Cooper Hummel

LF Durham Bulls

Age 32 S/R 5'9" / 198 lbs AAA HR -6%H +4% Svc 5.000 · Ctrl thru 2027

Overview

AAAArb-3FA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2023	28	AAASEA	455	.262/.410/.435	8	26	93	—	.221/.330/.351
2023	28	MLBSEA	26	.087/.192/.130	0	1	-1	-0.8
2024	29	AAAHOU	442	.277/.422/.454	10	15	105	—	.237/.340/.380
2025	30	AAATB	189	.297/.444/.635	13	2	115	—	.236/.342/.435
2025	30	MLBHOU	105	.170/.298/.273	3	1	70	-0.5
2026	31	No MLB games played
2027PROJ10% MLB	32	MLBTB	23	.226/.326/.389	1	0	103	0.0
2028PROJ33% MLB	33	MLBTB	67	.219/.318/.372	2	1	96	-0.1

Last 3 seasons WAR -1.3 · Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service5.000First FA2028

2027Arb-3$2M

Skills · percentileMiLB Statcast 2025 AAA

Max EV99

BB%95

Chase%88

Speed58

Whiff%56

Z-Con%55

CompsAbraham Almonte (age 33) · Aaron Hicks (age 32) · José Cruz Jr. (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 103103vR 103

AVG/OBP/SLG.226 / .326 / .389

PA23

HR1

K%26

BB%13

BABIP274

ISO200

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 55 / POW 60

Toolsscout grade · Statcast %ile · 2023-2025

CONTACT55

xAVG

100.185

POWER60

Barrel%

569.1

Avg EV

1986.8

Bat Spd

5471.8

EYE60

scouting grade only

SPEED45

Sprint

7128.3

Platoon Splits2025 · 105 PA

vs LHP

vs RHP

Edge

—

wRC+

111

◀◀L

wOBA

332

223

◀◀L

ISO

231

—

BABIP

208

233

▶R

26.7%

31.7%

◀◀L

BB%

11.1%

15.0%

▶▶R

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

Status Arb-3

MLB Debut 2022

Service 5.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$0.0M		$0.2M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2016	21	ROK	Helena Brewers	—	133	102	18	5	1	1	27	25	2	4	0	176	359	275	633	98	224	19	20	304	28	—	—	—	—	—	—
2017	22	A+	Carolina Mudcats	—	239	197	48	11	2	4	38	42	2	2	2	244	371	381	752	137	288	18	16	342	68	—	—	—	—	—	—
2018	23	A+	Carolina Mudcats	—	404	327	85	25	0	8	63	93	12	3	1	260	398	410	808	150	339	23	16	368	61	—	—	—	—	—	—
2019	24	AA	Biloxi Shuckers	—	419	342	85	8	5	17	62	100	14	4	7	249	385	450	835	202	301	24	15	375	80	—	—	—	—	—	—
2021	26	AAA	Reno Aces	—	366	293	91	21	6	12	63	61	4	4	1	311	439	546	985	235	350	17	17	425	120	—	—	—	—	—	—
2021	26	INTL	Salt River Rafters	—	40	26	5	2	0	0	12	13	0	0	1	192	447	269	717	77	333	32	30	341	117	—	—	—	—	—	—
2022	27	MLB	Arizona Diamondbacks	—	201	176	31	8	3	3	23	64	1	4	1	176	275	307	582	131	255	32	11	266	60	-9	+0	-6	-4	+4	-1.5
2022	27	AAA	Reno Aces	—	156	129	40	8	1	6	24	40	2	3	4	310	426	527	953	217	405	26	15	418	109	—	—	—	—	—	—
2022	27	INTL	Salt River Rafters	—	22	17	8	1	0	1	5	1	0	1	0	471	591	706	1.297	235	467	5	23	558	264	—	—	—	—	—	—
2023	28	MLB	Seattle Mariners	—	26	23	2	1	0	0	2	9	1	1	0	87	192	130	323	43	143	35	8	166	-1	-3	+0	-0	-5	+1	-0.8
2023	28	AAA	Tacoma Rainiers	—	455	363	95	27	6	8	82	106	9	26	6	262	410	435	845	174	348	23	18	382	93	—	—	—	—	—	—
2024	29	AAA	Sugar Land Space Cowboys	—	442	350	97	26	3	10	79	89	9	15	4	277	422	454	877	177	341	20	18	392	105	—	—	—	—	—	—
2025	30	MLB	Houston Astros	—	105	88	15	0	0	3	14	31	2	1	0	170	298	273	571	102	222	30	13	270	70	-4	+0	-1	-3	+2	-0.5
2025	30	AAA	Durham Bulls	—	189	148	44	3	4	13	35	43	4	2	3	297	444	635	1.079	338	330	23	19	457	115	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	332	287	48	9	3	6	39	104	4	6	1	167	276	282	558	115	236	31	12	260	62	-15	+1	-7	-12	+7	-2.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	21	ROK MLE	Helena Brewers	—	133	113	16	4	1	1	16	36	2	4	0	142	260	221	481	80	179	27	12	210	28	—	—	—	—	—	—
2017	22	A+ MLE	Carolina Mudcats	—	239	211	43	9	2	4	24	60	2	2	2	204	291	322	613	118	255	25	10	268	68	—	—	—	—	—	—
2018	23	A+ MLE	Carolina Mudcats	—	404	350	64	16	0	7	40	136	12	3	1	183	289	289	577	106	271	34	10	259	61	—	—	—	—	—	—
2019	24	AA MLE	Biloxi Shuckers	—	419	362	71	6	4	13	42	125	14	4	7	196	304	343	646	146	256	30	10	287	80	—	—	—	—	—	—
2021	26	AAA MLE	Reno Aces	—	366	311	80	17	5	9	45	74	4	4	1	257	358	431	789	174	294	20	12	345	120	—	—	—	—	—	—
2022	27	MLB MLE	Arizona Diamondbacks	—	201	176	29	7	2	3	23	64	1	4	1	165	265	278	543	114	255	32	11	257	60	-9	+0	-6	-4	+4	-1.5
2022	27	AAA MLE	Reno Aces	—	156	138	35	7	1	4	15	48	2	3	4	254	335	406	741	152	350	31	10	330	109	—	—	—	—	—	—
2023	28	MLB MLE	Seattle Mariners	—	26	23	2	1	0	0	2	9	1	1	0	87	192	130	323	43	143	35	8	167	-1	-3	+0	-0	-5	+1	-0.8
2023	28	AAA MLE	Tacoma Rainiers	—	455	390	86	24	6	5	55	124	9	26	6	221	330	351	682	131	308	27	12	305	93	—	—	—	—	—	—
2024	29	AAA MLE	Sugar Land Space Cowboys	—	442	379	90	24	3	8	50	106	9	15	4	237	340	380	720	142	304	24	11	323	105	—	—	—	—	—	—
2025	30	MLB MLE	Houston Astros	—	105	88	15	0	0	3	14	31	2	1	0	170	298	273	571	102	222	30	13	271	70	-4	+0	-1	-3	+2	-0.5
2025	30	AAA MLE	Durham Bulls	—	189	161	38	3	4	7	22	49	4	2	3	236	342	435	777	199	283	26	12	338	115	—	—	—	—	—	—
2016	21	ROK MLE	Helena Brewers	—	133	113	16	4	1	1	16	36	2	4	0	142	260	221	481	80	197	27	12	210	28	—	—	—	—	—	—
2016	21	ROK RAW	Helena Brewers	—	133	102	18	5	1	1	27	25	2	4	0	176	359	275	633	98	224	19	20	304	28	—	—	—	—	—	—
2017	22	A+ MLE	Carolina Mudcats	—	239	211	43	9	2	4	24	60	2	2	2	204	291	322	613	118	262	25	10	268	68	—	—	—	—	—	—
2017	22	A+ RAW	Carolina Mudcats	—	239	197	48	11	2	4	38	42	2	2	2	244	371	381	752	137	288	18	16	342	68	—	—	—	—	—	—
2018	23	A+ MLE	Carolina Mudcats	—	404	350	64	16	0	7	40	136	12	3	1	183	289	289	577	106	274	34	10	259	61	—	—	—	—	—	—
2018	23	A+ RAW	Carolina Mudcats	—	404	327	85	25	0	8	63	93	12	3	1	260	398	410	808	150	339	23	16	368	61	—	—	—	—	—	—
2019	24	AA MLE	Biloxi Shuckers	—	419	362	71	6	4	13	42	125	14	4	7	196	304	343	646	146	258	30	10	287	80	—	—	—	—	—	—
2019	24	AA RAW	Biloxi Shuckers	—	419	342	85	8	5	17	62	100	14	4	7	249	385	450	835	202	301	24	15	375	80	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	406	344	89	19	6	10	50	82	4	4	2	259	359	436	795	177	304	20	12	345	120	—	—	—	—	—	—
2021	26	AAA RAW	2 teams	—	406	319	96	23	6	12	75	74	4	4	2	301	440	524	963	223	349	18	18	417	120	—	—	—	—	—	—
2022	27	MLB MLE	3 teams	—	379	333	69	15	4	8	41	119	3	8	5	207	300	348	648	141	293	31	11	289	82	-8	-0	-6	-4	+8	-1.1
2022	27	MLB RAW	3 teams	—	379	322	79	17	4	10	52	105	3	8	5	245	355	416	772	171	330	28	14	346	82	-8	-0	-6	-4	+8	-1.1
2023	28	AAA MLE	2 teams	—	481	413	88	25	6	5	57	133	10	27	6	213	323	339	662	126	301	28	12	298	88	—	—	—	—	—	—
2023	28	AAA RAW	2 teams	—	481	386	97	28	6	8	84	115	10	27	6	251	398	417	815	166	337	24	17	370	88	—	—	—	—	—	—
2024	29	AAA MLE	Sugar Land Space Cowboys	—	442	379	90	24	3	8	50	106	9	15	4	237	340	380	720	142	305	24	11	323	105	—	—	—	—	—	—
2024	29	AAA RAW	Sugar Land Space Cowboys	—	442	350	97	26	3	10	79	89	9	15	4	277	422	454	877	177	341	20	18	392	105	—	—	—	—	—	—
2025	30	AAA MLE	2 teams	—	294	249	53	3	4	10	36	80	6	3	3	213	326	378	704	165	267	27	12	314	99	—	—	—	—	—	—
2025	30	AAA RAW	2 teams	—	294	236	59	3	4	16	49	74	6	3	3	250	392	500	892	250	291	25	17	390	99	—	—	—	—	—	—
2016	21	ROK MLE	Helena Brewers	—	133	114	16	4	1	1	16	36	2	4	0	140	260	219	479	79	179	27	12	210	28	—	—	—	—	—	—
2017	22	A+ MLE	Carolina Mudcats	—	239	211	43	9	2	4	24	60	2	2	2	204	291	322	613	118	255	25	10	268	68	—	—	—	—	—	—
2018	23	A+ MLE	Carolina Mudcats	—	404	349	64	16	0	7	40	136	12	3	1	183	289	289	578	106	271	34	10	259	61	—	—	—	—	—	—
2019	24	AA MLE	Biloxi Shuckers	—	419	360	71	6	4	13	42	125	14	4	7	197	304	344	648	147	256	30	10	287	80	—	—	—	—	—	—
2021	26	AAA MLE	2 teams	—	406	349	89	19	6	10	50	82	4	4	2	255	359	430	789	175	294	20	12	345	120	—	—	—	—	—	—
2022	27	MLB MLE	3 teams	—	379	332	69	15	4	8	41	119	3	8	5	208	300	349	649	142	296	31	11	289	82	—	—	—	—	—	—
2023	28	AAA MLE	2 teams	—	481	411	88	25	6	5	57	133	10	27	6	214	323	341	664	127	299	28	12	298	88	—	—	—	—	—	—
2024	29	AAA MLE	Sugar Land Space Cowboys	—	442	380	90	24	3	8	50	106	9	15	4	237	340	379	719	142	304	24	11	323	105	—	—	—	—	—	—
2025	30	AAA MLE	2 teams	—	294	250	53	3	4	10	36	80	6	3	3	212	326	376	702	164	261	27	12	314	99	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	AAA MLE	Sugar Land Space Cowboys	—	442	380	90	24	3	8	50	106	9	15	4	237	340	379	719	142	304	24	11	323	105	—	—	—	—	—	—
2025	30	AAA MLE	2 teams	—	294	250	53	3	4	10	36	80	6	3	3	212	326	376	702	164	261	27	12	314	99	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	TB	10%	344	296	67	11	3	11	39	84	6	7	2	224	325	391	715	166	271	24	11	321	103	+1	+1	+0	-4	+7	0.5
▸ 2027 — real world (MLB)
2027	32	MLB CTX	TB	10%	23	20	5	1	0	1	3	6	0	0	0	226	326	389	715	163	274	26	13	321	103	+0	+0	+0	-0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	TB	33%	204	176	38	6	1	6	23	51	3	2	1	217	317	373	690	156	265	25	11	311	96	-1	+0	-4	-2	+4	-0.3
2028	33	MLB CTX	TB	33%	67	59	13	2	1	2	7	17	1	1	0	219	318	372	690	153	268	25	10	311	96	-0	+0	-1	-1	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	399	346	61	11	4	8	46	121	5	7	1	176	282	301	583	124	243	30	12	268	88	-15	+1	-8	-13	+9	-2.7
/ 162G	—	A+C		—	650	564	100	18	7	13	75	197	8	11	2	177	283	303	586	126	244	30	12	268	88	-25	+2	-13	-21	+14	-4.5
Career	—	MLE		—	3634	3131	667	134	33	80	405	985	69	77	32	213	317	354	670	141	281	27	11	298	88	-15	+1	-11	-17	+17	-2.5
/ 162G	—	MLE		—	650	560	119	24	6	14	72	176	12	14	6	212	315	352	667	139	281	27	11	298	88	-13	+1	-9	-14	+14	-2.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAADurham Bulls · 189 PAwOBA .450 → .338 (−113)K% 22.8% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.75%	÷1.057	×1.200	—	—	25.82%
BB% (unintentional) /PA	18.52%	÷1.030	×0.690	—	×0.962	11.94%
HBP% /PA	2.12%	—	×0.940	—	×0.962	1.91%
Singles /BIP	22.86%	÷0.956	×0.930	×0.975	×0.962	20.86%
Doubles /BIP	2.86%	÷0.940	×0.830	×0.975	×0.962	2.36%
Triples /BIP	3.81%	÷0.900	×0.970	×0.975	×0.962	3.85%
Home runs /BIP	12.38%	÷1.380	×0.700	—	×0.962	6.04%

Factors used: league row International League. Park (home-season share, regressed): HR 176, 1B 91, 2B 88, 3B 80, K 111, BB 106 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .450 → .338; ISO .338 → .217; BABIP .330 → .283. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAASugar Land Space Cowboys · 442 PAwOBA .385 → .323 (−62)K% 20.1% → 24.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.14%	÷1.006	×1.200	—	—	24.03%
BB% (unintentional) /PA	17.42%	÷1.022	×0.690	—	×0.972	11.44%
HBP% /PA	2.04%	—	×0.940	—	×0.972	1.86%
Singles /BIP	22.22%	÷1.035	×0.930	×1.031	×0.972	20.00%
Doubles /BIP	9.96%	÷0.953	×0.830	×1.031	×0.972	8.69%
Triples /BIP	1.15%	÷0.900	×0.970	×1.031	×0.972	1.24%
Home runs /BIP	3.83%	÷0.903	×0.700	—	×0.972	2.89%

Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 107, 2B 91, 3B 80, K 101, BB 104 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .385 → .323; ISO .177 → .157; BABIP .341 → .304. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAATacoma Rainiers · 455 PAwOBA .374 → .305 (−69)K% 23.3% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.30%	÷1.024	×1.200	—	—	27.30%
BB% (unintentional) /PA	18.02%	÷1.013	×0.690	—	×0.982	12.06%
HBP% /PA	1.98%	—	×0.940	—	×0.982	1.83%
Singles /BIP	21.01%	÷0.989	×0.930	×0.979	×0.982	18.99%
Doubles /BIP	10.51%	÷0.940	×0.830	×0.979	×0.982	8.92%
Triples /BIP	2.33%	÷0.900	×0.970	×0.979	×0.982	2.42%
Home runs /BIP	3.11%	÷1.157	×0.700	—	×0.982	1.85%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .374 → .305; ISO .174 → .142; BABIP .348 → .308. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAAReno Aces · 156 PAwOBA .408 → .330 (−78)K% 25.6% → 30.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.64%	÷1.004	×1.200	—	—	30.64%
BB% (unintentional) /PA	14.74%	÷1.020	×0.690	—	×0.992	9.89%
HBP% /PA	1.28%	—	×0.940	—	×0.992	1.20%
Singles /BIP	28.09%	÷1.025	×0.930	×0.999	×0.992	25.26%
Doubles /BIP	8.99%	÷0.996	×0.830	×0.999	×0.992	7.43%
Triples /BIP	1.12%	÷1.100	×0.970	×0.999	×0.992	0.98%
Home runs /BIP	6.74%	÷0.965	×0.700	—	×0.992	4.85%

Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 99, 3B 120, K 101, BB 104 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.

Result: wOBA .408 → .330; ISO .217 → .169; BABIP .405 → .350. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 AAAReno Aces · 366 PAwOBA .421 → .345 (−75)K% 16.7% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.991	×1.200	—	—	20.18%
BB% (unintentional) /PA	16.94%	÷0.963	×0.690	—	×1.003	12.17%
HBP% /PA	1.09%	—	×0.940	—	×1.003	1.03%
Singles /BIP	22.41%	÷1.047	×0.930	×1.001	×1.003	19.97%
Doubles /BIP	9.05%	÷1.096	×0.830	×1.001	×1.003	6.88%
Triples /BIP	2.59%	÷1.113	×0.920	×1.001	×1.003	2.15%
Home runs /BIP	5.17%	÷0.958	×0.700	—	×1.003	3.79%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 109, 2B 119, 3B 123, K 98, BB 93 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .421 → .345; ISO .235 → .188; BABIP .350 → .294. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AABiloxi Shuckers · 419 PAwOBA .366 → .287 (−79)K% 23.9% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.87%	÷0.975	×1.220	—	—	29.85%
BB% (unintentional) /PA	14.80%	÷1.006	×0.680	—	×0.998	9.98%
HBP% /PA	3.34%	—	×0.840	—	×0.998	2.80%
Singles /BIP	22.73%	÷0.984	×0.920	×0.950	×0.998	20.14%
Doubles /BIP	3.31%	÷1.092	×0.910	×0.950	×0.998	2.61%
Triples /BIP	2.07%	÷1.124	×0.880	×0.950	×0.998	1.53%
Home runs /BIP	7.02%	÷1.018	×0.800	—	×0.998	5.51%

Factors used: league row SL. Park (home-season share, regressed): HR 104, 1B 97, 2B 118, 3B 125, K 95, BB 101 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .366 → .287; ISO .202 → .156; BABIP .301 → .256. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 A+Carolina Mudcats · 404 PAwOBA .360 → .259 (−101)K% 23.0% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.02%	÷0.970	×1.420	—	—	33.70%
BB% (unintentional) /PA	15.59%	÷0.990	×0.630	—	×0.988	9.80%
HBP% /PA	2.97%	—	×0.860	—	×0.988	2.52%
Singles /BIP	22.22%	÷1.066	×0.940	×0.980	×0.988	18.98%
Doubles /BIP	10.68%	÷1.150	×0.830	×0.980	×0.988	7.47%
Triples /BIP	0.00%	÷0.979	×0.800	×0.980	×0.988	0.00%
Home runs /BIP	3.42%	÷1.010	×0.900	—	×0.988	3.01%

Factors used: league row CAR. Park (home-season share, regressed): HR 102, 1B 113, 2B 130, 3B 96, K 94, BB 98 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .360 → .259; ISO .150 → .110; BABIP .339 → .271. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 A+Carolina Mudcats · 239 PAwOBA .335 → .268 (−67)K% 17.6% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.57%	÷0.990	×1.420	—	—	25.21%
BB% (unintentional) /PA	15.48%	÷0.973	×0.630	—	×0.998	10.00%
HBP% /PA	0.84%	—	×0.860	—	×0.998	0.72%
Singles /BIP	20.00%	÷1.004	×0.940	×0.989	×0.998	18.48%
Doubles /BIP	7.10%	÷1.034	×0.830	×0.989	×0.998	5.62%
Triples /BIP	1.29%	÷0.944	×0.800	×0.989	×0.998	1.08%
Home runs /BIP	2.58%	÷0.959	×0.900	—	×0.998	2.42%

Factors used: league row CAR. Park (home-season share, regressed): HR 92, 1B 101, 2B 107, 3B 89, K 98, BB 95 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.989.

Result: wOBA .335 → .268; ISO .137 → .117; BABIP .288 → .255. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sam Fuld'07-'15 * career totals — 6 seasons, 1,535 PA	2.3	1,535	12	67	230*	314*	336*	-10	+29	3.7	4.0
/162	664	5	29	-4.3	+12.7	1.6	pk7: 4
#2John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#4James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
#5Jimmy Stewart'63-'73 * career totals — 8 seasons, 1,602 PA	2.4	1,602	8	38	235*	309*	329*	-1	+2	-0.2	0.5
/162	664	3	16	-0.4	+0.7	-0.1	pk7: 1
#6Dave McCarty'93-'05 * career totals — 9 seasons, 1,647 PA	2.5	1,647	36	9	233*	295*	365*	-26	+16	-1.1	0.5
/162	664	15	4	-10.5	+6.6	-0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.6	396	9	6	186	289	316	-4	-3	-0.5	-0.5
/162	664	15	10	-7.1	-5.9	-0.9	pk7: -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
Cooper Hummel (OGILVIE)	32	55	60	45	60	222/322/387	165	271	8	5	24%	11%	103	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Abraham Almonte 2022 · MLB	33	47→55	51→55	45→55	59	238/336/410	172	286	17	11	23%	13%	112	+2.2	223/310/383	160	284	20	9	27%	11%	97	+1.1	201/291/355	154	251	22	8	29%	11%	81	-0.0
✕Aaron Hicks 2022 · MLB	32	44→54	52→60	47→55	60	227/335/395	168	268	19	7	22%	13%	109	+2.0	226/326/344	118	287	13	11	24%	12%	94	+0.9	226/331/332	106	287	12	13	23%	13%	94	+0.6
✕José Cruz Jr. 2006 · MLB	32	47→50	55→65	42→50	60	244/340/436	192	277	21	6	20%	13%	120	+2.8	232/324/384	152	279	15	10	21%	12%	102	+1.5	225/317/358	133	275	11	13	21%	12%	94	+0.5
●Dexter Fowler 2019 · MLB	33	46→56	52→55	50→55	57	234/331/405	172	274	18	10	22%	12%	109	+2.0	236/330/403	167	290	20	9	24%	11%	109	+2.0	236/340/409	173	291	22	8	25%	12%	116	+1.4
✕Rafael Ortega 2023 · MLB	32	50→55	48→55	48→55	54	248/326/390	142	292	16	18	20%	10%	103	+1.6	217/303/341	124	268	13	21	22%	11%	84	+0.2	200/296/311	111	248	11	26	23%	12%	74	-0.4
✕Daniel Descalso 2019 · MLB	32	46→56	51→50	48→45	58	232/334/401	168	284	17	4	24%	13%	109	+2.0	201/297/334	133	273	14	6	29%	12%	81	-0.1	159/261/244	85	219	9	5	30%	12%	48	-0.9
✕Todd Hollandsworth 2005 · MLB	32	54→55	52→55	43→50	50	271/329/453	182	312	19	7	19%	8%	119	+2.7	248/297/406	158	293	16	6	20%	6%	97	+1.1	242/284/392	150	288	14	4	21%	5%	89	+0.3
✕Darnell McDonald 2012 · MLB	33	49→55	51→55	49→55	47	250/307/418	168	296	18	12	22%	7%	103	+1.6	210/272/327	117	256	12	10	22%	7%	70	-0.9	186/247/276	90	230	8	9	22%	7%	47	-1.3
●Greg Norton 2005 · MLB	33	46	50→60	44→40	52	232/308/386	154	280	17	7	23%	10%	97	+1.1	249/321/420	171	290	21	3	21%	9%	109	+2.0	266/356/431	165	314	20	2	21%	12%	125	+1.5
●Jorge Polanco 2024 · MLB	31	48→58	55→60	45→50	54	249/331/436	187	292	23	7	23%	10%	117	+2.6	235/307/415	180	274	24	6	23%	9%	103	+1.5	224/294/403	179	252	24	5	22%	8%	96	+0.7
✕Rick Ankiel 2011 · MLB	32	45→48	53→65	45→50	45	234/294/410	175	290	20	6	27%	7%	97	+1.1	230/284/387	157	304	17	9	29%	7%	88	+0.4	225/275/383	158	298	17	9	30%	6%	84	+0.1
✕Ben Gamel 2024 · MLB	32	48→58	47→50	44→50	53	234/318/375	140	297	14	8	25%	10%	97	+1.1	223/311/359	136	312	13	6	30%	11%	92	+0.7	204/300/329	125	300	11	4	33%	11%	78	-0.1
✕Mike Kinkade 2005 · MLB	32	49→58	50→45	42→45	47	246/343/402	156	286	17	8	20%	7%	115	+2.4	252/319/385	133	290	12	8	17%	5%	101	+1.4	259/324/387	128	299	11	7	17%	4%	101	+1.0
✕Chris Young 2016 · MLB	32	45→48	53→60	48→55	49	235/301/414	180	267	21	10	21%	8%	101	+1.4	239/314/416	177	282	20	9	22%	9%	105	+1.7	226/309/403	177	267	20	8	23%	10%	102	+0.5
✕Marwin Gonzalez 2021 · MLB	32	48→57	49→55	44→50	49	243/308/387	144	285	18	3	22%	8%	97	+1.1	213/284/341	128	264	15	7	24%	7%	78	-0.3	190/264/306	116	239	13	7	26%	7%	63	-0.6
✕Michael McKenry 2017 · MLB	32	45→47	48→55	44→40	54	221/316/371	150	289	15	7	27%	11%	97	+1.1	201/287/318	117	283	11	6	30%	10%	74	-0.6	159/252/243	84	230	7	0	31%	10%	42	-1.3
✕Jarrod Saltalamacchia 2017 · MLB	32	39→49	54→60	44→40	51	206/299/381	175	281	22	2	34%	12%	93	+0.8	174/252/292	118	277	14	4	39%	9%	55	-2.0	119/193/189	70	205	8	1	43%	8%	8	-1.8
✕Tim Beckham 2022 · MLB	32	44→54	54→55	45→50	41	231/279/407	176	294	22	6	29%	6%	91	+0.6	253/306/387	134	334	16	9	28%	6%	96	+1.0	302/351/401	100	411	13	6	28%	5%	109	+0.6
✕Dioner Navarro 2016 · MLB	32	52→61	49→50	47→45	51	262/315/401	140	284	17	4	15%	7%	102	+1.5	227/287/357	130	268	14	5	20%	7%	82	-0.0	195/261/292	97	238	9	1	21%	8%	57	-0.7
●Garrett Jones 2012 · MLB	31	48→52	55→60	47→50	50	250/312/437	188	281	22	10	20%	8%	110	+2.1	253/308/457	204	288	25	4	21%	7%	113	+2.3	253/306/458	205	288	24	2	21%	7%	113	+1.9

Cooper Hummel

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps