Tyler Collins

PosLF

B/TL/L

Born1990-06-06

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2018

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2016	26	AAADET	281	.214/.276/.323	7	4	40	—	.186/.233/.274
2016	26	MLBDET	151	.235/.307/.382	4	1	97	0.4
2017	27	AAADET	296	.288/.364/.462	9	11	88	—	.245/.302/.387
2017	27	MLBDET	169	.193/.280/.333	5	0	77	-0.5
2018	28	AAAKC	62	.132/.246/.132	0	0	-13	—	.109/.197/.109
2019	29	No MLB games played
2020	30	No MLB games played
2021	31	No MLB games played
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	No MLB games played

Last 3 seasons WAR -0.1

Contract

No contract data on file.

Skills · percentileStatcast 2015-2017

Avg EV50

Speed50

xwOBA37

Barrel%32

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)
2011	21	INTL	Sydney Blue Sox	—	194	168	50	14	2	3	18	24	3	5	2	298	376	458	834	161	322	12	9	362	131	—	—	—	—	—	—
2012	22	A+	Lakeland Flying Tigers	—	538	470	135	34	5	7	58	64	5	20	3	287	371	426	797	138	317	12	11	355	84	—	—	—	—	—	—
2013	23	AA	Erie SeaWolves	—	530	466	112	29	0	21	51	122	8	4	5	240	326	438	763	197	277	23	10	337	72	—	—	—	—	—	—
2013	23	INTL	Mesa Solar Sox	—	89	73	19	1	0	2	15	18	0	2	1	260	386	356	743	96	315	20	17	341	117	—	—	—	—	—	—
2014	24	MLB	Detroit Tigers	—	25	24	6	0	0	1	1	4	0	0	0	250	280	375	655	125	263	16	4	292	88	-0	+0	+0	-6	+1	-0.6
2014	24	AAA	Toledo Mud Hens	—	526	468	123	17	2	18	49	116	4	12	4	263	338	423	761	160	310	22	9	337	83	—	—	—	—	—	—
2015	25	MLB	Detroit Tigers	—	207	192	51	11	3	4	13	43	1	2	1	266	316	417	732	151	324	21	6	323	109	+2	+0	-4	-5	+4	-0.2
2015	25	AAA	Toledo Mud Hens	—	218	190	47	10	0	2	22	40	3	9	2	247	335	332	666	84	298	18	10	304	57	—	—	—	—	—	—
2016	26	MLB	Detroit Tigers	—	151	136	32	2	3	4	13	38	1	1	1	235	307	382	689	147	295	25	9	307	97	-0	-0	+0	+2	+3	0.4
2016	26	AAA	Toledo Mud Hens	—	281	257	55	7	0	7	20	69	2	4	1	214	276	323	599	109	262	25	7	271	40	—	—	—	—	—	—
2017	27	MLB	Detroit Tigers	—	169	150	29	4	1	5	18	55	0	0	4	193	280	333	613	140	264	33	11	278	77	-5	-2	-5	+2	+4	-0.5
2017	27	AAA	Toledo Mud Hens	—	296	260	75	14	2	9	29	72	2	11	2	288	364	462	826	173	359	24	10	361	88	—	—	—	—	—	—
2018	28	AAA	Omaha Storm Chasers	—	62	53	7	0	0	0	7	14	1	0	1	132	246	132	378		175	23	11	193	-13	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	552	502	118	17	7	14	45	140	2	3	6	235	301	380	681	145	297	25	8	303	92	-6	-2	-8	-7	+12	-1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	A+ MLE	Lakeland Flying Tigers	—	538	485	115	32	3	5	43	90	5	20	3	237	306	346	652	109	278	17	8	293	84	—	—	—	—	—	—
2013	23	AA MLE	Erie SeaWolves	—	530	481	99	25	0	16	36	148	8	4	5	206	272	358	630	152	254	28	7	275	72	—	—	—	—	—	—
2014	24	MLB MLE	Detroit Tigers	—	25	24	6	0	0	1	1	4	0	0	0	250	280	375	655	125	263	16	4	298	88	-0	+0	+0	-6	+1	-0.6
2014	24	AAA MLE	Toledo Mud Hens	—	526	485	114	14	2	18	32	137	4	12	4	235	288	384	671	148	281	26	6	291	83	—	—	—	—	—	—
2015	25	MLB MLE	Detroit Tigers	—	207	192	51	11	3	4	13	43	1	2	1	266	316	417	732	151	324	21	6	329	109	+2	+0	-4	-5	+4	-0.2
2015	25	AAA MLE	Toledo Mud Hens	—	218	198	43	8	0	2	14	48	3	9	2	217	279	288	567	71	264	22	6	253	57	—	—	—	—	—	—
2016	26	MLB MLE	Detroit Tigers	—	151	136	32	2	3	4	13	38	1	1	1	235	307	382	689	147	295	25	9	312	97	-0	-0	+0	+2	+3	0.4
2016	26	AAA MLE	Toledo Mud Hens	—	281	263	49	5	0	6	14	82	2	4	1	186	233	274	507	87	240	29	5	228	40	—	—	—	—	—	—
2017	27	MLB MLE	Detroit Tigers	—	169	150	29	4	1	5	18	55	0	0	4	193	280	333	613	140	264	33	11	282	77	-5	-2	-5	+2	+4	-0.5
2017	27	AAA MLE	Toledo Mud Hens	—	296	269	66	13	2	7	20	86	2	11	2	245	302	387	689	141	313	29	7	298	88	—	—	—	—	—	—
2018	28	AAA MLE	Omaha Storm Chasers	—	62	55	6	0	0	0	5	18	1	0	1	109	197	109	306		146	29	8	149	-13	—	—	—	—	—	—
2011	21	INTL MLE	Sydney Blue Sox	—	194	168	50	14	2	3	18	24	3	5	2	298	376	458	834	161	322	12	9	—	—	—	—	—	—	—	—
2011	21	INTL RAW	Sydney Blue Sox	—	194	168	50	14	2	3	18	24	3	5	2	298	376	458	834	161	322	12	9	362	131	—	—	—	—	—	—
2012	22	A+ MLE	Lakeland Flying Tigers	—	538	485	115	32	3	5	43	90	5	20	3	237	306	346	652	109	278	17	8	293	84	—	—	—	—	—	—
2012	22	A+ RAW	Lakeland Flying Tigers	—	538	470	135	34	5	7	58	64	5	20	3	287	371	426	797	138	317	12	11	355	84	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	619	564	116	29	0	19	41	173	8	6	6	206	269	358	627	152	257	28	7	275	72	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	619	539	131	30	0	23	66	140	8	6	6	243	334	427	761	184	283	23	11	337	72	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	551	509	120	14	2	19	33	141	4	12	4	236	288	383	671	147	285	26	6	291	83	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	551	492	129	17	2	19	50	120	4	12	4	262	335	421	756	159	307	22	9	335	83	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	425	390	94	19	3	6	27	91	4	11	3	241	297	351	648	110	297	21	6	290	82	—	—	—	—	—	—
2015	25	AAA RAW	2 teams	—	425	382	98	21	3	6	35	83	4	11	3	257	325	374	700	118	311	20	8	313	82	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	432	399	82	7	3	11	27	120	3	5	2	206	261	321	582	115	262	28	6	257	60	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	432	393	87	9	3	11	33	107	3	5	2	221	287	344	630	122	273	25	8	283	60	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	465	419	95	17	3	12	38	141	2	11	6	227	294	368	662	141	305	30	8	292	84	—	—	—	—	—	—
2017	27	AAA RAW	2 teams	—	465	410	104	18	3	14	47	127	2	11	6	254	333	415	748	161	327	27	10	331	84	—	—	—	—	—	—
2018	28	AAA MLE	Omaha Storm Chasers	—	62	55	6	0	0	0	5	18	1	0	1	109	197	109	306		158	29	8	149	-13	—	—	—	—	—	—
2018	28	AAA RAW	Omaha Storm Chasers	—	62	53	7	0	0	0	7	14	1	0	1	132	246	132	378		175	23	11	193	-13	—	—	—	—	—	—
2012	22	A+ MLE	Lakeland Flying Tigers	—	538	485	115	32	3	5	43	90	5	20	3	237	306	346	652	109	278	17	8	293	84	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	619	565	116	29	0	19	41	173	8	6	6	205	269	358	627	152	254	28	7	275	72	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	551	509	120	14	2	19	33	141	4	12	4	236	288	383	671	147	280	26	6	291	83	—	—	—	—	—	—
2015	25	AAA MLE	2 teams	—	425	391	94	19	3	6	27	91	4	11	3	240	297	350	647	110	293	21	6	290	82	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	432	399	82	7	3	11	27	120	3	5	2	206	261	321	582	115	259	28	6	257	60	—	—	—	—	—	—
2017	27	AAA MLE	2 teams	—	465	422	95	17	3	12	38	141	2	11	6	225	294	365	659	140	295	30	8	292	84	—	—	—	—	—	—
2018	28	AAA MLE	Omaha Storm Chasers	—	62	56	6	0	0	0	5	18	1	0	1	107	197	107	304		146	29	8	149	-13	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	552	502	118	17	7	14	45	140	2	3	6	235	301	380	681	145	297	25	8	303	65	-6	-2	-8	-7	+12	-1.1
/ 162G	—	A+C		—	650	591	138	20	8	16	53	165	2	4	7	234	298	376	674	142	296	25	8	303	65	-7	-2	-10	-9	+14	-1.3
Career	—	MLE		—	3286	2989	678	132	16	75	232	798	30	70	27	227	289	357	646	130	280	24	7	264	65	-6	-2	-8	-7	+12	-1.1
/ 162G	—	MLE		—	650	591	134	26	3	15	46	158	6	14	5	227	289	357	646	130	280	24	7	264	65	-7	-2	-10	-9	+14	-1.3

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.

2018 AAAOmaha Storm Chasers · 62 PAwOBA .192 → .149 (−43)K% 22.6% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.58%	÷1.007	×1.290	—	—	28.91%
BB% (unintentional) /PA	11.29%	÷1.018	×0.710	—	×0.992	7.82%
HBP% /PA	1.61%	—	×0.980	—	×0.992	1.57%
Singles /BIP	17.95%	÷1.020	×0.900	×0.950	×0.992	14.93%
Doubles /BIP	0.00%	÷0.936	×0.810	×0.950	×0.992	0.00%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×0.992	0.00%
Home runs /BIP	0.00%	÷1.101	×0.780	—	×0.992	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 120, 1B 104, 2B 87, 3B 80, K 102, 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 ×0.950.

Result: wOBA .192 → .149; ISO .000 → .000; BABIP .175 → .146. 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 AAAToledo Mud Hens · 296 PAwOBA .358 → .298 (−60)K% 24.3% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.32%	÷1.004	×1.200	—	—	29.07%
BB% (unintentional) /PA	9.80%	÷0.996	×0.690	—	×1.003	6.81%
HBP% /PA	0.68%	—	×0.940	—	×1.003	0.64%
Singles /BIP	26.60%	÷1.054	×0.930	×0.992	×1.003	23.35%
Doubles /BIP	7.45%	÷0.916	×0.830	×0.992	×1.003	6.71%
Triples /BIP	1.06%	÷1.150	×0.970	×0.992	×1.003	0.89%
Home runs /BIP	4.79%	÷1.049	×0.840	—	×1.003	3.85%

Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 111, 2B 83, 3B 130, K 101, BB 99 — 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 ×0.992.

Result: wOBA .358 → .298; ISO .173 → .145; BABIP .359 → .313. 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 AAAToledo Mud Hens · 281 PAwOBA .265 → .228 (−37)K% 24.6% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.56%	÷1.009	×1.200	—	—	29.20%
BB% (unintentional) /PA	7.12%	÷1.004	×0.690	—	×1.018	4.98%
HBP% /PA	0.71%	—	×0.940	—	×1.018	0.68%
Singles /BIP	21.81%	÷1.001	×0.930	×0.997	×1.018	20.57%
Doubles /BIP	3.72%	÷1.092	×0.830	×0.997	×1.018	2.87%
Triples /BIP	0.00%	÷1.150	×0.970	×0.997	×1.018	0.00%
Home runs /BIP	3.72%	÷0.899	×0.840	—	×1.018	3.54%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 118, 3B 130, K 102, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.997.

Result: wOBA .265 → .228; ISO .109 → .096; BABIP .262 → .240. 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).

2015 AAAToledo Mud Hens · 218 PAwOBA .299 → .253 (−46)K% 18.3% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.35%	÷1.000	×1.200	—	—	22.02%
BB% (unintentional) /PA	9.63%	÷1.085	×0.690	—	×1.033	6.33%
HBP% /PA	1.38%	—	×0.940	—	×1.033	1.34%
Singles /BIP	23.33%	÷0.988	×0.930	×0.950	×1.033	21.54%
Doubles /BIP	6.67%	÷1.083	×0.830	×0.950	×1.033	5.01%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×1.033	0.00%
Home runs /BIP	1.33%	÷0.911	×0.840	—	×1.033	1.27%

Factors used: league row IL. Park (home-season share, regressed): HR 82, 1B 98, 2B 117, 3B 130, K 100, BB 117 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .299 → .253; ISO .084 → .071; BABIP .298 → .264. 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).

2014 AAAToledo Mud Hens · 526 PAwOBA .330 → .291 (−40)K% 22.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.05%	÷1.017	×1.200	—	—	26.02%
BB% (unintentional) /PA	8.94%	÷1.053	×0.690	—	×1.048	6.14%
HBP% /PA	0.76%	—	×0.940	—	×1.048	0.75%
Singles /BIP	24.43%	÷0.999	×0.930	×0.950	×1.048	22.66%
Doubles /BIP	4.83%	÷1.031	×0.830	×0.950	×1.048	3.87%
Triples /BIP	0.57%	÷1.049	×0.970	×0.950	×1.048	0.52%
Home runs /BIP	5.11%	÷0.899	×0.840	—	×1.048	5.01%

Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — 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 .330 → .291; ISO .160 → .150; BABIP .310 → .281. 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).

2013 AAErie SeaWolves · 530 PAwOBA .331 → .275 (−56)K% 23.0% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.02%	÷1.004	×1.220	—	—	27.98%
BB% (unintentional) /PA	9.62%	÷1.034	×0.700	—	×1.027	6.69%
HBP% /PA	1.51%	—	×0.850	—	×1.027	1.32%
Singles /BIP	18.02%	÷0.998	×0.970	×0.954	×1.027	17.18%
Doubles /BIP	8.43%	÷0.965	×0.860	×0.954	×1.027	7.37%
Triples /BIP	0.00%	÷0.902	×0.950	×0.954	×1.027	0.00%
Home runs /BIP	6.10%	÷1.020	×0.780	—	×1.027	4.80%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 100, 2B 93, 3B 80, K 101, BB 107 — 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 ×0.954.

Result: wOBA .331 → .275; ISO .197 → .158; BABIP .277 → .254. 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).

2012 A+Lakeland Flying Tigers · 538 PAwOBA .348 → .293 (−55)K% 11.9% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.90%	÷1.004	×1.420	—	—	16.83%
BB% (unintentional) /PA	10.41%	÷0.982	×0.750	—	×1.012	8.04%
HBP% /PA	0.93%	—	×0.930	—	×1.012	0.87%
Singles /BIP	21.92%	÷1.040	×0.920	×0.960	×1.012	18.85%
Doubles /BIP	8.37%	÷0.970	×0.960	×0.960	×1.012	8.05%
Triples /BIP	1.23%	÷1.150	×0.810	×0.960	×1.012	0.84%
Home runs /BIP	1.72%	÷1.122	×0.880	—	×1.012	1.37%

Factors used: league row FSL. Park (home-season share, regressed): HR 124, 1B 108, 2B 94, 3B 130, K 101, BB 96 — 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 ×0.960.

Result: wOBA .348 → .293; ISO .138 → .118; BABIP .317 → .278. 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 — .