Gage Workman — OGILVIE

Gage Workman3B Toledo Mud Hens

Age 26 L/R 6'4" / 202 lbs AAA HR +5%H +3% Svc 1.000 · Ctrl thru 2030 peak 1.2 · 2027

wRC+†91

AVG/OBP/SLG.203 / .273 / .368

PA250

HR8

SB15

K%39

BB%8

MLB%10%

Scouting · now → future

HIT

20→20

PWR

50→50

SPD

55→55

FLD

70→70

EYE

48↘30

trajectory · 10 yrs

1.1peak

2027

Contract

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

Status Pre-Arb

MLB Debut 2025

Service 1.000 yrs.days

Team Control Through 2030

First FA Year 2027

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Pre-Arb	$0.6M	+0.8	$3M	+$3M
2027	Pre-Arb	$0.8M	+1.2	$10M	+$9M
2028	Arb-1	$2M	+1.2	$10M	+$8M
2029	Arb-2	$4M	+1.1	$10M	+$6M
2030	Arb-3	$5M	+0.9	$4M	+$0.0M (cut)
Totals		$12M		$37M	+$25M

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	A+	2 teams	513	469	86	27	5	10	36	218	3	31	8	.183	.246	.326	.572	.143	.310	42	7	.247	47	-31	+3	+0	+2	+15	-1.1
2022	22	AA	2 teams	576	542	91	23	9	13	27	296	1	32	10	.168	.209	.315	.524	.148	.328	51	5	.222	28	-47	+2	+0	+2	+16	-2.7
2023	23	AA	2 teams	412	371	70	12	2	10	33	182	5	19	3	.189	.264	.313	.577	.124	.330	44	8	.255	54	-22	+3	+0	+1	+12	-0.6
2024	24	AA	Erie SeaWolves	556	511	123	23	6	17	39	193	3	30	13	.241	.298	.409	.707	.168	.349	35	7	.307	93	-4	+1	+0	+2	+16	1.5
2025	25	AAA	2 teams	375	338	65	16	6	14	32	162	3	13	2	.192	.268	.399	.668	.207	.311	43	9	.286	77	-10	+2	-2	+1	+11	0.3
▸ 2026 Season (actual · ROS · total)
2026	26	AAA	Toledo Mud Hens	94	86	23	7	0	2	6	29	1	8	2	.267	.323	.419	.741	.151	.375	31	6	.322	105	+0	+1	+0	+0	+3	0.4
ROS	26	MLB	DET	156	142	31	7	1	5	12	59	1	7	2	.218	.284	.387	.671	.169	.328	38	8	.294	83	-3	+1	+0	+1	+4	0.3
TOT	26	MLB	DET	250	228	54	14	1	7	18	88	2	15	4	.237	.298	.399	.698	.162	.348	35	7	.305	91	-2	+1	+0	+1	+7	0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 19%	DET	395	356	80	18	3	12	33	123	3	17	5	.225	.296	.393	.689	.169	.303	31	8	.306	93	-3	+1	+1	+1	+11	1.2
2028	28	MLB 24%	DET	403	363	81	18	3	12	34	123	3	17	4	.223	.295	.388	.683	.165	.302	31	8	.307	93	-3	+2	+1	+1	+11	1.2
2029	29	MLB 30%	DET	398	358	81	18	3	12	34	121	3	16	4	.226	.299	.394	.693	.168	.300	30	9	.305	92	-4	+2	-0	+1	+11	1.1
2030	30	MLB 36%	DET	394	355	79	17	3	12	33	121	3	15	4	.223	.294	.389	.683	.166	.299	31	8	.303	90	-4	+1	-1	+1	+11	0.9
2031	31	MLB 40%	DET	379	341	74	16	2	11	32	118	3	12	3	.217	.290	.372	.662	.155	.297	31	8	.299	87	-6	+1	-2	+1	+11	0.6
2032	32	MLB 49%	DET	360	324	69	15	2	10	30	114	3	10	2	.213	.286	.364	.650	.151	.296	32	8	.294	83	-7	+1	-2	+1	+10	0.4
2033	33	MLB 57%	DET	330	296	63	14	2	9	28	107	3	8	2	.213	.287	.365	.652	.152	.294	32	8	.289	79	-8	+1	-3	+1	+9	0.0
2034	34	MLB 67%	DET	286	258	53	11	2	7	24	95	2	6	1	.205	.278	.345	.623	.140	.292	33	8	.282	74	-8	+1	-4	+1	+8	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			5533	5024	1046	235	49	154	427	2032	39	233	63	.208	.275	.366	.642	.158	.311	37	8	.283	75	-159	+21	-11	+20	+157	2.8
/ 162G	—			650	590	123	28	6	18	50	239	5	27	7	.208	.276	.368	.644	.159	.312	37	8	.283	75	-19	+3	-1	+2	+18	0.3

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	A+	West Michigan Whitecaps	285	257	61	21	2	9	23	97	2	9	5	.237	.305	.440	.745	.202	.338	34	8	.325	107	+2	-0	—	—	+8	1.0
2021	21	A	Lakeland Flying Tigers	228	195	50	16	4	3	30	60	1	22	3	.256	.358	.426	.784	.169	.353	26	13	.348	124	+6	+3	—	—	+6	1.6
2022	22	AA	Erie SeaWolves	515	475	107	30	9	14	34	206	1	30	9	.225	.278	.415	.693	.189	.359	40	7	.302	89	-6	+2	—	—	+15	1.1
2022	22	INTL	Salt River Rafters	61	57	11	1	2	2	3	24	0	2	1	.193	.233	.386	.619	.193	.281	39	5	.266	61	-3	+0	—	—	+2	-0.1
2023	23	AA	Erie SeaWolves	214	178	34	9	2	7	31	83	3	11	1	.191	.321	.382	.703	.191	.300	39	14	.316	100	+0	+2	—	—	+6	0.8
2023	23	A+	West Michigan Whitecaps	198	177	51	6	1	6	17	56	2	8	2	.288	.355	.435	.790	.147	.388	28	9	.351	127	+6	+1	—	—	+6	1.3
2024	24	AA	Erie SeaWolves	556	483	135	29	6	18	65	153	3	30	13	.280	.367	.476	.843	.197	.371	28	12	.371	142	+26	+1	—	—	+16	4.4
2025	25	MLB	Chicago White Sox	17	16	3	1	0	0	1	7	0	1	0	.188	.235	.250	.485	.062	.333	41	6	.223	29	-1	+0	-2	+1	+0	-0.1
2025	25	AAA	Toledo Mud Hens	358	309	71	19	6	15	44	137	3	12	2	.230	.331	.476	.807	.246	.352	38	12	.353	128	+11	+2	—	—	+10	2.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			17	16	3	1	0	0	1	7	0	1	0	.188	.235	.250	.485	.062	.333	41	6	.223	29	-1	+0	-2	+1	+0	-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
Gage Workman (OGILVIE)	26	20	50	55	30	.203/.273/.368	.165	.316	8	8	39%	8%	78	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zac Cook 2023 · AA	25	39	49→55	50	33	.186/.279/.331	.145	.324	17	15	44%	6%	72	-0.2	.191/.273/.321	.130	.335	15	17	45%	5%	66	-0.6	.139/.224/.249	.110	.261	17	29	50%	4%	25	-0.8
✕Peyton Burdick 2023 · MLB	26	36→33	52→55	50	44	.192/.280/.359	.167	.275	20	12	36%	9%	79	+0.3	.185/.266/.345	.160	.294	20	12	41%	8%	69	-0.4	.162/.246/.317	.156	.267	21	12	45%	8%	51	-1.1
✕Willie MacIver 2023 · AAA	26	38→35	48→45	50→55	39	.196/.260/.330	.134	.279	17	14	35%	7%	62	-0.9	.216/.292/.346	.130	.312	13	16	33%	8%	79	+0.3	.230/.309/.359	.129	.323	13	18	30%	8%	87	+0.4
✕Corey Ray 2021 · AAA	26	38→36	48→50	54→55	34	.191/.247/.337	.146	.315	16	19	43%	6%	58	-1.2	.204/.247/.353	.149	.310	18	12	38%	5%	62	-0.9	.186/.225/.350	.164	.267	20	13	38%	4%	49	-0.7
✕Jordan Qsar 2023 · AAA	27	40→37	54→55	51→50	37	.196/.269/.374	.178	.330	22	13	45%	8%	77	+0.1	.206/.286/.364	.158	.338	18	15	41%	9%	82	+0.5	.192/.293/.348	.156	.303	19	20	39%	11%	80	+0.2
✕Drew Robinson 2017 · AAA	25	36→41	51→55	51→50	43	.193/.267/.354	.161	.275	19	14	36%	9%	71	-0.3	.212/.286/.373	.161	.316	18	12	36%	9%	84	+0.6	.207/.288/.362	.155	.320	17	12	37%	10%	78	+0.1
✕Jonathan Van Every 2007 · AAA	27	42→44	54→55	51→50	39	.212/.280/.390	.178	.321	21	13	39%	7%	85	+0.7	.232/.297/.412	.180	.360	21	9	38%	8%	98	+1.6	.221/.293/.398	.177	.348	22	7	40%	8%	90	+0.6
✕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
✕Jeren Kendall 2022 · AA	26	36→26	50	53→60	35	.173/.248/.325	.152	.326	19	21	50%	8%	56	-1.3	.170/.247/.283	.113	.325	12	28	47%	8%	45	-2.1	.114/.205/.207	.093	.215	10	43	48%	9%	5	-2.2
✕John Rave 2023 · AAA	25	43	49→50	54→50	43	.216/.286/.357	.142	.309	18	17	35%	8%	79	+0.3	.217/.284/.358	.141	.299	15	15	31%	8%	79	+0.3	.214/.283/.361	.147	.282	16	17	29%	8%	76	+0.0
✕Blake Tekotte 2013 · MLB	26	41→46	49→50	51→55	42	.214/.272/.363	.149	.285	17	21	31%	7%	75	-0.0	.200/.258/.323	.123	.274	11	14	30%	6%	59	-1.1	.194/.258/.314	.119	.261	10	10	28%	6%	53	-0.8
✕Travis Blankenhorn 2023 · MLB	26	44→43	51→55	49→50	41	.225/.284/.382	.157	.302	19	12	32%	7%	85	+0.7	.208/.276/.381	.173	.269	22	5	31%	7%	82	+0.5	.184/.258/.359	.175	.232	23	1	31%	7%	66	-0.4
✕Mark Contreras 2022 · AAA	27	38	49→50	50→55	37	.194/.258/.343	.149	.284	16	15	36%	6%	65	-0.7	.203/.264/.339	.136	.292	16	23	35%	6%	66	-0.6	.192/.256/.306	.115	.275	14	30	34%	6%	50	-1.2
✕J.J. Matijevic 2022 · AAA	26	39→41	53→55	52→50	39	.204/.265/.374	.170	.305	21	9	39%	8%	76	+0.0	.217/.279/.391	.174	.301	21	11	33%	7%	85	+0.7	.211/.275/.382	.171	.285	20	12	32%	7%	78	+0.2
✕Sam Hilliard 2021 · MLB	27	39→48	51→55	52→55	38	.203/.259/.359	.156	.299	19	18	38%	7%	69	-0.4	.200/.272/.377	.177	.278	23	15	35%	9%	79	+0.3	.203/.279/.381	.178	.280	21	18	34%	9%	80	+0.2
✕Aaron Shackelford 2023 · AAA	26	33→32	52→50	50→45	35	.187/.241/.350	.163	.273	21	8	40%	6%	59	-1.1	.190/.257/.333	.143	.286	17	9	38%	7%	62	-0.9	.168/.256/.294	.126	.247	15	10	36%	9%	50	-1.2
✕Jared Mitchell 2015 · AAA	26	41→44	47→50	51→55	41	.197/.276/.331	.134	.321	14	16	40%	9%	69	-0.4	.196/.264/.304	.108	.333	11	17	41%	8%	56	-1.3	.158/.225/.235	.077	.290	6	20	45%	8%	18	-2.3
✕Kameron Misner 2023 · AA	25	43→42	47→50	55	44	.205/.290/.346	.141	.322	15	23	38%	10%	79	+0.3	.199/.286/.348	.149	.313	16	23	38%	10%	78	+0.2	.189/.277/.340	.150	.286	16	25	37%	10%	69	-0.3
✕Niko Hulsizer 2023 · AAA	26	44→30	57→60	52→50	36	.209/.277/.403	.194	.362	26	15	46%	8%	89	+0.9	.196/.276/.350	.154	.313	18	11	40%	9%	75	-0.0	.162/.256/.294	.133	.250	16	8	39%	10%	50	-1.3
✕Kyle Russell 2012 · AAA	26	41→44	54→60	51→45	38	.208/.273/.395	.187	.323	22	9	41%	7%	84	+0.6	.202/.269/.353	.151	.309	17	7	38%	8%	72	-0.2	.181/.255/.315	.133	.272	15	6	37%	8%	56	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)