Dane Myers — OGILVIE

Dane MyersCF Cincinnati Reds

Age 30 R/R 6'0" / 205 lbs MLB HR +9%K -4% Svc 2.215S2 · Ctrl thru 2029 peak 1.9 · 2026

wRC+†vL 134106vR 53

AVG/OBP/SLG.255 / .319 / .385

PA376

HR9

SB15

K%25

BB%8

MLB%100%

Scouting · now → future

HIT

50→50

PWR

50→50

SPD

60→60

EYE

47↗55

trajectory · 10 yrs

1.3peak

2026

Contract

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

Status Pre-Arb SUPER-2

MLB Debut 2023

Service 2.215 yrs.days

Team Control Through 2029

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$0.8M	+1.9	$15M	+$14M
2027	Arb-2	$3M	+1.4	$12M	+$9M
2028	Arb-3	$4M	+1.0	$8M	+$5M
2029	Arb-4	$4M	+0.7	$3M	+$0.0M (cut)
Totals		$10M		$38M	+$28M

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
2021	25	AA	3 teams	179	159	40	8	1	4	11	63	5	5	1	.252	.320	.390	.710	.138	.379	35	6	.299	87	-3	+1	+0	+1	+5	0.4
2022	26	AA	2 teams	488	457	103	16	2	22	17	169	9	21	5	.225	.267	.414	.681	.188	.301	35	3	.290	80	-11	+2	+0	+2	+14	0.7
2023	27	AAA	4 teams	597	538	150	19	3	16	41	138	12	30	6	.279	.343	.414	.758	.136	.344	23	7	.332	112	+8	+4	-1	+2	+17	3.1
2024	28	AAA	3 teams	264	237	56	12	1	6	20	89	5	12	2	.236	.309	.371	.680	.135	.347	34	8	.307	93	-2	+2	+0	-3	+7	0.5
2025	29	MLB	2 teams	348	320	73	10	0	6	25	82	2	18	5	.228	.288	.316	.604	.087	.288	24	7	.273	67	-13	+2	-1	+1	+10	-0.1
▸ 2026 Season (actual · ROS · total)
2026	30	MLB	Cincinnati Reds	38	31	8	0	0	1	6	6	1	1	0	.258	.395	.355	.750	.097	.292	16	16	.347	124	+1	+0	+1	+0	+1	0.3
ROS	30	MLB	CIN	338	303	78	11	1	9	28	81	4	14	3	.257	.328	.389	.718	.132	.322	24	8	.321	104	+1	+2	+1	+1	+10	1.5
TOT	30	MLB	CIN	376	334	86	11	1	10	34	87	5	15	3	.257	.335	.386	.721	.129	.318	23	9	.324	106	+2	+2	+2	+1	+11	1.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB	CIN	361	324	83	12	1	9	30	83	4	13	2	.256	.327	.383	.710	.127	.314	23	8	.317	101	+0	+2	-2	+1	+10	1.2
2028	32	MLB	CIN	342	307	77	11	1	8	28	80	4	11	2	.251	.322	.371	.693	.121	.313	23	8	.313	97	-1	+1	-2	+1	+10	0.9
2029	33	MLB	CIN	312	280	70	10	1	7	25	75	4	9	1	.250	.320	.368	.688	.118	.312	24	8	.307	93	-2	+1	-3	+1	+9	0.6
2030	34	MLB	CIN	269	242	59	8	1	6	22	67	3	7	1	.244	.315	.360	.674	.116	.310	25	8	.301	88	-4	+1	-4	+1	+8	0.2
2031	35	MLB	CIN	217	196	46	6	1	4	17	56	2	5	0	.235	.302	.337	.639	.102	.309	26	8	.293	83	-4	+1	-5	+1	+6	-0.1
2032	36	MLB	CIN	161	145	33	4	0	3	13	44	2	3	0	.228	.300	.317	.617	.090	.306	27	8	.285	76	-4	+1	-6	+1	+5	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			3876	3508	868	127	13	100	277	1027	56	148	28	.247	.313	.377	.689	.129	.319	26	7	.306	92	-34	+18	-21	+10	+110	8.5
/ 162G	—			650	588	145	21	2	17	46	172	9	25	5	.247	.311	.376	.686	.129	.318	26	7	.306	92	-6	+3	-4	+2	+18	1.4

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
2021	25	AA	Erie SeaWolves	104	97	27	5	1	3	4	27	1	0	1	.278	.314	.443	.757	.165	.353	26	4	.328	109	+1	-0	—	—	+3	0.4
2021	25	A+	West Michigan Whitecaps	15	12	4	1	0	1	3	1	0	0	0	.333	.467	.667	1.133	.333	.300	7	20	.485	229	+2	+0	—	—	+0	0.3
2021	25	A	Lakeland Flying Tigers	60	45	14	3	0	0	9	20	4	5	0	.311	.466	.378	.843	.067	.519	33	15	.384	152	+4	+1	—	—	+2	0.6
2022	26	AAA	Toledo Mud Hens	46	43	11	3	0	0	1	15	2	1	1	.256	.304	.326	.630	.070	.393	33	2	.288	79	-1	-0	—	—	+1	0.0
2022	26	AA	Erie SeaWolves	442	407	109	18	2	25	23	118	7	20	4	.268	.318	.506	.824	.238	.315	27	5	.356	131	+15	+2	—	—	+13	3.1
2023	27	MLB	Miami Marlins	70	67	18	3	0	1	2	19	0	1	1	.269	.290	.358	.648	.090	.354	27	3	.286	77	-2	-0	-1	+2	+2	0.2
2023	27	AAA	Jacksonville Jumbo Shrimp	223	192	65	8	1	8	23	43	5	6	2	.339	.423	.516	.938	.177	.396	19	10	.411	173	+18	+0	—	—	+6	2.6
2023	27	AA	Pensacola Blue Wahoos	215	182	53	6	2	7	27	37	5	14	1	.291	.397	.462	.859	.170	.331	17	13	.383	151	+12	+2	—	—	+6	2.1
2023	27	INTL	Gigantes del Cibao	89	79	21	2	0	1	7	16	2	9	2	.266	.341	.329	.670	.063	.317	18	8	.307	93	-1	+1	—	—	+3	0.3
2024	28	MLB	Miami Marlins	108	95	25	6	1	3	8	36	3	4	1	.263	.340	.442	.782	.179	.379	33	7	.342	120	+2	+0	+0	-3	+3	0.3
2024	28	AAA	Jacksonville Jumbo Shrimp	121	105	26	5	0	3	14	34	2	4	0	.248	.347	.381	.728	.133	.338	28	12	.332	112	+2	+1	—	—	+3	0.6
2024	28	INTL	Gigantes del Cibao	35	29	8	0	1	1	6	11	0	4	1	.276	.400	.448	.848	.172	.412	31	17	.380	149	+2	+0	—	—	+1	0.3
2025	29	MLB	Miami Marlins	333	307	72	10	0	6	23	77	2	18	5	.235	.292	.326	.618	.091	.293	23	7	.281	73	-10	+2	-1	+1	+9	0.2
2025	29	AAA	Jacksonville Jumbo Shrimp	15	12	2	0	0	0	3	4	0	0	0	.167	.333	.167	.500	.000	.250	27	20	.260	57	-1	+0	—	—	+0	-0.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			511	469	115	19	1	10	33	132	5	23	7	.245	.302	.354	.656	.109	.317	26	6	.294	83	-10	+2	-1	+1	+14	0.7

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
Dane Myers (OGILVIE)	30	50	50	60	55	.256/.327/.384	.128	.315	10	15	22%	8%	104	+1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tyler Greene 2013 · MLB	29	48→51	49→50	56→55	44	.237/.303/.391	.154	.314	16	23	29%	7%	95	+1.4	.228/.276/.352	.124	.329	12	15	33%	5%	73	-0.1	.224/.267/.328	.104	.336	8	10	34%	4%	60	-0.7
✕Tim Locastro 2022 · MLB	30	47→52	45	56→60	46	.231/.321/.355	.124	.275	11	25	20%	6%	95	+1.4	.213/.294/.340	.127	.263	12	24	23%	5%	80	+0.4	.211/.301/.325	.114	.266	11	36	23%	5%	76	+0.0
✕Jon Berti 2020 · MLB	30	52→59	45	60	47	.254/.322/.384	.130	.317	12	32	23%	8%	101	+1.8	.245/.333/.363	.118	.314	11	30	23%	10%	101	+1.8	.259/.328/.356	.097	.323	8	39	21%	9%	90	+0.6
✕Will Venable 2014 · MLB	31	51→56	52→55	61→60	47	.256/.313/.434	.178	.304	18	27	22%	7%	110	+2.4	.235/.296/.363	.128	.294	13	19	23%	8%	85	+0.7	.216/.282/.309	.093	.277	9	16	24%	8%	60	-0.7
●Cameron Maybin 2017 · MLB	30	54→59	42→50	53→55	51	.261/.325/.372	.111	.312	9	20	19%	8%	98	+1.6	.254/.331/.382	.128	.313	11	25	21%	10%	104	+2.0	.250/.335/.386	.135	.313	13	27	23%	11%	104	+1.3
✕Jonathan Villar 2021 · MLB	30	53→58	48→50	58→65	48	.260/.326/.398	.138	.331	16	34	25%	8%	106	+2.2	.241/.303/.386	.145	.309	17	22	26%	8%	94	+1.3	.232/.294/.377	.145	.296	17	20	27%	8%	83	+0.4
●Harrison Bader 2023 · MLB	29	50→55	51→55	54→55	46	.254/.312/.415	.161	.300	18	20	22%	6%	105	+2.1	.240/.292/.372	.132	.286	15	23	21%	6%	85	+0.7	.240/.297/.372	.133	.292	15	22	23%	6%	85	+0.5
✕Austin Slater 2023 · MLB	30	52→61	51→50	58→55	53	.255/.346/.421	.167	.328	19	24	26%	11%	121	+3.2	.248/.333/.379	.131	.338	14	13	28%	10%	105	+2.1	.238/.322/.345	.107	.332	12	7	29%	10%	89	+0.4
✕Fred Lewis 2011 · MLB	30	56→60	45→50	55	51	.264/.339/.411	.147	.335	9	19	23%	9%	115	+2.7	.251/.325/.391	.140	.322	11	18	24%	9%	104	+2.0	.249/.324/.388	.139	.324	12	19	25%	9%	97	+1.0
✕Josh Rojas 2023 · MLB	29	53→55	45→50	52→55	54	.257/.335/.385	.128	.318	12	17	22%	10%	106	+2.2	.239/.309/.351	.112	.301	10	16	22%	9%	87	+0.8	.220/.291/.317	.097	.279	9	15	23%	9%	67	-0.3
✕Greg Allen 2023 · MLB	30	51→56	44→45	60→65	45	.243/.333/.365	.121	.319	11	34	25%	7%	102	+1.8	.225/.314/.348	.123	.296	10	36	26%	7%	90	+1.0	.214/.305/.335	.121	.286	9	40	26%	7%	80	+0.1
✕Jeremy Hazelbaker 2018 · MLB	30	49→54	50→55	61→60	42	.240/.299/.407	.168	.334	16	19	32%	8%	97	+1.5	.205/.269/.355	.150	.321	16	18	38%	7%	72	-0.2	.162/.233/.306	.144	.260	16	20	42%	7%	40	-1.4
✕Alejandro De Aza 2014 · MLB	30	55→61	46→50	53→55	48	.268/.328/.403	.135	.322	12	22	20%	7%	108	+2.3	.251/.317/.390	.139	.313	12	16	22%	8%	101	+1.8	.241/.314/.377	.137	.305	11	14	23%	8%	91	+0.7
✕Drew Stubbs 2015 · MLB	30	49→57	48→50	57→60	44	.241/.302/.382	.141	.329	15	25	30%	8%	92	+1.2	.229/.304/.365	.136	.336	15	22	33%	9%	89	+0.9	.204/.291/.315	.111	.311	12	23	35%	10%	67	-0.3
●Ryan Roberts 2011 · MLB	30	48→52	45→50	52→55	51	.236/.306/.365	.128	.284	12	16	21%	9%	89	+1.0	.234/.307/.370	.136	.275	15	15	20%	9%	92	+1.2	.233/.307/.361	.129	.271	15	13	19%	10%	86	+0.6
✕Darnell McDonald 2009 · AAA	30	51→56	44→55	56→55	43	.250/.295/.374	.124	.310	11	25	23%	6%	86	+0.8	.254/.301/.411	.157	.315	15	16	23%	6%	99	+1.7	.259/.310/.432	.173	.315	17	12	23%	6%	104	+1.2
✕Brandon Guyer 2016 · MLB	30	54→56	44→55	54→55	47	.259/.334/.392	.133	.302	10	17	17%	6%	108	+2.3	.245/.338/.382	.137	.284	13	9	18%	6%	109	+2.4	.224/.327/.357	.133	.262	14	4	19%	6%	94	+0.6
✕Ben Francisco 2012 · MLB	30	50→56	49→55	48→55	54	.249/.328/.404	.155	.277	16	15	17%	9%	109	+2.4	.225/.289/.341	.116	.274	10	9	21%	8%	76	+0.0	.206/.259/.298	.092	.263	7	6	23%	6%	48	-0.8
✕Chris Dickerson 2011 · MLB	29	55	46→50	59→60	51	.260/.337/.403	.144	.350	12	25	27%	10%	111	+2.5	.243/.312/.365	.122	.339	10	27	29%	9%	92	+1.2	.246/.321/.390	.144	.339	13	22	29%	9%	100	+1.0
●Eduardo Núñez 2017 · MLB	30	54→62	48→50	57→60	46	.269/.308/.413	.145	.294	16	30	15%	5%	102	+1.9	.272/.305/.411	.139	.295	15	23	13%	4%	101	+1.8	.266/.293/.391	.125	.288	13	18	13%	3%	89	+0.6

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)