Zack Collins

PosC

B/TL/R

Born1995-02-06

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	26	AAACWS	38	.143/.211/.400	3	0	-1	—	.111/.158/.278
2021	26	MLBCWS	231	.210/.330/.338	4	1	92	-0.7
2022	27	AAAPIT	165	.198/.369/.397	5	3	66	—	.161/.281/.314
2022	27	MLBPIT	108	.155/.234/.320	4	0	57	0.3
2023	28	AAACLE	495	.251/.360/.434	16	4	68	—	.200/.281/.324
2024	29	No MLB games played
2025	30	No MLB games played
2026	31	No MLB games played

Last 3 seasons WAR -0.4

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Barrel%59

Avg EV55

Bat Spd47

xwOBA42

Speed10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	A+	Winston-Salem Dash	—	153	120	31	7	0	6	33	39	0	0	0	258	418	467	885	208	333	25	22	397	79	—	—	—	—	—	—
2016	21	INTL	Glendale Desert Dogs	—	28	22	5	0	0	2	6	8	0	0	0	227	393	500	893	273	250	29	21	395	154	—	—	—	—	—	—
2017	22	AA	Birmingham Barons	—	45	34	8	2	0	2	11	11	0	0	0	235	422	471	893	235	286	24	24	401	112	—	—	—	—	—	—
2017	22	A+	Winston-Salem Dash	—	426	341	76	18	3	17	76	118	2	0	2	223	368	443	810	220	282	28	18	357	52	—	—	—	—	—	—
2018	23	AA	Birmingham Barons	—	531	418	98	24	1	15	101	158	3	5	0	234	387	404	791	170	329	30	19	356	83	—	—	—	—	—	—
2019	24	MLB	Chicago White Sox	—	102	86	16	3	1	3	14	39	1	0	0	186	304	349	653	163	295	38	14	298	82	-2	+0	-3	+8	+2	0.5
2019	24	AAA	Charlotte Knights	—	367	294	83	19	1	19	62	98	3	0	0	282	412	548	960	265	346	27	17	411	107	—	—	—	—	—	—
2020	25	MLB	Chicago White Sox	—	18	16	1	1	0	0	2	5	0	0	0	62	167	125	292	62	91	28	11	149	-14	-2	+0	-0	+0	+0	-0.2
2021	26	MLB	Chicago White Sox	—	231	195	41	13	0	4	34	69	1	1	1	210	330	338	669	128	303	30	15	308	92	-2	-0	-14	+5	+5	-0.7
2021	26	AAA	Charlotte Knights	—	38	35	5	0	0	3	3	13	0	0	0	143	211	400	611	257	105	34	8	267	-1	—	—	—	—	—	—
2022	27	MLB	Pittsburgh Pirates	—	108	97	15	4	0	4	9	41	1	0	0	155	234	320	553	165	208	38	8	248	57	-5	+0	+1	+5	+2	0.3
2022	27	AAA	Indianapolis Indians	—	165	126	25	8	1	5	33	42	1	3	1	198	369	397	766	198	238	25	20	339	66	—	—	—	—	—	—
2023	28	AAA	Columbus Clippers	—	495	419	105	29	0	16	70	159	2	4	1	251	360	434	795	184	359	32	14	354	68	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	459	394	73	21	1	11	59	154	3	1	1	185	295	327	623	142	270	34	13	285	79	-11	-0	-16	+18	+10	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	21	A+ MLE	Winston-Salem Dash	—	153	132	25	5	0	5	21	59	0	0	0	189	301	341	642	152	297	39	14	285	79	—	—	—	—	—	—
2017	22	AA MLE	Birmingham Barons	—	45	37	8	2	0	2	8	14	0	0	0	216	356	432	788	216	268	31	18	333	112	—	—	—	—	—	—
2017	22	A+ MLE	Winston-Salem Dash	—	426	372	59	13	2	11	45	173	2	0	2	159	253	293	546	134	242	41	11	245	52	—	—	—	—	—	—
2018	23	AA MLE	Birmingham Barons	—	531	447	87	23	1	13	72	192	3	5	0	195	310	338	648	143	286	36	14	291	83	—	—	—	—	—	—
2019	24	MLB MLE	Chicago White Sox	—	102	88	16	3	1	3	13	39	1	0	0	182	294	341	635	159	295	38	13	289	82	-2	+0	-3	+8	+2	0.5
2019	24	AAA MLE	Charlotte Knights	—	367	315	71	17	1	14	41	122	3	0	0	225	320	419	739	194	297	33	11	326	107	—	—	—	—	—	—
2020	25	MLB MLE	Chicago White Sox	—	18	16	1	1	0	0	2	5	0	0	0	62	167	125	292	62	91	28	11	148	-14	-2	+0	-0	+0	+0	-0.2
2021	26	MLB MLE	Chicago White Sox	—	231	196	41	13	0	4	33	69	1	1	1	209	326	337	663	128	303	30	14	304	92	-2	-0	-14	+5	+5	-0.7
2021	26	AAA MLE	Charlotte Knights	—	38	36	4	0	0	2	2	15	0	0	0	111	158	278	436	167	95	39	5	166	-1	—	—	—	—	—	—
2022	27	MLB MLE	Pittsburgh Pirates	—	108	97	15	4	0	4	9	41	1	0	0	155	234	320	553	165	208	38	8	253	57	-5	+0	+1	+5	+2	0.3
2022	27	AAA MLE	Indianapolis Indians	—	165	137	22	7	1	4	22	51	1	3	1	161	281	314	595	153	197	31	13	266	66	—	—	—	—	—	—
2023	28	AAA MLE	Columbus Clippers	—	495	441	88	22	0	11	48	190	2	4	1	200	281	324	605	125	308	38	10	268	68	—	—	—	—	—	—
2016	21	A+ MLE	2 teams	—	181	156	29	6	0	5	25	70	0	0	0	186	298	321	619	135	296	39	14	285	79	—	—	—	—	—	—
2016	21	A+ RAW	2 teams	—	181	142	36	7	0	8	39	47	0	0	0	254	414	472	886	218	322	26	22	397	79	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	471	409	67	15	2	13	53	187	2	0	2	164	263	306	569	142	255	40	11	253	58	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	471	375	84	20	3	19	87	129	2	0	2	224	373	445	818	221	283	27	18	361	58	—	—	—	—	—	—
2018	23	AA MLE	Birmingham Barons	—	531	447	87	23	1	13	72	192	3	5	0	195	310	338	648	143	297	36	14	291	83	—	—	—	—	—	—
2018	23	AA RAW	Birmingham Barons	—	531	418	98	24	1	15	101	158	3	5	0	234	387	404	791	170	329	30	19	356	83	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	469	403	87	20	2	17	54	161	4	0	0	216	315	402	717	186	300	34	12	318	101	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	469	380	99	22	2	22	76	137	4	0	0	261	388	503	891	242	336	29	16	386	101	—	—	—	—	—	—
2020	25	MLB MLE	Chicago White Sox	—	18	16	1	1	0	0	2	5	0	0	0	62	167	125	292	62	91	28	11	148	-14	-2	+0	-0	+0	+0	-0.2
2020	25	MLB RAW	Chicago White Sox	—	18	16	1	1	0	0	2	5	0	0	0	62	167	125	292	62	91	28	11	149	-14	-2	+0	-0	+0	+0	-0.2
2021	26	MLB MLE	2 teams	—	269	232	45	13	0	6	35	84	1	1	1	194	302	328	630	134	275	31	13	284	79	-7	-0	-14	+5	+6	-1.1
2021	26	MLB RAW	2 teams	—	269	230	46	13	0	7	37	82	1	1	1	200	313	348	661	148	277	30	14	302	79	-7	-0	-14	+5	+6	-1.1
2022	27	AAA MLE	2 teams	—	273	234	37	11	1	8	31	92	2	3	1	158	262	316	578	158	207	34	11	261	63	—	—	—	—	—	—
2022	27	AAA RAW	2 teams	—	273	223	40	12	1	9	42	83	2	3	1	179	315	363	678	184	226	30	15	303	63	—	—	—	—	—	—
2023	28	AAA MLE	Columbus Clippers	—	495	441	88	22	0	11	48	190	2	4	1	200	281	324	605	125	316	38	10	268	68	—	—	—	—	—	—
2023	28	AAA RAW	Columbus Clippers	—	495	419	105	29	0	16	70	159	2	4	1	251	360	434	795	184	359	32	14	354	68	—	—	—	—	—	—
2016	21	A+ MLE	2 teams	—	181	154	29	6	0	5	25	70	0	0	0	188	298	325	623	136	297	39	14	285	79	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	471	413	67	15	2	13	53	187	2	0	2	162	263	303	566	140	244	40	11	253	58	—	—	—	—	—	—
2018	23	AA MLE	Birmingham Barons	—	531	451	87	23	1	13	72	192	3	5	0	193	310	335	645	142	286	36	14	291	83	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	469	408	87	20	2	17	54	161	4	0	0	213	315	397	712	184	297	34	12	318	101	—	—	—	—	—	—
2020	25	MLB MLE	Chicago White Sox	—	18	16	1	1	0	0	2	5	0	0	0	62	167	125	292	62	91	28	11	148	-14	—	—	—	—	—	—
2021	26	MLB MLE	2 teams	—	269	231	45	13	0	6	35	84	1	1	1	195	302	329	631	134	274	31	13	284	79	—	—	—	—	—	—
2022	27	AAA MLE	2 teams	—	273	238	37	11	1	8	31	92	2	3	1	155	262	311	573	155	201	34	11	261	63	—	—	—	—	—	—
2023	28	AAA MLE	Columbus Clippers	—	495	442	88	22	0	11	48	190	2	4	1	199	281	324	605	124	308	38	10	268	68	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	459	394	73	21	1	11	59	154	3	1	1	185	295	327	623	142	270	34	13	285	76	-11	-0	-16	+18	+10	0.1
/ 162G	—	A+C		—	650	558	104	30	1	16	84	218	4	1	1	186	296	330	626	143	271	34	13	285	76	-16	-0	-23	+26	+14	0.1
Career	—	MLE		—	2707	2338	441	111	6	73	320	981	14	13	5	189	290	335	625	146	280	36	12	280	76	-11	-0	-16	+18	+10	0.1
/ 162G	—	MLE		—	650	561	106	27	1	18	77	236	3	3	1	189	290	337	627	148	280	36	12	280	76	-16	-0	-23	+26	+14	0.1

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.

2023 AAAColumbus Clippers · 495 PAwOBA .347 → .268 (−79)K% 32.1% → 38.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.12%	÷1.008	×1.200	—	—	38.25%
BB% (unintentional) /PA	13.94%	÷0.994	×0.690	—	×0.992	9.59%
HBP% /PA	0.40%	—	×0.940	—	×0.992	0.38%
Singles /BIP	23.08%	÷0.963	×0.930	×0.965	×0.992	21.33%
Doubles /BIP	11.15%	÷1.018	×0.830	×0.965	×0.992	8.70%
Triples /BIP	0.00%	÷0.900	×0.970	×0.965	×0.992	0.00%
Home runs /BIP	6.15%	÷1.037	×0.700	—	×0.992	4.12%

Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 93, 2B 104, 3B 80, K 102, BB 99 — 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 ×0.965.

Result: wOBA .347 → .268; ISO .184 → .129; BABIP .359 → .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 AAAIndianapolis Indians · 165 PAwOBA .342 → .266 (−76)K% 25.5% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.45%	÷0.982	×1.200	—	—	31.12%
BB% (unintentional) /PA	20.00%	÷1.058	×0.690	—	×1.003	13.08%
HBP% /PA	0.61%	—	×0.940	—	×1.003	0.57%
Singles /BIP	13.10%	÷1.087	×0.930	×0.965	×1.003	10.84%
Doubles /BIP	9.52%	÷0.964	×0.830	×0.965	×1.003	7.94%
Triples /BIP	1.19%	÷0.942	×0.970	×0.965	×1.003	1.19%
Home runs /BIP	5.95%	÷1.013	×0.700	—	×1.003	4.13%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 117, 2B 93, 3B 88, K 96, BB 112 — 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 ×0.965.

Result: wOBA .342 → .266; ISO .198 → .164; BABIP .238 → .197. 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 AAACharlotte Knights · 38 PAwOBA .259 → .166 (−93)K% 34.2% → 40.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.21%	÷1.011	×1.200	—	—	40.61%
BB% (unintentional) /PA	7.89%	÷1.053	×0.690	—	×1.018	5.27%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	9.09%	÷0.986	×0.930	—	×1.018	8.73%
Doubles /BIP	0.00%	÷1.128	×0.830	—	×1.018	0.00%
Triples /BIP	0.00%	÷1.020	×0.920	—	×1.018	0.00%
Home runs /BIP	13.64%	÷1.190	×0.700	—	×1.018	8.17%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 97, 2B 126, 3B 104, K 102, BB 111 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .259 → .166; ISO .257 → .144; BABIP .105 → .095. 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 AAACharlotte Knights · 367 PAwOBA .409 → .326 (−82)K% 26.7% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.70%	÷0.962	×1.200	—	—	33.33%
BB% (unintentional) /PA	16.62%	÷1.077	×0.690	—	×1.048	11.16%
HBP% /PA	0.82%	—	×0.940	—	×1.048	0.81%
Singles /BIP	22.45%	÷1.061	×0.930	×0.950	×1.048	19.59%
Doubles /BIP	9.69%	÷0.921	×0.830	×0.950	×1.048	8.70%
Triples /BIP	0.51%	÷0.900	×0.970	×0.950	×1.048	0.55%
Home runs /BIP	9.69%	÷1.212	×0.840	—	×1.048	7.04%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .409 → .326; ISO .265 → .211; BABIP .346 → .297. 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 AABirmingham Barons · 531 PAwOBA .351 → .291 (−59)K% 29.8% → 36.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.76%	÷1.006	×1.220	—	—	36.07%
BB% (unintentional) /PA	18.64%	÷0.954	×0.680	—	×1.027	13.65%
HBP% /PA	0.56%	—	×0.840	—	×1.027	0.49%
Singles /BIP	22.31%	÷1.069	×0.920	×0.964	×1.027	19.01%
Doubles /BIP	9.23%	÷0.969	×0.910	×0.964	×1.027	8.59%
Triples /BIP	0.38%	÷1.150	×0.880	×0.964	×1.027	0.29%
Home runs /BIP	5.77%	÷0.949	×0.800	—	×1.027	5.00%

Factors used: league row SL. Park (home-season share, regressed): HR 90, 1B 114, 2B 94, 3B 130, K 101, BB 91 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .351 → .291; ISO .170 → .153; BABIP .329 → .286. 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+Winston-Salem Dash · 426 PAwOBA .349 → .245 (−104)K% 27.7% → 40.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.70%	÷0.966	×1.420	—	—	40.70%
BB% (unintentional) /PA	17.37%	÷1.046	×0.630	—	×1.012	10.59%
HBP% /PA	0.47%	—	×0.860	—	×1.012	0.41%
Singles /BIP	17.04%	÷0.999	×0.940	×0.982	×1.012	15.92%
Doubles /BIP	8.07%	÷1.080	×0.830	×0.982	×1.012	6.16%
Triples /BIP	1.35%	÷0.902	×0.800	×0.982	×1.012	1.19%
Home runs /BIP	7.62%	÷1.275	×0.900	—	×1.012	5.44%

Factors used: league row CAR. Park (home-season share, regressed): HR 155, 1B 100, 2B 116, 3B 80, K 93, BB 109 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .349 → .245; ISO .220 → .150; BABIP .282 → .242. 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 AABirmingham Barons · 45 PAwOBA .391 → .333 (−58)K% 24.4% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.44%	÷0.980	×1.220	—	—	30.44%
BB% (unintentional) /PA	24.44%	÷1.001	×0.680	—	×1.042	17.31%
HBP% /PA	0.00%	—	×0.840	—	×1.042	0.00%
Singles /BIP	17.39%	÷1.009	×0.920	—	×1.042	16.52%
Doubles /BIP	8.70%	÷1.021	×0.910	—	×1.042	8.07%
Triples /BIP	0.00%	÷1.086	×0.880	—	×1.042	0.00%
Home runs /BIP	8.70%	÷0.894	×0.800	—	×1.042	8.11%

Factors used: league row SL. Park (home-season share, regressed): HR 79, 1B 102, 2B 104, 3B 117, K 96, BB 100 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).

Result: wOBA .391 → .333; ISO .235 → .224; BABIP .286 → .268. 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).

2016 A+Winston-Salem Dash · 153 PAwOBA .388 → .285 (−103)K% 25.5% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.49%	÷0.938	×1.420	—	—	38.58%
BB% (unintentional) /PA	21.57%	÷0.996	×0.630	—	×1.027	14.01%
HBP% /PA	0.00%	—	×0.860	—	×1.027	0.00%
Singles /BIP	22.22%	÷0.994	×0.940	×0.955	×1.027	20.61%
Doubles /BIP	8.64%	÷0.970	×0.830	×0.955	×1.027	7.25%
Triples /BIP	0.00%	÷1.013	×0.800	×0.955	×1.027	0.00%
Home runs /BIP	7.41%	÷1.098	×0.900	—	×1.027	6.24%

Factors used: league row CAR. Park (home-season share, regressed): HR 120, 1B 99, 2B 94, 3B 103, K 88, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.

Result: wOBA .388 → .285; ISO .208 → .157; BABIP .333 → .297. 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).