Ryan Wynn — OGILVIE

Ryan WynnSS Inland Empire 66ers

Age 22 R/R A K +7%HR -5% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 101 proj PA

wRC+†64

AVG/OBP/SLG.201 / .271 / .302

PA101

HR2

K%32

BB%7

ISO103

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$0M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.9M		$-0.1M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2026	21	A	Inland Empire 66ers	—	97	82	20	4	0	2	11	30	4	4	0	244	361	366	727	122	360	31	11	336	54	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Inland Empire 66ers	—	97	85	15	3	0	1	8	41	4	4	0	176	278	247	525	71	328	42	8	248	54	—	—	—	—	—	—
2026	21	A MLE	Inland Empire 66ers	—	97	85	15	3	0	1	8	41	4	4	0	176	278	247	525	71	326	42	8	248	54	—	—	—	—	—	—
2026	21	A RAW	Inland Empire 66ers	—	97	82	20	4	0	2	11	30	4	4	0	244	361	366	727	122	360	31	11	336	54	—	—	—	—	—	—
2026	21	A MLE	Inland Empire 66ers	—	97	85	15	3	0	1	8	41	4	4	0	176	278	247	525	71	328	42	8	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Inland Empire 66ers	—	97	85	15	3	0	1	8	41	4	4	0	176	278	247	525	71	328	42	8	248	54	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	SEA	0%	207	187	39	7	1	4	15	67	3	5	1	202	273	305	578	103	290	32	7	263	64	-9	+1	+0	+2	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	SEA	34%	189	170	35	6	1	3	14	60	3	4	1	206	277	314	591	108	291	32	7	268	68	-7	+0	+0	+2	+4	-0.1
2029	24	MLB MLE	SEA	46%	299	270	56	10	1	6	22	93	5	7	2	209	280	322	602	113	292	31	7	273	71	-10	+1	+0	+3	+6	-0.0
2030	25	MLB MLE	SEA	52%	365	329	69	12	2	7	27	112	6	9	2	211	283	328	610	116	292	31	7	276	73	-12	+1	+0	+4	+8	0.1
2031	26	MLB MLE	SEA	54%	408	369	79	14	2	9	30	124	6	10	2	213	284	332	617	119	292	30	7	279	75	-12	+1	+0	+4	+9	0.2
2032	27	MLB MLE	SEA	54%	428	387	83	15	2	9	32	129	6	10	2	214	285	334	619	120	292	30	7	280	75	-13	+1	+0	+5	+9	0.3
2033	28	MLB MLE	SEA	54%	437	395	84	15	2	9	33	132	6	10	2	212	283	329	613	117	291	30	8	277	74	-14	+1	-1	+5	+9	0.1
2034	29	MLB MLE	SEA	53%	436	394	83	15	2	9	33	133	6	10	2	210	281	323	604	114	290	31	8	274	71	-15	+1	-1	+5	+9	-0.1
2035	30	MLB MLE	SEA	57%	431	390	80	14	2	8	32	133	6	9	3	207	277	316	594	109	288	31	7	269	68	-16	+1	-2	+5	+9	-0.4
2028	23	MLB CTX	SEA	34%	65	59	11	2	0	1	5	21	1	2	0	204	275	310	585	106	289	32	8	266	68	-3	+0	+0	+1	+1	0.0
2029	24	MLB CTX	SEA	46%	138	125	27	5	1	3	10	43	2	3	1	207	278	317	595	110	290	31	7	270	71	-5	+0	+0	+1	+3	-0.0
2030	25	MLB CTX	SEA	52%	189	170	36	6	1	4	14	58	3	5	1	209	281	323	604	114	290	31	7	273	73	-6	+1	+0	+2	+4	0.1
2031	26	MLB CTX	SEA	54%	221	200	42	7	1	5	16	67	3	5	1	211	283	328	610	117	290	30	7	276	75	-7	+1	+0	+2	+5	0.1
2032	27	MLB CTX	SEA	54%	232	210	44	8	1	5	17	70	3	6	1	212	283	329	613	117	289	30	7	277	75	-7	+1	+0	+2	+5	0.2
2033	28	MLB CTX	SEA	54%	237	214	45	8	1	5	18	72	3	5	1	210	282	325	606	115	288	30	8	275	74	-7	+1	-0	+3	+5	0.0
2034	29	MLB CTX	SEA	53%	231	209	43	8	1	4	17	71	3	5	1	208	279	319	598	111	287	31	7	271	71	-8	+1	-1	+2	+5	-0.1
2035	30	MLB CTX	SEA	57%	245	222	46	8	1	5	18	76	3	5	1	205	276	312	587	107	285	31	7	267	68	-9	+1	-1	+3	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1558	1409	294	52	7	32	115	478	21	36	7	209	278	324	602	115	289	31	7	273	71	-51	+4	-2	+17	+34	0.1
/ 162G	—	A+C		—	650	588	123	22	3	13	48	199	9	15	3	209	280	323	603	114	290	31	7	273	71	-21	+2	-1	+7	+14	0.0
Career	—	MLE		—	3191	2880	603	107	15	63	238	990	50	75	16	209	281	323	604	113	293	31	7	274	71	-103	+8	-4	+33	+67	0.0
/ 162G	—	MLE		—	650	587	123	22	3	13	48	202	10	15	3	210	281	324	604	114	293	31	7	274	71	-22	+2	-1	+7	+14	0.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#3Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#4Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.5	1,659	33	39	211	279	326	+18	+15	1.2	1.2
/162	664	13	15	+7.1	+6.0	0.5	pk7: 1
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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 Wynn (OGILVIE)	22	—	—	—	—	201/271/302	102	290	2	2	32%	7%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jase Bowen 2023 · A	22	39→42	44→50	55	35	195/250/303	109	296	12	14	37%	5%	56	-1.9	203/253/327	124	287	14	19	33%	5%	62	-1.4	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Bubba Starling 2015 · A	22	40→47	42→45	54→50	38	195/255/299	104	294	10	13	36%	6%	57	-1.8	196/243/309	113	289	11	10	34%	5%	54	-2.0	219/258/334	116	284	13	10	27%	5%	63	-0.7
✕Willy Vasquez 2024 · A	22	40→43	44→45	52→50	38	201/249/316	115	280	12	15	32%	6%	58	-1.7	205/250/302	97	304	9	15	34%	5%	55	-2.0	205/253/290	85	311	7	17	34%	5%	50	-1.0
✕Kevin Smith 2018 · A	22	39→45	44→55	53→50	34	195/232/312	117	284	11	8	35%	4%	51	-2.3	208/251/356	148	292	17	13	34%	5%	68	-1.0	209/261/367	157	281	19	15	32%	6%	73	-0.5
✕Narciso Crook 2017 · A	22	38→43	42→50	51→50	32	193/230/298	105	288	10	11	36%	4%	46	-2.6	210/261/330	120	310	11	10	34%	5%	65	-1.2	211/273/363	152	309	16	14	35%	6%	75	-0.3
✕Steven Baron 2013 · A	22	39	41→45	50	37	194/232/294	100	263	8	10	29%	4%	46	-2.6	197/236/287	90	278	6	9	30%	5%	45	-2.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Jiandido Tromp 2016 · A	22	36→46	42→50	49→45	33	183/223/290	107	272	10	8	36%	4%	42	-2.9	214/256/355	141	285	14	9	29%	5%	70	-0.9	217/262/357	140	284	14	8	28%	5%	69	-0.7
✕Jhonny Santos 2019 · A	22	41	40→45	50	41	203/254/297	94	272	8	14	28%	6%	55	-1.9	206/263/323	117	278	12	13	29%	6%	65	-1.2	190/248/320	130	244	17	9	29%	7%	57	-0.9
✕Stephen Wrenn 2017 · A	22	41→43	43→45	53→60	35	202/240/314	112	294	10	13	34%	4%	53	-2.1	204/257/298	94	292	7	20	31%	6%	57	-1.8	195/256/299	104	286	8	31	33%	6%	55	-1.5
✕Eduardo Diaz 2019 · A	22	43→45	41→50	53→50	35	209/251/310	101	294	8	12	31%	4%	57	-1.8	213/257/334	121	289	12	11	30%	4%	65	-1.2	206/251/336	130	276	14	13	30%	4%	61	-1.1
✕Jeudy Valdez 2011 · A	22	39→46	41→50	51→55	40	196/242/294	98	265	8	17	29%	5%	49	-2.4	212/250/340	128	281	12	17	29%	4%	63	-1.3	212/249/346	134	278	13	17	28%	3%	62	-1.2
✕Maikol Escotto 2024 · A	22	35	41→45	47→50	35	179/230/275	96	276	10	12	38%	5%	42	-2.9	190/232/297	107	275	12	16	34%	4%	47	-2.5	179/219/283	104	251	14	22	34%	4%	37	-1.4
✕Brian Pointer 2014 · A	22	39→41	42→45	51→50	40	189/265/296	107	289	9	13	36%	7%	61	-1.5	210/285/338	128	315	13	12	35%	8%	77	-0.3	209/287/345	136	311	14	12	35%	9%	76	-0.3
✕Eudy Pina 2014 · A	23	38→47	44→45	52→55	40	192/259/316	124	275	10	12	33%	7%	62	-1.4	224/270/327	103	312	8	9	29%	5%	68	-1.0	233/272/321	88	320	6	8	28%	4%	64	-0.9
✕Travis Witherspoon 2011 · A	22	42→47	43→45	57→55	34	208/247/314	106	303	11	13	35%	4%	56	-1.9	213/264/325	112	292	12	23	30%	6%	65	-1.2	208/268/334	126	273	14	25	28%	7%	66	-0.9
✕Brian McFall 2006 · A	22	39→44	46→55	51→50	36	195/262/318	123	289	14	12	36%	5%	65	-1.2	203/263/356	153	280	18	9	33%	6%	74	-0.6	207/271/356	148	277	17	8	30%	6%	74	-0.4
✕Jordyn Adams 2022 · A	22	40→46	40→45	52→60	36	186/245/269	83	325	8	16	43%	7%	46	-2.6	207/266/306	99	317	8	29	35%	7%	62	-1.4	210/270/327	118	310	11	32	34%	7%	66	-0.9
✕Stanley Tucker 2024 · A	22	39	41→45	53→65	36	188/242/288	100	308	9	11	40%	6%	49	-2.4	187/256/270	83	274	7	23	32%	8%	50	-2.3	180/250/264	84	241	8	36	28%	8%	44	-1.3
✕Kenedy Corona 2022 · A	22	43→42	39→50	52→55	39	208/262/296	88	288	6	20	29%	5%	58	-1.7	210/270/340	130	291	14	23	31%	7%	72	-0.7	201/268/328	126	276	14	27	31%	7%	65	-0.9

Career Stats + Projections

Career Comps

Career Path Comps