Ryan Burrowes — OGILVIE

Ryan BurrowesSS Winston-Salem Dash

Age 21 R/R 6'1" / 170 lbs A+ BB +6%HR -6% Svc 0.0 · Ctrl thru 2035 peak 0.7 · 2030

wRC+†39

AVG/OBP/SLG.175 / .242 / .246

PA320

HR4

SB14

K%39

BB%6

MLB%0%

Scouting · now → future

HIT

40→40

PWR

25→25

SPD

60→60

EYE

44↘35

trajectory · 10 yrs

0.7peak

2031

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

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.7	$3M	+$2M
2031	Arb-3	$0.9M	+0.7	$3M	+$2M
2032	Ext / FA-deal	$0.9M	+0.7	$3M	+$2M
2033	Ext / FA-deal	$1M	+0.6	$3M	+$2M
2034	Ext / FA-deal	$2M	+0.4	$2M	+$0.3M
2035	Ext / FA-deal	$1.0M	+0.2	$1M	+$0.1M
Totals		$7M		$16M	+$9M

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
2022	17	ROK	DSL White Sox	196	168	34	7	1	2	15	50	10	12	0	.202	.306	.292	.597	.089	.269	26	8	.257	55	-10	+2	+0	+2	+6	0.0
2023	18	ROK	ACL White Sox	178	162	28	5	2	1	8	74	5	12	5	.173	.234	.247	.481	.074	.307	42	4	.204	14	-17	+0	+0	+2	+5	-1.0
2024	19	A	2 teams	351	316	51	4	0	1	23	165	6	24	5	.161	.232	.184	.415	.022	.321	47	7	.198	9	-36	+3	+0	+4	+10	-2.0
2025	20	A	2 teams	429	387	80	11	1	6	24	153	12	47	6	.207	.274	.287	.561	.080	.319	36	6	.250	49	-25	+7	+0	+5	+12	-0.1
▸ 2026 Season (actual · ROS · total)
2026	21	A+	Winston-Salem Dash	61	51	9	3	1	0	6	19	3	3	2	.176	.300	.275	.575	.098	.281	31	10	.252	51	-3	-0	+0	+1	+2	-0.1
ROS	21	MLB	CWS	259	234	41	7	1	3	17	99	6	11	3	.175	.249	.252	.501	.077	.287	38	7	.233	36	-19	+1	+0	+3	+7	-0.8
TOT	21	MLB	CWS	320	285	50	10	2	3	23	118	9	14	5	.175	.259	.256	.515	.081	.285	37	7	.236	39	-22	+1	+0	+3	+9	-0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	CWS	494	442	83	15	2	7	38	164	11	20	5	.188	.269	.278	.547	.090	.278	33	8	.255	53	-26	+2	+0	+5	+14	-0.5
2028	23	MLB 28%	CWS	542	481	96	17	3	10	44	173	12	20	5	.200	.283	.310	.593	.110	.280	32	8	.267	63	-23	+2	+0	+6	+15	0.0
2029	24	MLB 45%	CWS	573	508	103	18	3	12	48	179	12	20	5	.203	.287	.321	.608	.118	.281	31	8	.275	68	-21	+2	+0	+6	+16	0.4
2030	25	MLB 60%	CWS	591	523	107	19	3	13	51	182	12	20	4	.205	.290	.327	.617	.122	.282	31	9	.279	72	-19	+2	+0	+6	+17	0.7
2031	26	MLB 78%	CWS	599	530	108	19	3	13	52	184	12	19	4	.204	.290	.325	.614	.121	.282	31	9	.281	73	-18	+2	+0	+6	+17	0.7
2032	27	MLB 92%	CWS	600	530	108	19	3	13	53	185	12	18	4	.204	.291	.325	.615	.121	.282	31	9	.281	73	-18	+2	+0	+6	+17	0.7
2033	28	MLB	CWS	595	525	107	19	3	13	53	185	12	16	3	.204	.292	.326	.617	.122	.282	31	9	.280	72	-19	+2	-1	+6	+17	0.6
2034	29	MLB	CWS	586	516	104	18	3	12	53	184	12	15	3	.202	.291	.318	.609	.116	.281	31	9	.278	71	-19	+2	-1	+6	+17	0.4
2035	30	MLB	CWS	575	506	101	18	2	12	52	182	12	14	2	.200	.289	.314	.604	.115	.279	32	9	.274	68	-21	+2	-2	+6	+16	0.2
2036	31	MLB	CWS	561	494	97	17	2	11	51	180	11	11	1	.196	.286	.306	.592	.109	.278	32	9	.271	65	-22	+2	-3	+6	+16	-0.1
2037	32	MLB	CWS	543	478	92	16	2	10	49	177	11	9	1	.192	.283	.297	.580	.105	.276	33	9	.266	62	-23	+1	-4	+6	+15	-0.4
2038	33	MLB	CWS	513	452	85	14	2	9	46	171	10	8	0	.188	.278	.288	.565	.100	.274	33	9	.261	58	-24	+2	-4	+5	+15	-0.7
2039	34	MLB	CWS	466	413	76	13	2	8	41	159	9	7	0	.184	.272	.283	.555	.099	.273	34	9	.255	53	-25	+1	-5	+5	+13	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			8651	7665	1501	256	38	156	718	2846	187	303	56	.196	.281	.300	.581	.104	.285	33	8	.265	61	-385	+38	-20	+93	+245	-2.9
/ 162G	—			650	576	113	19	3	12	54	214	14	23	4	.196	.281	.302	.583	.106	.285	33	8	.265	61	-29	+3	-1	+7	+18	-0.2

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
2022	17	ROK	DSL White Sox	196	158	42	9	1	3	25	34	10	12	0	.266	.399	.392	.791	.127	.315	17	13	.359	133	+7	+2	—	—	+6	1.6
2023	18	ROK	ACL White Sox	178	158	41	8	3	2	12	51	5	12	5	.259	.331	.386	.718	.127	.368	29	7	.318	102	+0	+0	—	—	+5	0.6
2024	19	A	Kannapolis Cannon Ballers	322	280	57	7	1	1	32	107	5	22	4	.204	.297	.246	.543	.043	.316	33	10	.255	53	-17	+3	—	—	+9	-0.5
2024	19	ROK	ACL White Sox	29	24	10	0	0	0	3	8	1	2	1	.417	.500	.417	.917	.000	.588	28	10	.410	172	+2	+0	—	—	+1	0.3
2025	20	A+	Winston-Salem Dash	130	114	29	7	1	2	12	34	3	16	2	.254	.341	.386	.727	.132	.342	26	9	.327	109	+1	+2	—	—	+4	0.7
2025	20	A	Kannapolis Cannon Ballers	299	258	66	8	1	4	27	76	9	31	4	.256	.347	.341	.688	.085	.343	25	9	.313	98	-1	+5	—	—	+8	1.3

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	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
Ryan Burrowes (OGILVIE)	21	40	25	60	35	.175/.242/.246	.070	.291	4	13	39%	6%	33	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yhoswar Garcia 2023 · A	21	42	38→30	61→70	39	.197/.263/.279	.082	.306	5	36	35%	7%	49	-1.8	.204/.255/.272	.068	.280	3	37	27%	5%	43	-2.2	.203/.249/.256	.053	.266	2	51	23%	5%	33	-1.4
✕Kenny Wilson 2011 · A	21	37→47	35→40	56→60	41	.176/.250/.231	.056	.277	2	26	35%	8%	32	-3.0	.198/.271/.268	.070	.291	4	28	31%	7%	50	-1.8	.199/.267/.293	.094	.305	8	22	35%	7%	52	-0.6
✕Tyler James 2018 · A	21	44	36→30	63→65	42	.205/.267/.282	.077	.295	2	25	29%	7%	51	-1.7	.219/.282/.293	.074	.330	4	28	32%	7%	60	-1.0	.230/.297/.289	.060	.352	4	45	33%	8%	61	-0.4
✕Daniel Carroll 2010 · A	21	44→50	35→45	55→60	36	.201/.263/.264	.063	.315	3	26	35%	5%	45	-2.1	.218/.288/.329	.111	.329	11	28	35%	7%	73	-0.1	.224/.297/.348	.125	.337	14	33	35%	7%	78	+0.1
✕Frankeny Fernandez 2017 · A	20	37	38→40	54→60	42	.177/.252/.256	.078	.282	5	19	36%	8%	39	-2.5	.189/.255/.265	.076	.277	5	11	31%	7%	42	-2.3	.172/.238/.215	.043	.239	3	6	27%	7%	20	-1.1
✕Justin Trapp 2012 · A	21	42→45	38→45	54→55	38	.200/.254/.279	.078	.296	5	20	33%	6%	45	-2.1	.214/.270/.315	.101	.294	9	16	29%	6%	61	-1.0	.213/.269/.307	.093	.289	9	15	28%	6%	55	-1.2
✕Shane Sasaki 2022 · A	22	44→54	39→45	57→60	39	.204/.264/.285	.081	.331	6	21	38%	7%	50	-1.7	.232/.295/.340	.108	.347	9	27	33%	7%	78	+0.2	.230/.297/.331	.101	.343	9	32	33%	8%	73	-0.1
✕Christian Cairo 2022 · A	21	39→47	40	52→60	45	.186/.279/.272	.086	.285	7	15	34%	9%	56	-1.3	.195/.294/.278	.083	.290	6	17	31%	11%	63	-0.8	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Braulio Vasquez 2022 · A	23	40	40	54→65	40	.192/.269/.282	.090	.299	8	28	36%	7%	53	-1.5	.216/.284/.315	.099	.302	7	27	29%	7%	67	-0.5	.225/.290/.320	.095	.304	4	32	25%	7%	66	-0.3
✕Brandol Mezquita 2022 · A	21	44→51	38→30	51→50	37	.200/.264/.277	.077	.336	6	14	40%	7%	49	-1.8	.204/.265/.277	.073	.345	4	11	39%	6%	50	-1.8	.194/.255/.259	.064	.333	4	11	40%	6%	38	-1.3
✕Tyler Goeddel 2014 · A	21	44→49	40→45	59→55	41	.210/.263/.309	.099	.290	7	20	29%	6%	56	-1.3	.223/.279/.336	.113	.300	9	18	27%	6%	70	-0.3	.225/.286/.343	.117	.296	10	18	26%	7%	72	-0.1
✕Jarryd Dale 2022 · A	21	44→42	40	52→55	34	.209/.252/.296	.087	.321	8	18	36%	5%	48	-1.9	.186/.256/.267	.081	.283	6	17	34%	8%	43	-2.2	.158/.239/.224	.066	.239	5	17	33%	9%	24	-2.0
✕Ruben Martinez 2008 · A	21	41	36→30	56→60	42	.182/.269/.248	.066	.314	3	21	39%	9%	44	-2.1	.177/.244/.242	.065	.285	2	14	36%	7%	31	-3.0	.141/.183/.193	.052	.214	0	10	32%	4%	-12	-1.9
✕Clay Fuller 2008 · A	21	46	39→45	55	41	.210/.281/.301	.091	.326	6	18	35%	7%	63	-0.9	.209/.288/.318	.109	.302	9	20	31%	8%	70	-0.3	.201/.282/.313	.111	.286	10	21	31%	8%	63	-0.7
✕Mikey Edie 2019 · A	22	47	35→30	51→50	35	.214/.264/.277	.063	.323	2	15	33%	4%	48	-1.9	.207/.258/.278	.071	.287	4	8	28%	4%	46	-2.0	.193/.240/.251	.058	.266	3	7	27%	3%	27	-1.7
✕Monte Harrison 2017 · A	21	39→43	39→50	53→60	36	.182/.253/.263	.081	.299	6	16	38%	6%	42	-2.3	.205/.262/.331	.126	.332	14	18	40%	5%	63	-0.9	.194/.262/.320	.126	.338	17	41	45%	7%	56	-0.6
✕Heiker Meneses 2012 · AA	21	45→51	37→40	56→55	36	.208/.264/.285	.077	.312	4	19	33%	5%	50	-1.7	.215/.260/.290	.075	.303	4	15	29%	4%	50	-1.8	.223/.263/.264	.041	.319	1	15	29%	4%	41	-1.1
✕Jose Curpa 2022 · A	22	41	36→30	57→55	46	.190/.272/.257	.067	.287	2	24	32%	9%	47	-1.9	.201/.288/.281	.080	.308	5	17	33%	9%	61	-1.0	.189/.290/.248	.059	.290	4	23	32%	10%	52	-0.4
✕Nino Leyja 2012 · A	21	43	37→40	54→55	38	.202/.254/.280	.077	.305	4	16	34%	6%	44	-2.1	.203/.256/.289	.086	.310	6	13	34%	6%	48	-1.9	.171/.225/.242	.070	.262	5	9	35%	6%	18	-1.2
✕Dayro Perez 2022 · A	20	39	39→40	55→60	34	.175/.247/.257	.082	.321	6	24	44%	7%	37	-2.6	.168/.248/.242	.074	.345	5	20	48%	8%	34	-2.8	.127/.208/.177	.050	.271	4	19	50%	8%	-1	-1.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)