Luke Maile — OGILVIE

Luke MaileC Omaha Storm Chasers

Age 35 R/R 6'3" / 225 lbs AAA HR -5%BB +4% Svc 11.000 · Ctrl thru 2026 peak 0.5 · 2026

wRC+†vL 8775vR 50

AVG/OBP/SLG.202 / .295 / .320

PA183

HR4

K%28

BB%10

MLB%10%

Scouting · now → future

HIT

35→35

PWR

40→40

SPD

25→25

EYE

58↘55

Contract

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

Status FA

MLB Debut 2015

Service 11.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+0.5	$2M	+$0.1M
Totals		$2M		$2M	+$0.1M

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	22	A	2 teams	422	389	94	20	3	3	27	75	0	8	2	.242	.291	.332	.622	.090	.287	18	6	.273	67	-16	+1	+0	+8	+12	0.5
2014	23	AA	2 teams	425	391	91	17	3	5	26	103	5	2	1	.233	.289	.330	.619	.097	.301	24	6	.272	66	-16	+0	+0	+8	+12	0.4
2015	24	AAA	2 teams	372	342	63	11	1	4	22	67	4	1	1	.184	.242	.257	.499	.073	.215	18	6	.223	29	-30	-0	+1	+7	+11	-1.2
2016	25	AAA	2 teams	340	319	69	18	0	4	14	79	3	0	1	.216	.256	.310	.566	.094	.275	23	4	.247	47	-20	-0	+5	+6	+10	-0.0
2017	26	MLB	3 teams	211	202	30	5	0	2	6	52	2	1	0	.149	.181	.203	.384	.054	.188	25	3	.171	-11	-27	+0	+4	+4	+6	-1.3
2018	27	MLB	Toronto Blue Jays	231	202	50	12	1	3	25	67	2	2	0	.248	.336	.361	.698	.114	.351	29	11	.314	99	-0	+0	+13	+4	+7	2.4
2019	28	MLB	Toronto Blue Jays	129	119	18	2	1	2	8	33	0	1	0	.151	.205	.235	.440	.084	.190	26	6	.197	9	-13	+0	+5	+2	+4	-0.2
2021	30	AAA	2 teams	189	166	36	12	0	1	18	66	4	2	0	.217	.309	.307	.616	.090	.354	35	10	.277	70	-6	+0	+0	+3	+5	0.3
2022	31	MLB	2 teams	226	198	49	12	0	5	22	58	3	0	0	.247	.332	.384	.716	.136	.319	26	10	.310	96	-1	+0	+5	+4	+6	1.5
2023	32	MLB	Cincinnati Reds	199	179	41	10	0	5	14	49	5	2	1	.229	.303	.369	.672	.140	.288	25	7	.297	86	-3	+0	+2	+4	+6	0.8
2024	33	MLB	Cincinnati Reds	154	135	24	4	0	2	13	52	4	2	0	.178	.270	.252	.522	.074	.268	34	8	.236	39	-11	+0	-2	+3	+4	-0.5
2025	34	AAA	2 teams	155	132	30	4	0	2	20	42	1	3	0	.227	.333	.303	.636	.076	.318	27	13	.290	80	-3	+1	+1	+3	+4	0.6
▸ 2026 Season
2026	35	MLB	KC	183	160	32	6	0	4	18	50	3	3	1	.200	.293	.312	.605	.112	.266	27	10	.284	75	-5	+0	+1	+3	+5	0.5
▸ Career Totals (MLE all levels + projections)
Career	—			3236	2934	627	133	9	42	233	793	36	27	7	.214	.280	.308	.588	.094	.276	25	7	.262	58	-152	+3	+36	+58	+92	3.7
/ 162G	—			650	589	126	27	2	8	47	159	7	5	1	.214	.280	.307	.587	.093	.277	24	7	.262	58	-31	+1	+7	+12	+18	0.8

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	22	A	Bowling Green Hot Rods	407	361	102	25	3	4	41	54	0	8	2	.283	.356	.402	.757	.119	.318	13	10	.337	116	+7	+1	—	—	+12	2.0
2013	22	INTL	Salt River Rafters	15	12	2	0	0	0	2	5	0	0	0	.167	.286	.167	.452	.000	.250	33	13	.214	22	-1	+0	—	—	+0	-0.1
2014	23	AA	Montgomery Biscuits	393	351	93	19	4	5	35	76	5	1	1	.265	.340	.385	.725	.120	.324	19	9	.326	108	+3	-0	—	—	+11	1.5
2014	23	INTL	Surprise Saguaros	32	28	6	1	0	1	3	10	0	1	0	.214	.290	.357	.647	.143	.278	31	9	.284	75	-1	+0	—	—	+1	0.0
2015	24	MLB	Tampa Bay Rays	35	35	6	3	0	0	0	8	0	0	0	.171	.171	.257	.429	.086	.222	23	0	.188	2	-4	+0	+1	+7	+1	0.5
2015	24	AAA	Durham Bulls	337	294	61	9	1	5	35	50	4	1	1	.207	.300	.296	.596	.088	.231	15	10	.275	68	-12	-0	—	—	+10	-0.3
2016	25	MLB	Tampa Bay Rays	126	119	27	7	0	3	4	36	0	0	0	.227	.252	.361	.613	.134	.300	29	3	.265	61	-6	+0	+5	+6	+4	0.9
2016	25	AAA	Durham Bulls	214	194	47	13	0	2	16	36	3	0	1	.242	.310	.340	.650	.098	.288	17	7	.295	84	-4	-0	—	—	+6	0.2
2017	26	MLB	Toronto Blue Jays	136	130	19	5	0	2	3	35	2	1	0	.146	.178	.231	.409	.085	.181	26	2	.184	-1	-16	+0	+4	+4	+4	-0.4
2017	26	AAA	Buffalo Bisons	58	54	9	0	0	0	4	12	0	0	0	.167	.224	.167	.391	.000	.214	21	7	.189	3	-6	+0	—	—	+2	-0.5
2017	26	A+	Dunedin Blue Jays	17	17	3	0	0	0	0	1	0	0	0	.176	.176	.176	.353	.000	.188	6	0	.160	-20	-2	+0	—	—	+0	-0.2
2018	27	MLB	Toronto Blue Jays	231	202	50	13	1	3	25	67	2	2	0	.248	.336	.366	.703	.119	.351	29	11	.317	101	+0	+0	+13	+4	+7	2.5
2019	28	MLB	Toronto Blue Jays	129	119	18	2	1	2	8	33	0	1	0	.151	.205	.235	.440	.084	.190	26	6	.199	11	-13	+0	+5	+2	+4	-0.2
2021	30	MLB	Milwaukee Brewers	34	30	9	4	0	0	3	7	1	0	0	.300	.382	.433	.816	.133	.391	21	9	.367	139	+2	+0	+0	+3	+1	0.6
2021	30	AAA	Nashville Sounds	155	129	29	9	0	1	22	50	3	2	0	.225	.351	.318	.668	.093	.359	32	14	.312	97	-1	+0	—	—	+4	0.4
2022	31	MLB	Cleveland Guardians	206	181	40	10	0	3	19	54	3	0	0	.221	.305	.326	.631	.105	.291	26	9	.286	77	-5	+0	+5	+4	+6	1.0
2022	31	AAA	Columbus Clippers	20	16	9	2	0	2	4	3	0	0	0	.562	.650	1.062	1.712	.500	.636	15	20	.702	395	+7	+0	—	—	+1	0.7
2023	32	MLB	Cincinnati Reds	199	179	42	10	0	6	14	49	5	2	1	.235	.308	.391	.699	.156	.290	25	7	.313	98	-1	+0	+2	+4	+6	1.1
2024	33	MLB	Cincinnati Reds	154	135	24	4	0	2	13	52	4	2	0	.178	.270	.252	.522	.074	.268	34	8	.244	45	-10	+0	-2	+3	+4	-0.4
2025	34	MLB	Kansas City Royals	54	45	11	2	0	1	7	16	0	1	0	.244	.346	.356	.702	.111	.357	30	13	.311	96	-0	+0	+1	+3	+2	0.6
2025	34	AAA	Omaha Storm Chasers	101	82	23	3	0	1	18	22	1	2	0	.280	.416	.354	.770	.073	.373	22	18	.361	134	+4	+0	—	—	+3	0.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1304	1175	246	60	2	22	96	357	17	9	1	.209	.279	.320	.599	.111	.279	27	7	.270	65	-52	+1	+35	+39	+37	6.2

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
Luke Maile (OGILVIE)	35	35	40	25	55	.202/.295/.320	.118	.266	4	3	28%	10%	75	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Treanor 2012 · MLB	36	45	41→40	40	56	.216/.313/.306	.090	.257	9	6	19%	11%	79	+0.3	.216/.312/.331	.115	.267	11	8	22%	11%	84	+0.6	.161/.271/.266	.105	.201	10	5	24%	11%	41	-0.5
✕Chad Moeller 2010 · MLB	35	44	42→50	43→30	43	.215/.267/.323	.107	.265	9	4	22%	6%	62	-0.9	.219/.274/.333	.114	.268	9	6	21%	6%	68	-0.5	.200/.257/.297	.097	.249	4	0	20%	5%	47	-0.4
✕Nick Green 2013 · MLB	34	43→47	46→50	41→45	41	.219/.266/.354	.135	.264	14	5	23%	4%	70	-0.3	.206/.253/.324	.118	.265	13	6	27%	4%	56	-1.3	.168/.216/.255	.087	.223	11	1	29%	4%	20	-2.6
✕Jonathan Aceves 2013 · AAA	35	44	49→55	41→30	42	.227/.275/.375	.148	.279	18	5	26%	6%	79	+0.3	.223/.277/.366	.143	.268	18	4	24%	6%	78	+0.2	.243/.313/.364	.121	.289	14	1	20%	7%	90	+0.5
✕Carlos M. Rodriguez 2017 · AAA	35	41→44	44→55	42→40	38	.205/.261/.316	.111	.296	12	4	34%	6%	58	-1.2	.225/.270/.356	.131	.326	14	4	34%	5%	72	-0.2	.225/.271/.358	.134	.329	15	1	35%	5%	69	-0.3
✕Jamie Burke 2008 · MLB	36	50→48	44→45	39→30	46	.242/.293/.357	.115	.269	11	3	15%	5%	82	+0.5	.231/.279/.325	.094	.269	8	5	17%	5%	67	-0.5	.211/.260/.275	.064	.255	4	1	18%	5%	44	-0.5
✕A.J. Ellis 2016 · MLB	35	47→51	44→45	41→40	62	.228/.331/.345	.117	.261	12	2	17%	13%	95	+1.4	.230/.324/.353	.123	.266	13	5	18%	11%	95	+1.4	.229/.323/.331	.102	.271	10	2	18%	11%	82	+0.2
✕Adam Hyzdu 2006 · MLB	34	45→44	49→50	39→45	51	.227/.309/.373	.146	.293	17	6	27%	10%	93	+1.3	.222/.298/.372	.150	.280	17	8	26%	10%	88	+0.9	.210/.290/.359	.149	.258	17	7	25%	10%	81	+0.4
✕Humberto Quintero 2015 · MLB	35	48	44→45	41→40	38	.237/.269/.357	.120	.290	11	5	22%	3%	71	-0.3	.234/.264/.339	.105	.290	11	7	23%	3%	64	-0.8	.234/.256/.313	.080	.283	11	3	22%	2%	51	-0.8
✕Tuffy Gosewisch 2019 · MLB	35	40→44	42→45	44→40	44	.200/.262/.306	.106	.254	9	3	25%	6%	56	-1.3	.200/.266/.306	.106	.274	10	6	29%	6%	58	-1.2	.153/.231/.224	.071	.219	10	0	34%	6%	20	-0.8
✕Gary Bennett 2007 · MLB	35	46	42→40	44→40	52	.225/.292/.326	.101	.256	10	4	16%	8%	74	-0.1	.235/.289/.351	.116	.255	12	6	13%	7%	79	+0.3	.242/.283/.323	.081	.259	7	4	9%	5%	63	-0.2
✕Shawn Wooten 2006 · MLB	34	46→45	47→50	38→30	46	.230/.284/.359	.128	.256	16	3	18%	6%	79	+0.3	.215/.262/.313	.098	.261	10	3	21%	5%	57	-1.2	.197/.245/.263	.066	.249	6	1	22%	5%	35	-1.1
✕Mike DiFelice 2003 · MLB	34	44	45→50	45→30	46	.222/.280/.350	.128	.267	13	4	22%	7%	75	-0.0	.228/.289/.365	.137	.269	13	5	20%	7%	82	+0.5	.220/.284/.348	.129	.267	13	2	22%	7%	75	-0.0
✕Chad Mottola 2006 · MLB	34	41→44	51→55	40→45	41	.218/.260/.378	.160	.253	20	5	23%	5%	74	-0.1	.224/.263/.377	.153	.270	18	8	24%	5%	75	-0.0	.224/.262/.376	.153	.268	18	8	24%	4%	70	-0.2
✕Mike Rivera 2012 · MLB	35	41	43→55	44→45	45	.203/.277/.316	.113	.277	11	6	29%	8%	66	-0.6	.214/.273/.323	.109	.289	11	7	29%	6%	65	-0.7	.206/.260/.274	.068	.278	8	0	28%	4%	43	-0.6
✕Carlos Orrantia 2017 · AAA	35	49→55	39→45	43→55	42	.234/.276/.319	.085	.288	7	8	21%	5%	64	-0.8	.233/.270/.319	.086	.297	8	10	24%	5%	61	-1.0	.253/.281/.303	.050	.329	5	9	24%	4%	57	-0.5
✕Paul Hoover 2010 · MLB	34	45	41→45	43→45	41	.220/.270/.318	.099	.299	8	5	28%	6%	62	-0.9	.223/.279/.318	.095	.306	6	5	27%	6%	65	-0.7	.225/.284/.315	.090	.309	4	0	26%	6%	59	-0.6
✕Dustin Garneau 2021 · MLB	33	41→38	49→50	44→45	45	.210/.289/.361	.151	.270	17	4	28%	8%	82	+0.5	.197/.276/.372	.175	.256	22	5	31%	8%	80	+0.4	.153/.238/.328	.175	.182	24	1	32%	7%	52	-0.5
✕Lou Merloni 2007 · MLB	36	50→46	43→45	40	46	.245/.303/.358	.113	.285	10	5	18%	6%	86	+0.8	.224/.280/.314	.090	.261	7	5	16%	6%	65	-0.7	.214/.270/.281	.067	.249	3	1	15%	6%	49	-1.3
✕Luke Carlin 2015 · AAA	34	43	41→45	44→45	51	.211/.283/.309	.098	.255	9	6	21%	9%	66	-0.6	.194/.280/.292	.098	.247	7	7	23%	9%	60	-1.0	.129/.251/.188	.059	.173	0	3	22%	12%	22	-1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)