Damon Keith — OGILVIE

Damon KeithRF Biloxi Shuckers

Age 26 R/R 6'3" / 195 lbs AA BB +10%HR +7% Svc 0.0 · Ctrl thru 2034

wRC+†72

AVG/OBP/SLG.187 / .247 / .323

PA250

HR7

SB5

K%40

BB%7

MLB%2%

Scouting · now → future

HIT

35→35

PWR

45→45

SPD

50→50

EYE

43↘40

trajectory · 10 yrs

-0.5peak

2027

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	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-10M		$-32M	-$22M

Underwater contract
Projected production over the remaining contract is worth -$22M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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	21	ROK	ACL Dodgers	86	74	16	4	1	1	8	36	3	2	0	.216	.318	.338	.655	.122	.395	42	9	.284	76	-2	+0	+0	-1	+2	-0.0
2022	22	A	2 teams	540	467	103	23	3	12	60	179	11	5	4	.221	.323	.360	.683	.139	.327	33	11	.303	90	-6	-1	+0	-6	+15	0.3
2023	23	A+	2 teams	518	475	86	18	1	10	37	218	4	4	3	.181	.246	.286	.532	.105	.305	42	7	.238	40	-35	-0	+0	-6	+15	-2.7
2024	24	AA	2 teams	337	310	61	12	1	13	23	134	3	13	6	.197	.259	.368	.627	.171	.293	40	7	.273	67	-12	+0	+0	-4	+10	-0.6
2025	25	AA	Tulsa Drillers	362	331	60	9	2	10	21	147	2	9	5	.181	.234	.311	.546	.130	.275	41	6	.239	41	-24	-0	+0	-4	+10	-1.8
▸ 2026 Season (actual · ROS · total)
2026	26	AA	Biloxi Shuckers	37	32	9	3	0	1	3	10	2	1	1	.281	.378	.469	.847	.188	.381	27	8	.354	129	+1	-0	+0	-0	+1	0.2
ROS	26	MLB	MIL	213	194	38	7	1	6	15	83	2	4	2	.196	.261	.335	.596	.139	.298	39	7	.266	62	-9	+0	+0	-2	+6	-0.5
TOT	26	MLB	MIL	250	226	47	10	1	7	18	93	4	5	3	.208	.278	.354	.632	.146	.315	37	7	.279	72	-8	-0	+0	-3	+7	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 11%	MIL	269	244	49	10	1	8	20	95	3	5	3	.201	.270	.348	.618	.148	.290	35	7	.276	69	-9	-0	+0	-3	+8	-0.5
2028	28	MLB 22%	MIL	319	289	59	12	1	9	24	110	3	6	3	.204	.272	.346	.618	.142	.290	34	8	.278	71	-10	+0	-1	-3	+9	-0.6
2029	29	MLB 34%	MIL	344	311	64	13	1	10	26	118	4	5	3	.206	.276	.350	.626	.145	.289	34	8	.279	71	-11	-0	-1	-4	+10	-0.7
2030	30	MLB 44%	MIL	359	325	65	13	1	10	27	123	4	5	3	.200	.270	.338	.608	.138	.288	34	8	.277	70	-12	-0	-2	-4	+10	-0.8
2031	31	MLB 58%	MIL	357	323	65	13	1	10	27	124	4	3	2	.201	.271	.341	.612	.139	.286	35	8	.273	67	-13	-0	-3	-4	+10	-1.0
2032	32	MLB 76%	MIL	347	314	61	12	1	9	26	122	4	2	2	.194	.265	.325	.589	.131	.285	35	7	.268	63	-14	-0	-4	-4	+10	-1.2
2033	33	MLB 93%	MIL	322	292	56	11	1	8	24	116	3	1	2	.192	.260	.318	.579	.127	.283	36	7	.263	59	-15	-1	-4	-3	+9	-1.4
2034	34	MLB	MIL	281	255	48	9	1	7	21	103	3	0	2	.188	.258	.314	.572	.125	.281	37	7	.256	54	-15	-1	-5	-3	+8	-1.6
▸ Career Totals (MLE all levels + projections)
Career	—			4654	4204	831	166	17	123	359	1708	53	64	40	.198	.269	.333	.602	.135	.295	37	8	.269	64	-189	-3	-20	-50	+132	-13.2
/ 162G	—			650	587	115	23	2	17	50	239	7	9	6	.196	.267	.329	.595	.133	.293	37	8	.269	64	-26	-1	-3	-7	+18	-1.9

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	21	ROK	ACL Dodgers	86	69	23	6	3	1	13	24	3	2	0	.333	.459	.551	1.010	.217	.489	28	15	.438	193	+9	+0	—	—	+2	1.2
2022	22	A+	Great Lakes Loons	124	103	21	4	1	5	21	33	0	0	1	.204	.339	.408	.746	.204	.246	27	17	.337	116	+2	-0	—	—	+4	0.5
2022	22	A	Rancho Cucamonga Quakes	416	334	100	23	4	12	69	95	11	5	3	.299	.435	.500	.935	.201	.384	23	17	.414	175	+35	-0	—	—	+12	4.8
2023	23	A+	Great Lakes Loons	439	389	89	21	1	11	44	146	4	4	3	.229	.314	.373	.686	.144	.333	33	10	.309	95	-3	-0	—	—	+12	1.0
2023	23	INTL	Glendale Desert Dogs	79	71	18	4	1	4	8	25	0	0	0	.254	.329	.507	.836	.254	.333	32	10	.365	137	+3	+0	—	—	+2	0.6
2024	24	AA	Tulsa Drillers	318	282	73	15	2	16	32	94	3	13	6	.259	.341	.496	.837	.238	.329	30	10	.366	139	+14	+0	—	—	+9	2.4
2024	24	ROK	ACL Dodgers	19	15	6	1	0	1	4	4	0	0	0	.400	.526	.667	1.193	.267	.500	21	21	.515	252	+3	+0	—	—	+1	0.4
2025	25	AA	Tulsa Drillers	362	319	72	12	3	11	33	111	2	9	5	.226	.302	.386	.688	.160	.298	31	9	.302	89	-4	-0	—	—	+10	0.6

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
Damon Keith (OGILVIE)	26	35	45	50	40	.187/.247/.323	.136	.290	7	5	40%	7%	55	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brock Kjeldgaard 2012 · AA	26	41→43	50	48→45	35	.203/.267/.357	.153	.322	18	8	41%	6%	72	-0.2	.192/.268/.344	.152	.297	19	5	40%	8%	69	-0.4	.166/.251/.314	.148	.246	21	1	40%	9%	53	-1.1
✕Daniel Amaral 2023 · AA	26	41	47→40	48→55	41	.209/.268/.341	.133	.288	15	14	32%	7%	68	-0.5	.231/.302/.338	.107	.302	9	28	25%	8%	81	+0.4	.241/.322/.332	.091	.312	6	48	22%	9%	85	+0.3
✕Logan Hill 2019 · AA	26	39→40	50	41→45	39	.205/.267/.356	.151	.290	19	5	35%	6%	72	-0.2	.209/.270/.357	.148	.300	18	4	35%	7%	73	-0.1	.198/.259/.343	.145	.279	17	1	34%	6%	62	-0.8
✕Jacob Heyward 2022 · AA	26	38→40	50	42→50	44	.192/.286/.345	.153	.293	18	8	38%	10%	78	+0.2	.193/.266/.328	.135	.309	17	5	40%	8%	64	-0.8	.160/.236/.267	.107	.265	15	1	43%	8%	34	-1.7
✕Luke Ritter 2023 · AAA	26	38→43	49→55	46→45	38	.193/.263/.335	.141	.298	18	8	40%	7%	65	-0.7	.205/.288/.366	.161	.311	21	6	38%	9%	83	+0.6	.200/.290/.358	.157	.304	21	4	38%	9%	79	+0.2
✕Brahiam Maldonado 2012 · AA	26	39→44	53→55	48→50	36	.205/.259/.374	.168	.298	21	9	38%	6%	72	-0.2	.208/.256/.350	.142	.279	17	9	31%	5%	65	-0.7	.204/.246/.322	.118	.259	13	7	26%	4%	48	-0.8
✕Cory Vaughn 2015 · AAA	26	38→40	45	54→50	42	.196/.270/.318	.122	.273	13	15	32%	7%	63	-0.8	.193/.258/.302	.109	.284	11	12	34%	7%	53	-1.5	.153/.220/.254	.100	.233	9	9	36%	7%	22	-1.3
✕Sean Coyle 2017 · AAA	25	36	45→50	48→50	37	.186/.248/.306	.120	.290	14	12	39%	7%	50	-1.7	.185/.245/.287	.102	.286	9	10	36%	7%	43	-2.2	.153/.212/.244	.092	.224	3	6	32%	7%	14	-1.0
✕Casey Golden 2021 · A	26	37→33	51→55	48→50	32	.184/.257/.335	.151	.325	20	11	47%	6%	63	-0.9	.205/.272/.349	.144	.410	16	7	50%	7%	72	-0.2	.180/.247/.347	.167	.394	21	2	55%	7%	59	-0.3
✕Brian Fletcher 2015 · AAA	26	44→41	48→50	46→45	35	.222/.265/.355	.133	.316	17	9	35%	4%	69	-0.4	.214/.265/.339	.125	.311	13	9	34%	6%	66	-0.6	.191/.245/.313	.122	.274	12	6	34%	6%	49	-0.9
✕Victor Roache 2018 · AA	26	39	46→50	47→45	33	.189/.243/.317	.129	.319	13	6	43%	6%	50	-1.7	.187/.240/.307	.120	.297	14	6	40%	6%	46	-2.0	.170/.223/.286	.116	.254	16	4	39%	6%	33	-2.3
✕Tyler Marincov 2018 · AA	26	40→41	45→50	44→50	38	.204/.257/.326	.122	.289	13	9	33%	6%	59	-1.1	.196/.253/.340	.144	.300	19	10	39%	6%	62	-0.9	.165/.222/.300	.135	.246	20	14	41%	7%	37	-1.6
✕Kody Kirkland 2009 · AAA	26	36→41	48→50	47→45	36	.189/.250/.329	.140	.276	15	9	36%	6%	57	-1.2	.199/.257/.313	.114	.279	10	10	31%	6%	56	-1.3	.172/.226/.260	.088	.236	6	7	29%	5%	25	-1.9
✕Nick Podkul 2023 · AAA	26	40	46→50	49→50	45	.202/.285/.330	.128	.282	15	9	32%	9%	72	-0.2	.215/.302/.373	.158	.297	19	5	32%	9%	92	+1.2	.211/.305/.392	.181	.283	23	1	32%	10%	92	+0.5
✕Joe Suozzi 2023 · A	25	40	44→45	53→50	33	.192/.259/.306	.114	.322	12	14	42%	6%	56	-1.3	.212/.281/.310	.098	.332	10	10	37%	7%	65	-0.7	.228/.297/.311	.083	.342	9	8	33%	7%	69	-0.3
✕Melky Mesa 2012 · AA	25	40→44	48→55	51→55	36	.201/.261/.345	.143	.304	15	17	38%	6%	66	-0.6	.218/.265/.371	.153	.310	18	17	35%	5%	74	-0.1	.215/.255/.374	.159	.296	21	17	34%	4%	66	-0.4
✕Davis Wendzel 2023 · AAA	26	35→28	49→50	43→40	41	.191/.255/.331	.140	.253	18	5	32%	7%	60	-1.0	.195/.273/.341	.146	.245	19	5	28%	8%	71	-0.3	.191/.275/.335	.144	.229	19	4	26%	8%	68	-0.4
✕Matthew Dyer 2023 · A	25	41	45→55	53→50	35	.196/.260/.316	.120	.325	12	13	41%	6%	58	-1.2	.197/.256/.303	.106	.347	10	12	43%	6%	52	-1.6	.163/.230/.247	.084	.305	4	17	44%	7%	24	-0.8
✕Stone Garrett 2022 · AA	26	39→37	50→60	50	31	.206/.241/.352	.146	.295	19	16	37%	4%	59	-1.1	.222/.273/.398	.176	.300	22	14	33%	6%	85	+0.7	.220/.282/.390	.169	.299	21	11	32%	7%	85	+0.4
✕Nellie Rodriguez 2019 · AAA	25	36→40	49→50	46→30	37	.184/.252/.328	.145	.309	18	2	44%	8%	58	-1.2	.190/.249/.334	.144	.335	18	4	46%	7%	58	-1.2	.154/.214/.297	.144	.268	20	0	49%	7%	33	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)