Grant Witherspoon

Grant WitherspoonOF Arkansas Travelers

Age 29 L/L 6'1" / 200 lbs AA HR +3% Svc 0.0 · Ctrl thru 2034

wRC+†66

AVG/OBP/SLG.196 / .271 / .326

PA176

HR5

K%34

BB%8

MLB%2%

trajectory · 10 yrs

-0.3peak

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	Arb-3	$0.9M	—	—	—
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		$-11M		$-11M	+$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
2018	21	ROK	Princeton Rays	235	218	38	5	2	4	12	84	3	8	1	.174	.227	.271	.498	.096	.260	36	5	.216	24	-20	+1	+0	-1	+7	-1.4
2019	22	A	Bowling Green Hot Rods	490	454	86	16	3	6	30	137	2	22	6	.189	.243	.278	.520	.088	.254	28	6	.231	35	-36	+2	+0	-3	+14	-2.4
2020	23	INTL	Perth Heat	82	72	24	9	1	4	9	21	0	7	0	.333	.407	.653	1.060	.319	.417	26	11	—	—	—	—	+0	-0	—	—
2021	24	A+	Bowling Green Hot Rods	429	397	85	14	1	18	27	144	0	13	6	.214	.264	.390	.655	.176	.279	34	6	.285	76	-11	+0	+0	-3	+12	-0.2
2022	25	AAA	2 teams	471	435	101	21	3	15	29	137	5	15	6	.232	.288	.398	.686	.166	.302	29	6	.295	84	-8	+1	+0	-3	+13	0.3
2023	26	INTL	3 teams	534	478	95	15	3	14	48	187	4	15	7	.199	.277	.331	.608	.132	.289	35	9	.271	65	-21	+0	+0	-3	+15	-0.9
2024	27	AA	Arkansas Travelers	157	141	18	2	1	3	13	65	1	2	2	.128	.206	.220	.426	.092	.203	41	8	.194	7	-17	-0	+0	-1	+4	-1.4
▸ 2026 Season
2026	29	MLB	SEA	176	157	32	6	1	5	15	60	2	3	1	.204	.282	.350	.632	.146	.282	34	9	.272	66	-7	+0	+0	-1	+5	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB 9%	SEA	245	220	44	8	1	6	21	82	2	4	1	.200	.276	.327	.603	.127	.281	33	9	.274	68	-9	+0	-2	-1	+7	-0.5
2028	31	MLB 19%	SEA	246	221	44	8	1	6	21	81	2	3	1	.199	.275	.326	.600	.127	.281	33	9	.274	68	-9	+0	-3	-1	+7	-0.6
2029	32	MLB 29%	SEA	238	214	43	8	1	6	20	79	2	2	1	.201	.275	.332	.607	.131	.280	33	8	.272	66	-9	+0	-4	-1	+7	-0.7
2030	33	MLB 40%	SEA	215	193	38	7	1	5	18	72	2	1	0	.197	.272	.321	.594	.124	.279	33	8	.268	63	-9	+0	-4	-1	+6	-0.8
2031	34	MLB 54%	SEA	177	158	30	5	1	4	15	61	2	0	0	.190	.269	.310	.579	.120	.277	34	8	.261	58	-8	+0	-5	-1	+5	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			3695	3358	678	124	20	96	278	1210	27	95	32	.202	.268	.337	.605	.135	.280	33	8	.257	55	-187	+6	-17	-22	+105	-11.8
/ 162G	—			650	591	120	22	4	17	49	213	5	17	6	.203	.270	.340	.610	.137	.282	33	8	.257	55	-33	+1	-3	-4	+18	-2.1

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
2018	21	ROK	Princeton Rays	235	212	52	8	3	5	18	59	3	8	1	.245	.313	.382	.695	.137	.315	25	8	.310	95	-1	+1	—	—	+7	0.7
2019	22	A	Bowling Green Hot Rods	490	440	109	24	5	10	44	101	2	22	6	.248	.319	.393	.712	.145	.297	21	9	.317	101	+0	+2	—	—	+14	1.7
2020	23	INTL	Perth Heat	82	72	24	9	1	4	9	21	0	7	0	.333	.407	.653	1.060	.319	.417	26	11	.449	202	+9	+1	—	—	+2	1.3
2021	24	A+	Bowling Green Hot Rods	429	386	104	20	2	22	38	109	0	13	6	.269	.335	.503	.837	.233	.315	25	9	.362	136	+17	+0	—	—	+12	3.0
2022	25	AAA	Durham Bulls	260	224	54	14	1	10	31	65	3	5	2	.241	.340	.446	.786	.205	.293	25	12	.348	124	+7	+0	—	—	+7	1.5
2022	25	AA	Montgomery Biscuits	211	194	57	11	3	7	14	47	2	10	4	.294	.348	.490	.837	.196	.355	22	7	.367	139	+9	+0	—	—	+6	1.6
2023	26	AAA	Toledo Mud Hens	141	117	24	6	0	3	22	42	2	3	0	.205	.340	.333	.674	.128	.292	30	16	.314	99	-0	+1	—	—	+4	0.4
2023	26	AA	Erie SeaWolves	165	144	38	5	2	7	20	42	1	6	5	.264	.358	.472	.830	.208	.326	25	12	.367	139	+7	-1	—	—	+5	1.1
2023	26	INTL	Sultanes de Monterrey	228	192	47	14	0	11	31	59	1	6	2	.245	.353	.490	.842	.245	.288	26	14	.365	137	+10	+0	—	—	+6	1.7
2024	27	AA	Arkansas Travelers	157	137	21	3	1	3	17	53	1	2	2	.153	.252	.255	.507	.102	.220	34	11	.236	38	-11	-0	—	—	+4	-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
Grant Witherspoon (OGILVIE)	29	—	—	—	—	.196/.271/.326	.130	.282	5	3	34%	8%	66	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Michael Pérez 2023 · MLB	30	34	49→50	45→40	46	.185/.257/.324	.139	.228	18	4	28%	8%	59	-1.1	.194/.268/.328	.134	.254	17	4	30%	8%	65	-0.7	.175/.254/.294	.120	.232	15	0	31%	8%	49	-0.8
✕Brandon Hicks 2015 · MLB	29	36→40	50	46→50	41	.190/.266/.341	.151	.284	18	7	38%	8%	68	-0.5	.188/.260/.304	.116	.308	13	8	40%	8%	55	-1.4	.166/.236/.251	.085	.293	9	8	44%	8%	28	-1.3
✕Ryan Cordell 2021 · MLB	29	42→41	45→55	49→50	40	.211/.264/.333	.122	.283	13	11	30%	6%	63	-0.8	.207/.271/.370	.163	.326	22	14	41%	7%	77	+0.1	.151/.220/.316	.164	.233	26	18	47%	7%	40	-0.9
✕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
✕Ryan Fitzgerald 2023 · AAA	29	38→44	51→55	44→45	42	.204/.266/.370	.166	.256	18	7	28%	6%	75	-0.0	.210/.273/.363	.153	.278	16	9	29%	7%	76	+0.0	.225/.292/.365	.140	.286	14	7	25%	7%	80	+0.2
✕Matt Skole 2018 · AAA	29	37→39	51→50	46→40	44	.201/.264/.359	.158	.247	20	3	28%	7%	71	-0.3	.199/.271/.339	.140	.267	16	4	31%	8%	69	-0.4	.188/.269/.317	.129	.256	16	2	31%	9%	61	-0.8
✕Tim Pahuta 2012 · AA	29	39	52→55	44→40	36	.213/.248/.376	.163	.278	21	5	32%	4%	68	-0.5	.211/.256/.365	.154	.275	18	5	30%	5%	69	-0.4	.193/.241/.339	.147	.245	17	2	29%	5%	54	-1.1
✕Connor Hoover 2023 · AA	27	34→30	47→50	50	44	.181/.258/.318	.137	.259	15	13	35%	9%	58	-1.2	.189/.267/.321	.132	.273	16	12	35%	9%	63	-0.9	.160/.249/.296	.136	.218	19	12	36%	9%	46	-1.0
✕Jake Hager 2022 · MLB	29	36→46	48→50	52→50	40	.194/.248/.334	.140	.266	17	10	34%	6%	57	-1.2	.203/.262/.317	.114	.278	10	9	29%	7%	59	-1.1	.194/.252/.288	.094	.273	7	7	30%	6%	44	-0.8
✕Dom Nuñez 2023 · MLB	28	36→43	45→50	46→45	49	.185/.271/.311	.126	.259	12	4	32%	10%	62	-0.9	.176/.265/.289	.113	.261	11	6	34%	10%	54	-1.4	.147/.248/.254	.107	.221	11	4	36%	11%	36	-1.2
✕Kevin Richardson 2010 · AAA	29	36	48→50	43→40	35	.191/.246/.323	.132	.283	17	3	38%	5%	54	-1.4	.200/.247/.340	.140	.324	17	5	42%	5%	59	-1.1	.191/.237/.332	.141	.307	18	2	42%	4%	49	-0.8
✕Patrick Dorrian 2023 · AAA	27	38→37	50→55	47→45	41	.196/.266/.350	.154	.290	19	6	38%	8%	70	-0.3	.196/.260/.343	.147	.289	18	6	37%	7%	65	-0.7	.181/.245/.318	.137	.261	18	5	37%	7%	49	-1.0
✕Grayson Greiner 2022 · MLB	29	40	44→45	47→30	40	.200/.262/.313	.113	.299	13	4	36%	7%	58	-1.2	.195/.259/.307	.112	.360	12	6	45%	7%	55	-1.4	.163/.227/.268	.105	.321	15	3	51%	7%	28	-0.9
✕Quincy Latimore 2017 · AA	28	41→42	48→50	46→50	41	.210/.264/.348	.138	.277	16	8	30%	6%	67	-0.5	.214/.263/.345	.131	.291	16	7	31%	6%	66	-0.6	.216/.254/.339	.124	.283	17	6	30%	4%	57	-0.8
✕Austin Hedges 2022 · MLB	29	34→38	49→60	46→45	42	.188/.247/.325	.137	.233	19	5	29%	6%	56	-1.3	.181/.242/.281	.100	.223	13	6	25%	6%	41	-2.3	.158/.222/.225	.067	.203	8	4	26%	7%	16	-1.2
✕Jose Manuel Orozco 2019 · AAA	28	45	47→50	47→45	39	.224/.271/.354	.130	.303	15	10	31%	6%	72	-0.2	.234/.282/.385	.151	.334	17	10	34%	5%	85	+0.7	.237/.283/.399	.163	.342	20	6	35%	5%	87	+0.4
✕Taylor Featherston 2019 · MLB	29	38→45	45→50	54→50	37	.192/.249/.311	.118	.281	13	12	35%	6%	52	-1.6	.183/.238/.309	.126	.331	15	9	47%	5%	47	-1.9	.155/.208/.283	.128	.303	17	5	52%	4%	25	-2.6
✕Adam Fox 2011 · AAA	29	38→44	47→50	50→45	41	.201/.252/.331	.130	.251	16	9	27%	5%	58	-1.2	.202/.247/.332	.130	.256	13	9	26%	5%	56	-1.3	.183/.221/.321	.138	.225	13	6	25%	4%	37	-1.1
✕Jason Smith 2006 · MLB	29	42→35	47→55	51→50	38	.215/.250/.359	.145	.271	14	14	27%	4%	64	-0.8	.220/.260/.375	.155	.300	18	10	32%	5%	72	-0.2	.208/.246/.368	.159	.291	19	5	35%	4%	62	-0.5
✕Aaron Rifkin 2007 · AAA	28	42→43	48→50	47→45	45	.216/.276/.361	.145	.270	15	8	26%	7%	76	+0.1	.222/.273/.365	.143	.300	15	6	30%	5%	76	+0.0	.217/.266/.358	.142	.294	15	3	31%	5%	69	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)