Logan Warmoth — OGILVIE

Logan WarmothSS Amarillo Sod Poodles

Age 30 R/R 5'11" / 195 lbs AA HR -5% Svc 0.0 · Ctrl thru 2034

wRC+†62

AVG/OBP/SLG.200 / .284 / .291

PA250

HR4

SB8

K%31

BB%9

MLB%2%

Scouting · now → future

HIT

34→34

PWR

31→31

SPD

54→54

EYE

56→56

trajectory · 10 yrs

-0.1peak

2026

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	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$-5M		$-5M	+$0.0M

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
2017	21	ROK	GCL Blue Jays	23	22	5	0	0	1	1	3	0	1	0	.227	.261	.364	.625	.136	.222	13	4	.238	40	-2	+0	+0	+0	+1	-0.0
2018	22	A+	2 teams	338	302	64	12	2	1	23	106	6	9	0	.212	.281	.275	.556	.063	.315	31	7	.244	45	-21	+2	+0	+4	+10	-0.6
2019	23	AA	3 teams	483	432	79	16	5	2	36	181	9	15	3	.183	.260	.257	.517	.074	.304	37	7	.232	36	-35	+2	+0	+5	+14	-1.5
2021	25	AAA	Buffalo Bisons	413	360	65	13	1	7	38	171	10	17	5	.181	.277	.281	.558	.100	.314	41	9	.247	47	-25	+1	+0	+4	+12	-0.7
2022	26	AAA	Buffalo Bisons	338	306	63	15	2	6	25	111	5	14	5	.206	.277	.327	.604	.121	.298	33	7	.268	63	-14	+1	+0	+4	+10	-0.0
2023	27	AA	Arkansas Travelers	429	379	73	14	1	8	36	144	9	28	10	.193	.278	.298	.576	.106	.280	34	8	.259	56	-21	+2	+0	+5	+12	-0.3
2024	28	AA	2 teams	275	238	38	5	0	1	27	83	4	10	2	.160	.257	.193	.450	.034	.234	30	10	.217	24	-24	+1	+0	+3	+8	-1.2
▸ 2026 Season
2026	30	MLB	ARI	250	222	45	8	1	4	22	78	4	8	3	.203	.286	.302	.588	.099	.289	31	9	.267	62	-11	+0	+0	+3	+7	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 9%	ARI	264	235	48	9	1	4	23	81	4	8	2	.204	.286	.302	.588	.098	.288	31	9	.269	64	-11	+1	-3	+3	+7	-0.3
2028	32	MLB 19%	ARI	263	234	48	9	1	4	23	81	4	6	2	.205	.287	.303	.591	.098	.287	31	9	.268	64	-11	+0	-4	+3	+7	-0.4
2029	33	MLB 29%	ARI	244	218	44	8	1	4	21	76	3	5	1	.202	.281	.303	.584	.101	.286	31	9	.266	62	-11	+1	-4	+3	+7	-0.5
2030	34	MLB 40%	ARI	210	187	38	7	1	3	18	66	3	4	1	.203	.284	.299	.583	.096	.284	31	9	.261	58	-10	+0	-5	+2	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			3530	3135	610	116	16	45	293	1181	61	125	34	.195	.276	.285	.561	.090	.292	33	8	.253	51	-194	+11	-15	+38	+100	-6.1
/ 162G	—			650	577	112	21	3	8	54	217	11	23	6	.194	.275	.282	.558	.088	.291	33	8	.253	51	-36	+2	-3	+7	+18	-1.1

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
2017	21	ROK	GCL Blue Jays	23	22	6	0	0	1	1	2	0	1	0	.273	.304	.409	.713	.136	.263	9	4	.318	101	+0	+0	—	—	+1	0.1
2018	22	A+	Dunedin Blue Jays	322	282	70	13	2	1	30	69	3	9	0	.248	.327	.319	.646	.071	.318	21	9	.292	82	-7	+2	—	—	+9	0.4
2018	22	ROK	GCL Blue Jays	16	11	3	0	0	0	2	4	3	0	0	.273	.500	.273	.773	.000	.429	25	12	.395	160	+1	+0	—	—	+0	0.2
2019	23	AA	New Hampshire Fisher Cats	254	220	44	11	3	0	22	74	7	12	2	.200	.293	.277	.570	.077	.295	29	9	.262	59	-12	+2	—	—	+7	-0.3
2019	23	A+	Dunedin Blue Jays	158	137	40	7	1	3	19	41	1	2	1	.292	.382	.423	.806	.131	.394	26	12	.361	135	+6	+0	—	—	+4	1.1
2019	23	INTL	Scottsdale Scorpions	71	61	18	6	0	1	9	22	1	1	0	.295	.394	.443	.837	.148	.447	31	13	.377	147	+4	+0	—	—	+2	0.6
2021	25	AAA	Buffalo Bisons	413	342	78	15	1	9	56	137	10	17	5	.228	.353	.357	.710	.129	.347	33	14	.324	106	+3	+1	—	—	+12	1.6
2022	26	AAA	Buffalo Bisons	338	293	67	18	2	7	38	94	5	14	5	.229	.327	.375	.703	.147	.309	28	11	.317	101	+0	+1	—	—	+10	1.1
2023	27	AA	Arkansas Travelers	429	360	86	17	1	8	55	115	9	28	10	.239	.354	.358	.712	.119	.322	27	13	.325	107	+3	+2	—	—	+12	1.7
2024	28	AAA	Tacoma Rainiers	94	75	13	1	0	1	12	21	3	5	1	.173	.311	.227	.538	.053	.218	22	13	.254	53	-5	+1	—	—	+3	-0.2
2024	28	AA	Amarillo Sod Poodles	181	150	29	5	0	1	28	44	1	5	1	.193	.324	.247	.571	.053	.262	24	15	.274	68	-7	+1	—	—	+5	-0.1

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
Logan Warmoth (OGILVIE)	30	34	31	54	56	.200/.284/.291	.091	.289	4	8	31%	9%	62	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zach Remillard 2023 · AAA	29	44→50	42→40	51→55	44	.216/.286/.318	.102	.292	10	18	28%	7%	69	-0.4	.210/.273/.302	.092	.282	8	18	27%	7%	59	-1.1	.192/.255/.272	.080	.256	7	19	26%	6%	41	-1.3
✕Daniel Hinojosa 2014 · AAA	30	47	38→40	50→55	40	.223/.265/.305	.081	.303	6	18	28%	5%	56	-1.3	.226/.261/.308	.082	.319	8	11	30%	4%	54	-1.4	.206/.260/.280	.074	.304	9	11	33%	6%	46	-0.5
✕Jack Reinheimer 2023 · AAA	31	43→51	40	55	40	.209/.262/.297	.088	.290	8	20	30%	6%	53	-1.5	.186/.232/.268	.082	.274	7	16	33%	5%	33	-2.9	.143/.180/.193	.050	.195	3	12	28%	4%	-11	-1.3
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	.195/.262/.284	.089	.273	9	13	30%	8%	50	-1.7	.197/.263/.291	.094	.306	9	10	36%	7%	53	-1.5	.156/.228/.224	.068	.265	5	5	40%	6%	17	-1.2
✕Josh Prince 2018 · AA	30	44→46	43→40	50→60	44	.215/.273/.321	.107	.283	10	16	27%	7%	64	-0.8	.232/.299/.347	.115	.329	11	14	30%	8%	82	+0.5	.231/.306/.335	.104	.330	10	15	30%	10%	79	+0.2
✕Kenny Wilson 2019 · AAA	29	46→50	39→40	53→60	43	.214/.282/.300	.086	.307	6	24	30%	7%	63	-0.9	.214/.277/.335	.121	.331	11	17	36%	7%	69	-0.4	.181/.243/.311	.130	.294	13	16	41%	6%	45	-0.6
✕Eric Stamets 2022 · MLB	30	37→47	43→45	55→50	41	.189/.250/.298	.109	.260	11	14	31%	6%	49	-1.8	.188/.258/.305	.117	.268	13	13	33%	7%	55	-1.4	.146/.225/.246	.100	.213	12	16	36%	6%	24	-1.3
✕Drew Jackson 2022 · AAA	29	42→45	45	56→55	45	.205/.290/.325	.121	.298	12	25	33%	9%	73	-0.1	.214/.291/.328	.114	.349	12	22	38%	9%	74	-0.1	.184/.261/.252	.069	.349	8	20	45%	8%	38	-0.9
✕Jack López 2023 · MLB	30	38→44	41→45	54→55	33	.191/.233/.290	.099	.290	9	19	36%	4%	39	-2.5	.207/.250/.324	.117	.300	12	16	34%	5%	55	-1.4	.207/.250/.317	.110	.296	12	15	33%	4%	50	-1.2
✕Anderson Machado 2010 · AAA	29	39→43	39→40	53→45	50	.190/.270/.278	.088	.256	6	14	27%	10%	52	-1.6	.205/.275/.294	.089	.287	5	7	28%	9%	58	-1.2	.225/.294/.316	.091	.326	2	0	29%	9%	69	-0.2
✕Horacio Vasquez 2016 · AAA	30	44	39→40	47→40	39	.213/.252/.293	.080	.278	7	8	26%	4%	47	-1.9	.226/.256/.302	.076	.291	6	9	24%	4%	50	-1.7	.245/.256/.277	.032	.313	0	6	21%	2%	42	-0.7
✕Deven Marrero 2021 · MLB	30	39→48	44→45	53→50	41	.199/.251/.311	.112	.272	12	12	31%	6%	52	-1.6	.211/.271/.328	.117	.293	14	10	31%	7%	65	-0.7	.198/.263/.297	.099	.273	13	8	31%	8%	50	-0.6
✕Jonathan Diaz 2015 · MLB	30	45→48	36→30	48→50	50	.209/.286/.275	.066	.260	4	12	20%	8%	58	-1.2	.207/.282/.272	.065	.259	4	8	20%	8%	56	-1.3	.198/.282/.250	.052	.248	3	6	20%	9%	48	-1.1
✕J.J. Furmaniak 2009 · MLB	30	45→50	44→45	51→50	42	.224/.279/.333	.109	.292	12	19	27%	6%	70	-0.3	.218/.268/.308	.090	.275	7	11	22%	6%	58	-1.2	.210/.257/.286	.076	.263	4	10	21%	5%	45	-1.4
✕Ray-Patrick Didder 2023 · AAA	28	42→46	43→45	53→60	39	.207/.274/.314	.107	.294	11	21	32%	6%	63	-0.8	.188/.283/.307	.119	.270	13	28	33%	9%	67	-0.5	.158/.273/.275	.117	.225	14	34	34%	10%	52	-1.1
✕Kristopher Negrón 2016 · MLB	30	43→50	41→45	52→55	41	.210/.264/.309	.099	.275	9	14	27%	5%	57	-1.2	.219/.273/.336	.117	.292	11	17	28%	5%	68	-0.5	.225/.289/.349	.123	.323	14	14	32%	7%	74	-0.0
✕Jake Wald 2010 · AAA	29	42→43	41→45	51→50	41	.203/.267/.304	.100	.289	8	10	31%	7%	57	-1.2	.186/.250/.270	.084	.313	6	8	39%	7%	41	-2.3	.127/.198/.171	.044	.256	2	2	47%	8%	-7	-2.3
✕Skyler Stromsmoe 2013 · AAA	29	46	38→40	50	46	.219/.285/.301	.082	.281	6	15	23%	7%	64	-0.8	.219/.295/.295	.076	.275	4	13	20%	8%	67	-0.5	.212/.296/.271	.058	.265	1	11	18%	8%	59	-0.4
✕Max McDowell 2023 · AAA	29	41→49	39→40	48→50	44	.195/.281/.280	.086	.270	6	10	28%	8%	59	-1.1	.195/.278/.296	.101	.279	12	6	32%	7%	61	-1.0	.172/.263/.263	.091	.251	13	1	35%	7%	45	-0.8
✕Tyler Ladendorf 2018 · MLB	30	42→49	38→40	48→50	41	.203/.248/.282	.079	.262	6	9	25%	5%	43	-2.2	.208/.265/.294	.086	.264	7	8	23%	7%	53	-1.5	.198/.255/.304	.105	.245	12	1	24%	6%	50	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)