Gunnar Heidt

PosSS

B/TR/R

Born1992-09-12

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	24	AATOR	485	.229/.305/.370	13	10	44	—	.186/.242/.280
2018	25	AAA/AATOR	390	.239/.311/.363	6	8	55	—	.210/.264/.305
2019	26	AAA/AATOR	82	.133/.207/.213	1	7	-17	—	.094/.159/.160

Contract

No contract data on file.

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)
2014	21	ROK	GCL Blue Jays	—	25	22	6	1	1	0	3	6	0	0	0	273	360	409	769	136	375	24	12	344	38	—	—	—	—	—	—
2015	22	A	Lansing Lugnuts	—	208	189	34	10	1	0	11	46	1	8	3	180	229	243	472	63	231	22	5	210	-8	—	—	—	—	—	—
2016	23	A+	Dunedin Blue Jays	—	206	180	46	13	0	5	21	45	2	9	4	256	340	411	751	156	311	22	10	333	60	—	—	—	—	—	—
2016	23	A	Lansing Lugnuts	—	241	211	57	15	3	4	22	56	5	13	8	270	353	427	779	156	349	23	9	345	61	—	—	—	—	—	—
2017	24	AA	New Hampshire Fisher Cats	—	485	432	99	20	1	13	45	138	2	10	5	229	305	370	675	141	303	28	9	301	44	—	—	—	—	—	—
2018	25	AAA	Buffalo Bisons	—	70	63	18	5	0	2	7	27	0	1	0	286	357	460	817	175	471	39	10	363	76	—	—	—	—	—	—
2018	25	AA	New Hampshire Fisher Cats	—	320	284	65	16	2	4	27	76	2	7	5	229	300	342	642	113	295	24	8	285	51	—	—	—	—	—	—
2019	26	AAA	Buffalo Bisons	—	25	24	1	0	0	0	1	19	0	0	0	42	80	42	122		200	76	4	64	-97	—	—	—	—	—	—
2019	26	AA	New Hampshire Fisher Cats	—	57	51	9	3	0	1	5	20	1	7	0	176	263	294	557	118	267	35	9	258	18	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	21	ROK MLE	GCL Blue Jays	—	25	23	5	1	1	0	2	9	0	0	0	217	280	348	628	130	288	36	8	224	38	—	—	—	—	—	—
2015	22	A MLE	Lansing Lugnuts	—	208	193	27	7	1	0	7	65	1	8	3	140	174	187	361	47	191	31	3	157	-8	—	—	—	—	—	—
2016	23	A+ MLE	Dunedin Blue Jays	—	206	186	36	10	0	4	15	67	2	9	4	194	261	312	573	118	269	33	7	257	60	—	—	—	—	—	—
2016	23	A MLE	Lansing Lugnuts	—	241	218	45	11	3	3	15	81	5	13	8	206	273	326	599	119	300	34	6	259	61	—	—	—	—	—	—
2017	24	AA MLE	New Hampshire Fisher Cats	—	485	446	83	16	1	8	31	167	2	10	5	186	242	280	522	94	270	34	6	233	44	—	—	—	—	—	—
2018	25	AAA MLE	Buffalo Bisons	—	70	65	15	4	0	1	5	33	0	1	0	231	286	338	624	108	436	47	7	280	76	—	—	—	—	—	—
2018	25	AA MLE	New Hampshire Fisher Cats	—	320	292	60	14	2	3	19	90	2	7	5	205	259	298	557	92	272	28	6	244	51	—	—	—	—	—	—
2019	26	AAA MLE	Buffalo Bisons	—	25	24	0	0	0	0	1	24	0	0	0		40		40		184	96	4	25	-97	—	—	—	—	—	—
2019	26	AA MLE	New Hampshire Fisher Cats	—	57	52	7	2	0	1	4	24	1	7	0	135	211	231	441	96	233	42	7	195	18	—	—	—	—	—	—
2014	21	ROK MLE	GCL Blue Jays	—	25	23	5	1	1	0	2	9	0	0	0	217	280	348	628	130	357	36	8	224	38	—	—	—	—	—	—
2014	21	ROK RAW	GCL Blue Jays	—	25	22	6	1	1	0	3	6	0	0	0	273	360	409	769	136	375	24	12	344	38	—	—	—	—	—	—
2015	22	A MLE	Lansing Lugnuts	—	208	193	27	7	1	0	7	65	1	8	3	140	174	187	361	47	205	31	3	157	-8	—	—	—	—	—	—
2015	22	A RAW	Lansing Lugnuts	—	208	189	34	10	1	0	11	46	1	8	3	180	229	243	472	63	231	22	5	210	-8	—	—	—	—	—	—
2016	23	A MLE	2 teams	—	447	404	82	22	3	7	30	148	7	22	12	203	270	324	594	121	298	33	7	258	61	—	—	—	—	—	—
2016	23	A RAW	2 teams	—	447	391	103	28	3	9	43	101	7	22	12	263	347	419	766	156	331	23	10	339	61	—	—	—	—	—	—
2017	24	AA MLE	New Hampshire Fisher Cats	—	485	446	83	16	1	8	31	167	2	10	5	186	242	280	522	94	274	34	6	233	44	—	—	—	—	—	—
2017	24	AA RAW	New Hampshire Fisher Cats	—	485	432	99	20	1	13	45	138	2	10	5	229	305	370	675	141	303	28	9	301	44	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	390	357	76	18	2	5	24	122	2	8	5	213	266	317	583	104	305	31	6	250	56	—	—	—	—	—	—
2018	25	AA RAW	2 teams	—	390	347	83	21	2	6	34	103	2	8	5	239	311	363	674	124	320	26	9	299	56	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	82	77	7	2	0	1	4	48	1	7	0	91	146	156	302	65	214	59	5	143	-17	—	—	—	—	—	—
2019	26	AA RAW	2 teams	—	82	75	10	3	0	1	6	39	1	7	0	133	207	213	421	80	257	48	7	199	-17	—	—	—	—	—	—
2014	21	ROK MLE	GCL Blue Jays	—	25	23	5	1	1	0	2	9	0	0	0	217	280	348	628	130	288	36	8	224	38	—	—	—	—	—	—
2015	22	A MLE	Lansing Lugnuts	—	208	198	27	7	1	0	7	65	1	8	3	136	174	182	356	45	191	31	3	157	-8	—	—	—	—	—	—
2016	23	A MLE	2 teams	—	447	407	82	22	3	7	30	148	7	22	12	201	270	322	592	120	286	33	7	258	61	—	—	—	—	—	—
2017	24	AA MLE	New Hampshire Fisher Cats	—	485	449	83	16	1	8	31	167	2	10	5	185	242	278	521	94	270	34	6	233	44	—	—	—	—	—	—
2018	25	AA MLE	2 teams	—	390	361	76	18	2	5	24	122	2	8	5	211	266	313	579	102	301	31	6	250	56	—	—	—	—	—	—
2019	26	AA MLE	2 teams	—	82	77	7	2	0	1	4	48	1	7	0	91	146	156	302	65	218	59	5	143	-17	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1637	1500	280	66	8	21	98	559	13	55	25	187	243	283	526	97	278	34	6	230	42	-114	+1	+0	+18	+35	-6.1
/ 162G	—	MLE		—	650	596	110	26	3	8	39	222	5	22	10	185	241	279	519	94	275	34	6	230	42	-45	+0	+0	+7	+14	-2.4

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.

2019 AANew Hampshire Fisher Cats · 57 PAwOBA .251 → .195 (−56)K% 35.1% → 42.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.09%	÷1.006	×1.220	—	—	42.53%
BB% (unintentional) /PA	8.77%	÷0.956	×0.700	—	×0.978	6.28%
HBP% /PA	1.75%	—	×0.850	—	×0.978	1.46%
Singles /BIP	16.13%	÷1.023	×0.970	—	×0.978	14.96%
Doubles /BIP	9.68%	÷1.064	×0.860	—	×0.978	7.65%
Triples /BIP	0.00%	÷0.900	×0.950	—	×0.978	0.00%
Home runs /BIP	3.23%	÷0.860	×0.780	—	×0.978	2.86%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 105, 2B 113, 3B 80, K 101, BB 91 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .251 → .195; ISO .118 → .090; BABIP .267 → .233. 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 AAABuffalo Bisons · 25 PAwOBA .063 → .025 (−38)K% 76.0% → 94.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	76.00%	÷0.968	×1.200	—	—	94.18%
BB% (unintentional) /PA	4.00%	÷0.953	×0.690	—	×1.003	2.91%
HBP% /PA	0.00%	—	×0.940	—	×1.003	0.00%
Singles /BIP	20.00%	÷1.011	×0.930	—	×1.003	18.44%
Doubles /BIP	0.00%	÷0.954	×0.830	—	×1.003	0.00%
Triples /BIP	0.00%	÷0.909	×0.970	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.000	×0.840	—	×1.003	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — 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).

Result: wOBA .063 → .025; ISO .000 → .000; BABIP .200 → .184. 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 AANew Hampshire Fisher Cats · 320 PAwOBA .279 → .244 (−35)K% 23.8% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.75%	÷1.033	×1.220	—	—	28.04%
BB% (unintentional) /PA	8.12%	÷0.961	×0.700	—	×0.988	5.85%
HBP% /PA	0.62%	—	×0.850	—	×0.988	0.52%
Singles /BIP	20.67%	÷0.995	×0.970	×0.990	×0.988	19.72%
Doubles /BIP	7.69%	÷0.980	×0.860	×0.990	×0.988	6.60%
Triples /BIP	0.96%	÷1.086	×0.950	×0.990	×0.988	0.82%
Home runs /BIP	1.92%	÷0.945	×0.780	—	×0.988	1.57%

Factors used: league row EL. Park (home-season share, regressed): HR 89, 1B 99, 2B 96, 3B 117, K 107, BB 92 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .279 → .244; ISO .113 → .096; BABIP .295 → .272. 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 AAABuffalo Bisons · 70 PAwOBA .353 → .280 (−73)K% 38.6% → 46.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	38.57%	÷0.993	×1.200	—	—	46.62%
BB% (unintentional) /PA	10.00%	÷0.954	×0.690	—	×1.018	7.36%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	30.56%	÷0.970	×0.930	—	×1.018	29.83%
Doubles /BIP	13.89%	÷0.987	×0.830	—	×1.018	11.89%
Triples /BIP	0.00%	÷1.150	×0.970	—	×1.018	0.00%
Home runs /BIP	5.56%	÷1.080	×0.840	—	×1.018	4.40%

Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — 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 .353 → .280; ISO .175 → .128; BABIP .471 → .436. 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 AANew Hampshire Fisher Cats · 485 PAwOBA .294 → .233 (−61)K% 28.5% → 34.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.45%	÷1.007	×1.220	—	—	34.49%
BB% (unintentional) /PA	9.07%	÷0.995	×0.700	—	×0.998	6.37%
HBP% /PA	0.41%	—	×0.850	—	×0.998	0.35%
Singles /BIP	22.11%	÷1.024	×0.970	×0.981	×0.998	20.50%
Doubles /BIP	6.80%	÷1.024	×0.860	×0.981	×0.998	5.59%
Triples /BIP	0.34%	÷0.900	×0.950	×0.981	×0.998	0.35%
Home runs /BIP	4.42%	÷1.165	×0.780	—	×0.998	2.96%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — 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 ×0.981.

Result: wOBA .294 → .233; ISO .141 → .100; BABIP .303 → .270. 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 ALansing Lugnuts · 241 PAwOBA .337 → .259 (−79)K% 23.2% → 33.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.24%	÷0.944	×1.360	—	—	33.48%
BB% (unintentional) /PA	9.13%	÷0.970	×0.690	—	×0.980	6.36%
HBP% /PA	2.07%	—	×0.780	—	×0.980	1.59%
Singles /BIP	22.58%	÷1.044	×0.920	×1.008	×0.980	19.65%
Doubles /BIP	9.68%	÷0.982	×0.830	×1.008	×0.980	8.08%
Triples /BIP	1.94%	÷0.918	×0.910	×1.008	×0.980	1.89%
Home runs /BIP	2.58%	÷0.968	×0.800	—	×0.980	2.09%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 109, 2B 96, 3B 84, K 89, BB 94 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .337 → .259; ISO .156 → .121; BABIP .349 → .300. 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+Dunedin Blue Jays · 206 PAwOBA .327 → .257 (−70)K% 21.8% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.84%	÷0.955	×1.420	—	—	32.49%
BB% (unintentional) /PA	10.19%	÷1.038	×0.750	—	×0.988	7.28%
HBP% /PA	0.97%	—	×0.930	—	×0.988	0.89%
Singles /BIP	20.74%	÷1.042	×0.920	×0.989	×0.988	17.89%
Doubles /BIP	9.63%	÷1.064	×0.960	×0.989	×0.988	8.49%
Triples /BIP	0.00%	÷1.150	×0.810	×0.989	×0.988	0.00%
Home runs /BIP	3.70%	÷0.912	×0.880	—	×0.988	3.53%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 108, 2B 113, 3B 130, K 91, BB 108 — 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 ×0.989.

Result: wOBA .327 → .257; ISO .156 → .130; BABIP .311 → .269. 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 ALansing Lugnuts · 208 PAwOBA .209 → .157 (−52)K% 22.1% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.12%	÷0.968	×1.360	—	—	31.07%
BB% (unintentional) /PA	5.29%	÷1.005	×0.690	—	×0.990	3.59%
HBP% /PA	0.48%	—	×0.780	—	×0.990	0.37%
Singles /BIP	16.08%	÷1.043	×0.920	×1.015	×0.990	14.26%
Doubles /BIP	6.99%	÷1.210	×0.830	×1.015	×0.990	4.82%
Triples /BIP	0.70%	÷1.150	×0.910	×1.015	×0.990	0.56%
Home runs /BIP	0.00%	÷1.007	×0.800	—	×0.990	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 109, 2B 142, 3B 130, K 94, BB 101 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .209 → .157; ISO .063 → .042; BABIP .231 → .191. 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).