	10	30	228	7	9	2	.159	.239	.284	.523	.125	.393	58	8	.231	35	-29	+1	+0	-2	+11	-2.0
2025	19	A	Kannapolis Cannon Ballers	496	447	75	11	1	12	33	207	8	33	6	.168	.238	.277	.515	.110	.268	42	7	.231	35	-36	+4	+0	-3	+14	-2.2
▸ 2026 Season (actual · ROS · total)
2026	20	A+	Winston-Salem Dash	69	64	9	2	0	2	3	34	1	1	1	.141	.191	.266	.457	.125	.241	49	4	.214	22	-6	-0	+0	-0	+2	-0.5
ROS	20	MLB	CWS	251	228	37	6	1	7	17	119	4	5	1	.162	.233	.289	.522	.127	.283	47	7	.236	39	-17	+1	-1	-2	+7	-1.2
TOT	20	MLB	CWS	320	292	46	8	1	9	20	153	5	6	2	.158	.224	.284	.508	.127	.280	48	6	.231	35	-23	+0	-1	-2	+9	-1.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 15%	CWS	548	491	90	15	2	20	44	218	8	12	3	.183	.262	.344	.606	.161	.271	40	8	.269	64	-22	+1	-2	-3	+16	-1.0
2028	22	MLB 31%	CWS	600	536	102	17	2	23	50	232	9	13	3	.190	.271	.358	.629	.168	.277	39	8	.283	75	-17	+1	-2	-4	+17	-0.4
2029	23	MLB 51%	CWS	637	568	113	19	2	27	55	240	9	13	3	.199	.280	.382	.662	.183	.281	38	9	.294	83	-12	+1	-2	-4	+18	0.1
2030	24	MLB 70%	CWS	660	586	118	19	2	29	59	244	10	13	3	.201	.285	.389	.675	.188	.283	37	9	.302	89	-8	+1	-2	-4	+19	0.6
2031	25	MLB 86%	CWS	673	597	123	20	2	31	61	248	10	12	3	.206	.290	.402	.692	.196	.284	37	9	.307	93	-5	+1	-2	-4	+19	0.9
2032	26	MLB	CWS	678	600	124	20	2	32	63	250	10	12	2	.207	.293	.407	.699	.200	.285	37	9	.310	96	-3	+2	-2	-4	+19	1.2
2033	27	MLB	CWS	677	599	124	20	2	32	63	250	10	11	2	.207	.293	.407	.701	.200	.285	37	9	.310	96	-3	+1	-2	-4	+19	1.1
2034	28	MLB	CWS	671	593	123	20	2	32	63	249	10	10	2	.207	.294	.410	.704	.202	.284	37	9	.309	95	-4	+1	-3	-4	+19	1.0
2035	29	MLB	CWS	660	582	119	19	2	31	63	247	10	9	1	.204	.293	.404	.697	.199	.283	37	10	.307	93	-5	+1	-3	-4	+19	0.8
2036	30	MLB	CWS	649	573	115	18	2	30	62	245	9	8	1	.201	.289	.396	.685	.195	.281	38	10	.304	91	-7	+1	-4	-4	+18	0.5
2037	31	MLB	CWS	635	561	112	18	2	29	60	242	9	6	0	.200	.287	.394	.681	.194	.279	38	9	.300	88	-9	+1	-5	-4	+18	0.2
2038	32	MLB	CWS	616	544	106	17	1	27	58	238	9	5	0	.195	.283	.379	.662	.184	.277	39	9	.295	84	-11	+1	-5	-4	+17	-0.2
2039	33	MLB	CWS	587	519	98	15	1	25	55	231	8	4	0	.189	.277	.366	.643	.177	.275	39	9	.290	80	-13	+1	-6	-4	+17	-0.6
2040	34	MLB	CWS	538	476	87	13	1	22	50	216	7	3	0	.183	.270	.353	.623	.170	.273	40	9	.283	74	-16	+1	-6	-3	+15	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			10019	8895	1728	278	29	419	892	3929	149	180	32	.194	.279	.373	.652	.179	.285	39	9	.290	80	-223	+23	-46	-60	+284	-2.2
/ 162G	—			650	577	112	18	2	27	58	255	10	12	2	.194	.279	.373	.652	.179	.285	39	9	.290	80	-14	+2	-3	-4	+18	-0.1

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	ACL White Sox	51	40	9	1	0	1	9	17	2	2	0	.225	.392	.325	.717	.100	.364	33	18	.342	120	+1	+0	—	—	+1	0.3
2024	18	A	Kannapolis Cannon Ballers	325	278	67	11	4	11	39	132	5	6	1	.241	.345	.428	.773	.187	.406	41	12	.343	121	+8	+1	—	—	+9	1.8
2024	18	ROK	ACL White Sox	67	57	19	7	0	2	8	26	2	3	1	.333	.433	.561	.994	.228	.586	39	12	.437	192	+7	+0	—	—	+2	0.9
2025	19	A	Kannapolis Cannon Ballers	496	426	95	16	2	13	54	147	8	33	6	.223	.322	.362	.683	.138	.300	30	11	.307	93	-4	+4	—	—	+14	1.5

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	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
George Wolkow (OGILVIE)	20	22→25	45→64	45→42	40	.163/.236/.291	.127	.291	9	7	47%	7%	43	-1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Will Benson 2019 · A	21	30→40	47→55	47→55	44	.163/.256/.291	.128	.251	16	9	40%	10%	51	-1.7	.179/.262/.333	.154	.273	19	14	39%	10%	64	-0.8	.221/.322/.401	.180	.313	18	26	32%	12%	102	+1.4
●MJ Melendez 2019 · A	20	37→47	48→60	44→50	35	.191/.247/.335	.144	.299	15	5	40%	6%	57	-1.2	.179/.239/.336	.157	.290	19	6	43%	7%	55	-1.4	.220/.307/.417	.197	.267	25	4	27%	11%	100	+1.7
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	.188/.259/.305	.117	.281	12	9	36%	7%	55	-1.4	.194/.278/.291	.097	.346	7	8	42%	9%	59	-1.1	.146/.273/.221	.075	.359	3	4	52%	12%	39	-0.5
✕Abimelec Ortiz 2023 · A	21	36→39	50→60	43→40	41	.192/.265/.337	.145	.271	19	7	35%	8%	66	-0.6	.210/.271/.394	.184	.280	25	4	34%	7%	83	+0.6	.207/.272/.399	.191	.261	26	2	31%	7%	82	+0.4
✕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
●Nick Pratto 2019 · A	20	40→43	43→55	50	36	.200/.247/.312	.112	.301	11	12	36%	6%	50	-1.7	.185/.244/.319	.134	.300	15	12	41%	7%	52	-1.6	.196/.288/.385	.190	.281	24	7	37%	10%	87	+0.7
✕Mason Martin 2019 · A	20	37→32	47→60	42→45	39	.183/.261/.313	.130	.309	16	4	43%	8%	59	-1.1	.188/.257/.369	.181	.297	23	4	42%	7%	72	-0.2	.174/.236/.364	.190	.267	24	5	43%	6%	59	-1.0
✕Michael Chavis 2016 · A	20	35→45	46→60	45	33	.185/.226/.311	.126	.279	13	7	38%	4%	42	-2.3	.206/.253/.358	.152	.281	18	5	33%	5%	66	-0.6	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
✕Brandon Allen 2007 · A	21	35→45	47→55	44→50	33	.186/.230/.316	.129	.273	16	6	38%	5%	45	-2.1	.215/.260/.378	.163	.286	19	7	31%	5%	74	-0.1	.223/.306/.403	.181	.284	22	9	28%	10%	96	+1.4
●Nolan Gorman 2021 · A	21	40→43	48→60	43→45	37	.201/.259/.345	.145	.302	16	3	38%	6%	65	-0.7	.224/.278/.400	.176	.300	24	6	33%	7%	88	+0.9	.225/.289/.424	.199	.290	29	6	33%	8%	95	+1.2
●Trayce Thompson 2012 · A	21	34→44	49→65	45→50	35	.182/.236/.327	.145	.268	17	6	38%	6%	51	-1.7	.189/.248/.341	.152	.276	18	13	37%	6%	59	-1.1	.209/.298/.431	.221	.291	31	7	37%	10%	102	+1.1
✕Brian Sanchez 2016 · A	20	38	41→60	47→45	34	.187/.243/.288	.102	.298	9	8	38%	5%	43	-2.2	.202/.260/.333	.131	.304	14	4	36%	6%	62	-0.9	.203/.267/.358	.155	.292	18	0	35%	7%	70	-0.1
✕Nelson Velázquez 2019 · A	20	39→38	42→60	50	34	.188/.242/.286	.098	.322	11	9	43%	6%	42	-2.3	.208/.252/.318	.110	.329	11	9	38%	5%	54	-1.4	.200/.270/.389	.189	.255	26	12	33%	8%	79	+0.2
✕Steven Moya 2012 · A	20	32→42	43→60	45→50	27	.166/.203/.264	.098	.294	12	3	47%	4%	19	-3.9	.204/.232/.348	.144	.310	17	7	39%	3%	53	-1.5	.222/.248/.410	.188	.296	26	7	34%	3%	74	-0.0
✕Izzy Wilson 2018 · A	20	37→32	44→50	50→55	36	.182/.242/.293	.111	.300	12	10	41%	7%	44	-2.1	.181/.243/.279	.098	.309	9	14	41%	7%	40	-2.4	.178/.249/.314	.136	.272	17	23	39%	8%	49	-1.0
●Lewis Brinson 2014 · A	20	36→46	47→55	52→50	31	.178/.230/.308	.130	.314	15	14	46%	5%	43	-2.2	.220/.268/.368	.148	.324	17	14	36%	6%	75	-0.0	.237/.289/.413	.176	.298	20	17	27%	6%	92	+0.8
✕Emmanuel Rodriguez 2022 · A	19	43→37	49→50	49→55	36	.189/.268/.338	.149	.366	18	11	49%	9%	68	-0.5	.202/.328/.369	.167	.342	18	15	40%	15%	101	+1.8	.193/.338/.377	.183	.312	19	18	38%	17%	104	+1.0
●Drew Lugbauer 2019 · A	22	37→32	47→65	46→30	33	.188/.244/.319	.131	.306	16	3	42%	6%	52	-1.6	.173/.225/.311	.138	.296	18	3	46%	6%	42	-2.3	.184/.259/.408	.223	.302	33	1	48%	8%	79	+0.2
✕Alexander Canario 2022 · A	22	37→34	51→60	50	37	.200/.246/.359	.159	.282	20	14	36%	6%	63	-0.8	.212/.272/.410	.198	.294	26	14	36%	7%	88	+0.9	.209/.277/.424	.216	.279	30	13	36%	8%	90	+0.6
✕Travis Demeritte 2015 · A	20	36→43	49→60	49→50	36	.181/.252/.324	.142	.311	18	6	45%	8%	57	-1.2	.184/.249/.326	.142	.317	16	9	44%	7%	56	-1.3	.204/.271/.391	.188	.288	24	7	37%	8%	79	+0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)