Tyler O'Neill — OGILVIE

Tyler O'NeillRF Baltimore Orioles

Age 31 R/R 5'9" / 200 lbs MLB HR +8%BB -5% Svc 7.343 · Ctrl thru 2027 peak 1.6 · 2026

wRC+†vL 183128vR 90

AVG/OBP/SLG.245 / .333 / .474

PA355

HR19

K%29

BB%11

MLB%100%

Scouting · now → future

HIT

40→40

PWR

60→60

SPD

55→55

EYE

59↘55

trajectory · 10 yrs

1.8peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 7.343 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$16M	+1.6	$13M	-$4M
2027	Ext / FA-deal	$16M	+1.2	$10M	-$7M
Totals		$33M		$23M	-$10M

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
2013	18	ROK	AZL Mariners	116	105	23	3	2	1	7	39	4	2	4	.219	.293	.314	.607	.095	.338	34	6	.264	60	-5	-1	+0	-1	+3	-0.4
2014	19	A	Clinton LumberKings	245	227	43	7	0	9	12	98	5	5	0	.189	.246	.339	.585	.150	.281	40	5	.250	50	-14	+1	+0	-3	+7	-0.9
2015	20	A+	2 teams	480	446	88	17	2	26	20	199	8	16	5	.197	.245	.419	.664	.222	.273	41	4	.280	72	-15	+1	+0	-5	+14	-0.5
2016	21	AA	2 teams	661	593	147	29	3	26	45	224	10	13	3	.248	.312	.438	.750	.191	.340	34	7	.324	106	+5	+1	+0	-7	+19	1.8
2017	22	AAA	Memphis Redbirds	557	511	94	19	2	23	38	193	3	14	2	.184	.245	.364	.609	.180	.237	35	7	.263	59	-26	+2	+0	-6	+16	-1.4
2018	23	AAA	2 teams	415	376	93	12	1	31	28	147	5	5	1	.247	.308	.532	.840	.285	.304	35	7	.356	131	+14	+1	+2	-4	+12	2.5
2019	24	AAA	3 teams	341	320	70	11	0	15	20	131	0	4	0	.219	.265	.394	.658	.175	.314	38	6	.284	75	-10	+1	-1	-4	+10	-0.4
2020	25	MLB	St. Louis Cardinals	157	139	25	6	0	7	15	43	2	3	1	.180	.269	.374	.643	.194	.200	27	10	.281	73	-5	+0	+2	-2	+4	0.0
2021	26	MLB	St. Louis Cardinals	537	482	138	25	2	37	38	168	13	15	4	.286	.355	.577	.931	.290	.359	31	7	.400	164	+39	+1	+3	-6	+15	5.4
2022	27	MLB	2 teams	405	354	82	13	1	14	38	110	6	14	4	.232	.317	.393	.709	.161	.287	27	9	.309	94	-3	+1	+1	-4	+11	0.7
2023	28	MLB	2 teams	297	266	60	16	0	9	31	75	0	5	0	.226	.306	.387	.694	.162	.280	25	10	.308	94	-2	+1	-1	-3	+8	0.4
2024	29	MLB	Boston Red Sox	473	411	99	16	0	33	53	159	7	4	0	.241	.338	.521	.858	.280	.299	34	11	.354	129	+16	+1	-5	-5	+13	2.0
2025	30	MLB	3 teams	259	228	48	5	1	10	25	66	3	4	0	.211	.297	.373	.670	.162	.245	25	10	.296	85	-4	+1	-5	-3	+7	-0.4
▸ 2026 Season (actual · ROS · total)
2026	31	MLB	Baltimore Orioles	34	29	7	0	0	1	3	6	2	0	0	.241	.353	.345	.698	.103	.273	18	9	.322	105	+0	+0	-1	-0	+1	0.0
ROS	31	MLB	BAL	321	279	70	11	1	17	34	91	5	4	1	.251	.343	.480	.823	.229	.301	28	11	.356	130	+11	+0	-1	-3	+9	1.6
TOT	31	MLB	BAL	355	308	77	11	1	18	37	97	7	4	1	.250	.344	.468	.811	.218	.303	27	10	.352	128	+11	+0	-2	-4	+10	1.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB	BAL	336	293	72	11	1	17	35	92	5	3	1	.246	.336	.464	.801	.218	.292	27	10	.351	126	+10	+0	-5	-4	+10	1.2
2028	33	MLB	BAL	306	267	64	10	1	15	32	86	4	2	0	.240	.330	.453	.783	.213	.290	28	10	.345	122	+8	+0	-5	-3	+9	0.8
2029	34	MLB	BAL	263	230	55	8	1	13	27	76	4	1	0	.239	.330	.452	.782	.213	.288	29	10	.337	116	+5	+0	-6	-3	+7	0.4
2030	35	MLB	BAL	211	184	42	6	0	10	22	63	3	0	0	.228	.321	.424	.744	.196	.285	30	10	.329	110	+2	+0	-6	-2	+6	-0.0
2031	36	MLB	BAL	155	136	30	4	0	7	16	48	2	0	0	.221	.312	.404	.716	.184	.282	31	10	.319	102	+0	+0	-7	-2	+4	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6535	5847	1343	229	18	320	536	2108	89	114	26	.230	.304	.439	.743	.210	.294	32	8	.321	104	+27	+12	-33	-70	+185	12.4
/ 162G	—			650	582	134	23	2	32	53	210	9	11	3	.230	.304	.442	.746	.211	.295	32	8	.321	104	+3	+1	-3	-7	+18	1.2

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
2013	18	ROK	AZL Mariners	116	100	31	5	3	1	12	27	4	2	4	.310	.405	.450	.855	.140	.417	23	10	.384	152	+7	-1	—	—	+3	0.9
2014	19	A	Clinton LumberKings	245	219	54	9	0	13	20	79	5	5	0	.247	.324	.466	.790	.219	.320	32	8	.348	124	+7	+1	—	—	+7	1.5
2015	20	A+	Bakersfield Blaze	449	407	106	21	2	32	29	137	7	16	5	.260	.321	.558	.878	.297	.303	31	6	.375	145	+23	+1	—	—	+13	3.8
2015	20	INTL	Peoria Javelinas	31	30	10	3	0	3	0	11	1	0	0	.333	.355	.733	1.088	.400	.438	35	0	.466	215	+4	+0	—	—	+1	0.5
2016	21	AA	Jackson Generals	575	492	144	26	4	24	62	150	9	12	2	.293	.382	.508	.890	.215	.364	26	11	.385	152	+34	+2	—	—	+16	5.3
2016	21	INTL	Peoria Javelinas	86	72	21	5	0	3	12	22	1	1	1	.292	.400	.486	.886	.194	.375	26	14	.390	157	+5	-0	—	—	+2	0.8
2017	22	AAA	Memphis Redbirds	557	495	122	26	3	31	54	151	3	14	2	.246	.324	.499	.823	.253	.286	27	10	.357	131	+20	+2	—	—	+16	3.8
2018	23	MLB	St. Louis Cardinals	142	130	33	5	0	9	7	57	3	2	0	.254	.307	.500	.807	.246	.364	40	5	.348	125	+4	+0	+2	-4	+4	0.6
2018	23	AAA	Memphis Redbirds	273	238	74	9	2	26	29	68	2	3	1	.311	.390	.693	1.084	.382	.324	25	11	.454	206	+33	+0	—	—	+8	4.1
2019	24	MLB	St. Louis Cardinals	151	141	37	6	0	5	10	53	0	1	0	.262	.311	.411	.723	.149	.386	35	7	.322	105	+1	+0	-1	-4	+4	0.1
2019	24	AAA	Memphis Redbirds	166	151	40	5	0	11	14	51	0	3	0	.265	.327	.517	.844	.252	.322	31	8	.366	138	+7	+1	—	—	+5	1.3
2019	24	AA	Springfield Cardinals	24	24	4	1	0	2	0	9	0	0	0	.167	.167	.458	.625	.292	.154	38	0	.265	61	-1	+0	—	—	+1	-0.0
2020	25	MLB	St. Louis Cardinals	157	139	24	5	0	7	15	43	2	3	1	.173	.263	.360	.623	.187	.189	27	10	.279	72	-5	+0	+2	-2	+4	0.0
2021	26	MLB	St. Louis Cardinals	537	482	138	26	2	34	38	168	13	15	4	.286	.355	.560	.915	.274	.366	31	7	.395	161	+37	+1	+3	-6	+15	5.2
2022	27	MLB	St. Louis Cardinals	383	334	76	11	1	14	38	103	4	14	4	.228	.314	.392	.706	.165	.277	27	10	.312	97	-1	+1	+1	-4	+11	0.8
2022	27	AAA	Memphis Redbirds	22	20	8	2	0	1	0	6	2	0	0	.400	.455	.650	1.105	.250	.538	27	0	.484	228	+3	+0	—	—	+1	0.4
2023	28	MLB	St. Louis Cardinals	266	238	55	14	0	9	28	67	0	5	0	.231	.312	.403	.715	.172	.284	25	11	.320	103	+1	+1	-1	-3	+8	0.6
2023	28	AAA	Memphis Redbirds	31	26	6	1	0	0	5	7	0	0	0	.231	.355	.269	.624	.038	.316	23	16	.300	88	-0	+0	—	—	+1	0.0
2024	29	MLB	Boston Red Sox	473	411	99	18	0	31	53	159	7	4	0	.241	.338	.511	.849	.270	.305	34	11	.370	141	+22	+1	-5	-5	+13	2.7
2025	30	MLB	Baltimore Orioles	209	181	36	6	1	9	22	51	3	4	0	.199	.296	.392	.688	.193	.218	24	11	.305	91	-2	+1	-5	-3	+6	-0.3
2025	30	AAA	Norfolk Tides	30	27	10	0	0	1	3	5	0	0	0	.370	.433	.481	.915	.111	.429	17	10	.411	172	+2	+0	—	—	+1	0.3
2025	30	AA	Chesapeake Baysox	20	18	4	0	0	1	2	7	0	0	0	.222	.300	.389	.689	.167	.300	35	10	.310	95	-0	+0	—	—	+1	0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2318	2056	498	91	4	118	211	701	32	48	9	.242	.322	.463	.785	.220	.303	30	9	.344	121	+56	+6	-2	-31	+66	9.6

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
Tyler O'Neill (OGILVIE)	31	40	60	55	55	.246/.336/.467	.221	.293	18	5	27%	10%	130	+2.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mitch Haniger 2022 · MLB	31	45→55	64→65	50	48	.251/.322/.486	.235	.285	33	4	25%	8%	129	+3.7	.239/.308/.426	.187	.287	26	3	26%	8%	108	+2.3	.216/.291/.366	.150	.271	20	1	27%	9%	82	+0.3
✕Luke Voit 2022 · MLB	31	49→55	61→60	46→30	50	.259/.344/.478	.220	.315	30	2	27%	10%	135	+4.2	.230/.314/.416	.186	.310	24	4	32%	10%	107	+2.2	.215/.307/.390	.175	.297	23	2	33%	10%	95	+1.0
●Brandon Moss 2015 · MLB	31	47→51	64→65	46→45	51	.254/.337/.497	.243	.299	32	4	27%	10%	137	+4.3	.234/.314/.456	.222	.287	29	3	29%	10%	118	+3.0	.222/.298/.447	.225	.269	31	1	30%	9%	104	+1.5
●Jorge Soler 2022 · MLB	30	42→52	64→65	45	53	.237/.327/.478	.241	.267	33	2	26%	11%	128	+3.7	.231/.320/.447	.216	.271	28	2	26%	11%	118	+3.0	.234/.326/.453	.219	.273	29	1	26%	11%	119	+2.5
★Kyle Schwarber 2023 · MLB	30	39→48	68→70	49→45	56	.231/.334/.496	.265	.262	38	7	29%	13%	136	+4.2	.221/.343/.475	.254	.257	35	5	29%	15%	134	+4.1	.219/.352/.476	.257	.251	36	4	29%	16%	129	+4.4
✕Marcus Thames 2008 · MLB	31	45→46	67→70	46→40	46	.254/.314/.513	.259	.279	36	5	25%	8%	132	+4.0	.248/.307/.478	.230	.286	33	3	26%	8%	120	+3.1	.248/.311/.459	.212	.289	32	0	26%	8%	113	+1.4
●Eric Thames 2019 · MLB	32	46→53	63→65	52→45	53	.244/.339/.487	.242	.311	30	9	31%	12%	135	+4.2	.243/.335/.465	.222	.316	28	7	30%	11%	128	+3.7	.238/.337/.459	.221	.309	28	4	30%	11%	116	+1.4
✕Patrick Wisdom 2023 · MLB	31	39→45	64→70	46→50	45	.219/.303/.462	.243	.291	33	9	36%	9%	115	+2.7	.218/.298/.468	.250	.284	34	10	35%	9%	115	+2.7	.202/.282/.474	.273	.244	39	11	36%	9%	109	+1.0
✕Khris Davis 2020 · MLB	32	42→50	67→70	48→45	49	.244/.322/.493	.249	.278	37	2	28%	10%	131	+3.9	.234/.307/.442	.208	.280	28	3	27%	9%	111	+2.5	.208/.272/.456	.248	.233	33	0	28%	7%	95	+0.5
✕Mike Yastrzemski 2022 · MLB	31	46→49	62→65	46→50	51	.250/.331/.491	.241	.292	29	6	25%	10%	133	+4.0	.228/.315/.428	.200	.277	23	6	25%	10%	110	+2.4	.230/.321/.425	.195	.272	22	5	23%	11%	107	+1.7
✕Justin Upton 2019 · MLB	31	50→59	61→65	47→55	50	.259/.339/.481	.222	.323	29	10	28%	10%	134	+4.1	.237/.323/.441	.204	.296	28	7	29%	10%	117	+2.9	.207/.298/.402	.196	.248	28	4	29%	10%	94	+0.6
●Mike Napoli 2013 · MLB	31	47→56	64→65	45→50	55	.254/.349/.494	.240	.295	32	5	26%	12%	141	+4.6	.246/.351/.451	.205	.319	25	4	28%	13%	131	+3.9	.238/.347/.428	.190	.309	23	3	28%	13%	115	+2.4
●Jesús Aguilar 2020 · MLB	30	49→50	59→60	46→40	52	.256/.337/.463	.207	.302	27	2	25%	10%	128	+3.7	.252/.325/.439	.187	.286	25	2	21%	9%	117	+2.9	.244/.309/.422	.178	.274	24	0	20%	8%	102	+1.3
✕Mark Trumbo 2017 · MLB	31	46→51	63→65	44→45	46	.256/.311/.486	.230	.290	33	3	25%	7%	124	+3.4	.247/.302/.441	.194	.291	27	3	25%	7%	108	+2.3	.242/.296/.407	.165	.288	23	1	25%	7%	94	+1.0
✕C.J. Cron 2022 · MLB	32	48→53	60→65	47→40	52	.257/.341/.476	.218	.289	28	3	22%	9%	134	+4.1	.244/.311/.423	.179	.294	22	2	24%	8%	108	+2.3	.237/.294/.403	.166	.287	21	0	25%	7%	89	+0.7
✕Logan Morrison 2019 · MLB	31	41→51	59→65	47→45	55	.229/.321/.440	.211	.254	28	4	23%	11%	116	+2.8	.236/.309/.458	.222	.257	30	4	22%	8%	116	+2.8	.246/.299/.515	.270	.245	40	0	21%	5%	123	+1.5
✕Pedro Álvarez 2017 · MLB	30	45→47	61→65	47→45	51	.246/.320/.467	.221	.285	31	5	26%	10%	123	+3.3	.232/.286/.425	.193	.281	27	3	27%	7%	98	+1.6	.220/.267/.398	.178	.264	26	1	28%	6%	79	+0.2
●Russell Branyan 2007 · MLB	31	46→45	64→70	50→45	53	.244/.342/.491	.247	.321	32	5	33%	12%	137	+4.3	.243/.338/.491	.248	.315	33	6	32%	12%	136	+4.2	.248/.338/.516	.268	.304	37	3	30%	11%	135	+3.0
✕Hunter Renfroe 2023 · MLB	31	44→46	62→70	42→45	48	.245/.307/.469	.224	.271	31	3	23%	8%	118	+3.0	.233/.297/.411	.178	.268	22	2	22%	8%	98	+1.6	.220/.288/.375	.155	.255	18	1	21%	8%	81	+0.2
✕Justin Bour 2019 · MLB	31	49→55	58→60	49→40	58	.256/.349/.455	.199	.293	27	3	22%	12%	131	+3.9	.228/.323/.426	.198	.275	26	4	26%	12%	113	+2.6	.197/.296/.401	.204	.229	28	2	28%	12%	92	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)