Michael Crouse

PosRF

B/TR/R

Born1990-11-22

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	26	INTLMelbourne Aces	121	.252/.364/.505	6	7	145	—
2018	27	INTLCanberra Cava…	49	.429/.500/.714	4	3	234	—
2019	28	AAA/INTL2 orgs	285	.237/.333/.470	14	13	84	—	.190/.270/.365

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)
2008	17	ROK	GCL Blue Jays	—	20	15	2	0	1	0	3	7	1	1	1	133	316	267	582	133	250	35	15	267	7	—	—	—	—	—	—
2009	18	ROK	GCL Blue Jays	—	214	188	41	9	4	2	23	53	2	25	5	218	310	340	650	122	291	25	11	295	22	—	—	—	—	—	—
2010	19	A	Lansing Lugnuts	—	105	88	19	5	2	2	14	35	1	5	2	216	330	386	716	170	327	33	13	318	45	—	—	—	—	—	—
2010	19	ROK	GCL Blue Jays	—	107	96	32	7	3	4	9	32	2	9	6	333	402	594	996	260	467	30	8	432	71	—	—	—	—	—	—
2011	20	A	Lansing Lugnuts	—	421	364	95	26	5	14	44	113	9	38	8	261	355	475	830	214	336	27	10	364	72	—	—	—	—	—	—
2012	21	A+	Dunedin Blue Jays	—	231	202	41	9	1	6	26	73	2	9	5	203	300	347	647	144	282	32	11	294	33	—	—	—	—	—	—
2012	21	A	Lansing Lugnuts	—	141	124	24	3	0	4	15	44	1	6	2	194	286	315	600	121	260	31	11	275	13	—	—	—	—	—	—
2013	22	A+	Dunedin Blue Jays	—	347	300	75	18	2	8	39	92	5	21	9	250	346	403	749	153	330	27	11	335	56	—	—	—	—	—	—
2013	22	INTL	Canberra Cavalry	—	164	135	39	4	0	8	23	38	1	11	3	289	396	496	893	207	337	23	14	384	146	—	—	—	—	—	—
2014	23	AA	New Hampshire Fisher Cats	—	390	346	84	17	6	9	37	104	4	15	6	243	323	405	728	162	319	27	9	323	68	—	—	—	—	—	—
2017	26	INTL	Melbourne Aces	—	121	103	26	6	1	6	15	30	3	7	1	252	364	505	868	252	299	25	12	382	145	—	—	—	—	—	—
2018	27	INTL	Canberra Cavalry	—	49	42	18	0	0	4	5	8	1	3	2	429	500	714	1.214	286	467	16	10	515	234	—	—	—	—	—	—
2019	28	AAA	Algodoneros Union Laguna	—	152	130	33	6	1	9	22	49	0	4	3	254	362	523	885	269	333	32	14	387	69	—	—	—	—	—	—
2019	28	INTL	Sydney Blue Sox	—	133	119	26	6	1	5	14	46	0	9	0	218	301	412	713	193	309	35	11	317	101	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	17	ROK MLE	GCL Blue Jays	—	20	16	2	0	1	0	2	10	1	1	1	125	263	250	513	125	197	50	10	178	7	—	—	—	—	—	—
2009	18	ROK MLE	GCL Blue Jays	—	214	197	30	6	3	1	14	76	2	25	5	152	216	228	444	76	233	36	7	200	22	—	—	—	—	—	—
2010	19	A MLE	Lansing Lugnuts	—	105	92	15	3	2	2	10	47	1	5	2	163	252	304	557	141	282	45	10	235	45	—	—	—	—	—	—
2010	19	ROK MLE	GCL Blue Jays	—	107	99	21	4	2	3	6	46	2	9	6	212	271	384	655	172	360	43	6	273	71	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	421	379	76	18	4	11	29	160	9	38	8	201	273	356	630	156	298	38	7	275	72	—	—	—	—	—	—
2012	21	A+ MLE	Dunedin Blue Jays	—	231	209	32	7	1	5	19	103	2	9	5	153	230	268	498	115	254	45	8	217	33	—	—	—	—	—	—
2012	21	A MLE	Lansing Lugnuts	—	141	129	17	2	0	3	10	63	1	6	2	132	200	217	417	85	217	45	7	187	13	—	—	—	—	—	—
2013	22	A+ MLE	Dunedin Blue Jays	—	347	312	59	15	2	5	27	130	5	21	9	189	265	298	563	109	290	37	8	251	56	—	—	—	—	—	—
2014	23	AA MLE	New Hampshire Fisher Cats	—	390	358	76	15	6	6	25	130	4	15	6	212	271	338	609	126	309	33	6	268	68	—	—	—	—	—	—
2019	28	AAA MLE	Algodoneros Union Laguna	—	152	137	26	4	1	6	15	61	0	4	3	190	270	365	635	175	282	40	10	270	69	—	—	—	—	—	—
2008	17	ROK MLE	GCL Blue Jays	—	20	16	2	0	1	0	2	10	1	1	1	125	263	250	513	125	333	50	10	178	7	—	—	—	—	—	—
2008	17	ROK RAW	GCL Blue Jays	—	20	15	2	0	1	0	3	7	1	1	1	133	316	267	582	133	250	35	15	267	7	—	—	—	—	—	—
2009	18	ROK MLE	GCL Blue Jays	—	214	197	30	6	3	1	14	76	2	25	5	152	216	228	444	76	240	36	7	200	22	—	—	—	—	—	—
2009	18	ROK RAW	GCL Blue Jays	—	214	188	41	9	4	2	23	53	2	25	5	218	310	340	650	122	291	25	11	295	22	—	—	—	—	—	—
2010	19	ROK MLE	2 teams	—	212	192	35	8	3	4	15	94	3	14	8	182	252	318	570	135	326	44	7	254	58	—	—	—	—	—	—
2010	19	ROK RAW	2 teams	—	212	184	51	12	5	6	23	67	3	14	8	277	367	495	861	217	402	32	11	375	58	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	421	379	76	18	4	11	29	160	9	38	8	201	273	356	630	156	307	38	7	275	72	—	—	—	—	—	—
2011	20	A RAW	Lansing Lugnuts	—	421	364	95	26	5	14	44	113	9	38	8	261	355	475	830	214	336	27	10	364	72	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	372	338	49	9	1	8	29	167	3	15	7	145	219	249	467	104	248	45	8	206	25	—	—	—	—	—	—
2012	21	A+ RAW	2 teams	—	372	326	65	12	1	10	41	117	3	15	7	199	295	334	629	135	274	31	11	287	25	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	511	457	86	22	2	8	40	191	6	32	12	188	262	298	560	109	295	37	8	251	56	—	—	—	—	—	—
2013	22	A+ RAW	2 teams	—	511	435	114	22	2	16	62	130	6	32	12	262	362	432	794	170	332	25	12	351	56	—	—	—	—	—	—
2014	23	AA MLE	New Hampshire Fisher Cats	—	390	358	76	15	6	6	25	130	4	15	6	212	271	338	609	126	312	33	6	268	68	—	—	—	—	—	—
2014	23	AA RAW	New Hampshire Fisher Cats	—	390	346	84	17	6	9	37	104	4	15	6	243	323	405	728	162	319	27	9	323	68	—	—	—	—	—	—
2017	26	INTL MLE	Melbourne Aces	—	121	103	26	6	1	6	15	30	3	7	1	252	364	505	868	252	299	25	12	—	—	—	—	—	—	—	—
2017	26	INTL RAW	Melbourne Aces	—	121	103	26	6	1	6	15	30	3	7	1	252	364	505	868	252	299	25	12	382	145	—	—	—	—	—	—
2018	27	INTL MLE	Canberra Cavalry	—	49	42	18	0	0	4	5	8	1	3	2	429	500	714	1.214	286	467	16	10	—	—	—	—	—	—	—	—
2018	27	INTL RAW	Canberra Cavalry	—	49	42	18	0	0	4	5	8	1	3	2	429	500	714	1.214	286	467	16	10	515	234	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	285	257	48	8	1	11	28	115	0	13	3	187	267	354	621	167	282	40	10	270	69	—	—	—	—	—	—
2019	28	AAA RAW	2 teams	—	285	249	59	12	2	14	36	95	0	13	3	237	333	470	803	233	321	33	13	354	69	—	—	—	—	—	—
2008	17	ROK MLE	GCL Blue Jays	—	20	17	2	0	1	0	2	10	1	1	1	118	263	235	498	118	197	50	10	178	7	—	—	—	—	—	—
2009	18	ROK MLE	GCL Blue Jays	—	214	196	30	6	3	1	14	76	2	25	5	153	216	230	446	77	233	36	7	200	22	—	—	—	—	—	—
2010	19	ROK MLE	2 teams	—	212	192	35	8	3	4	15	94	3	14	8	182	252	318	570	135	321	44	7	254	58	—	—	—	—	—	—
2011	20	A MLE	Lansing Lugnuts	—	421	380	76	18	4	11	29	160	9	38	8	200	273	355	629	155	298	38	7	275	72	—	—	—	—	—	—
2012	21	A+ MLE	2 teams	—	372	337	49	9	1	8	29	167	3	15	7	145	219	249	468	104	240	45	8	206	25	—	—	—	—	—	—
2013	22	A+ MLE	2 teams	—	511	460	86	22	2	8	40	191	6	32	12	187	262	296	558	109	290	37	8	251	56	—	—	—	—	—	—
2014	23	AA MLE	New Hampshire Fisher Cats	—	390	358	76	15	6	6	25	130	4	15	6	212	271	338	609	126	309	33	6	268	68	—	—	—	—	—	—
2019	28	AAA MLE	2 teams	—	285	255	48	8	1	11	28	115	0	13	3	188	267	357	624	169	282	40	10	270	69	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2595	2339	446	92	22	59	202	981	32	163	53	191	264	324	589	134	294	38	8	232	43	-175	+11	+0	-28	+56	-13.8
/ 162G	—	MLE		—	650	586	112	23	6	15	51	246	8	41	13	191	266	328	593	137	295	38	8	232	43	-44	+3	+0	-7	+14	-3.4

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 AAAAlgodoneros Union Laguna · 152 PAwOBA .376 → .270 (−107)K% 32.2% → 40.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.24%	÷0.956	×1.200	—	—	40.45%
BB% (unintentional) /PA	14.47%	÷1.004	×0.690	—	×0.982	9.76%
HBP% /PA	0.00%	—	×0.940	—	×0.982	0.00%
Singles /BIP	20.99%	÷0.981	×0.930	—	×0.982	19.54%
Doubles /BIP	7.41%	÷1.076	×0.830	—	×0.982	5.61%
Triples /BIP	1.23%	÷1.116	×0.920	—	×0.982	1.00%
Home runs /BIP	11.11%	÷1.028	×0.700	—	×0.982	7.43%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 115, 3B 123, K 91, BB 101 — 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).

Result: wOBA .376 → .270; ISO .269 → .174; BABIP .333 → .282. 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 AANew Hampshire Fisher Cats · 390 PAwOBA .316 → .268 (−49)K% 26.7% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.67%	÷0.976	×1.220	—	—	33.32%
BB% (unintentional) /PA	9.49%	÷1.062	×0.700	—	×1.012	6.33%
HBP% /PA	1.03%	—	×0.850	—	×1.012	0.88%
Singles /BIP	21.49%	÷1.012	×0.970	×1.014	×1.012	21.14%
Doubles /BIP	7.02%	÷0.952	×0.860	×1.014	×1.012	6.51%
Triples /BIP	2.48%	÷0.921	×0.950	×1.014	×1.012	2.62%
Home runs /BIP	3.72%	÷1.066	×0.780	—	×1.012	2.75%

Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 102, 2B 90, 3B 84, K 95, BB 112 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .316 → .268; ISO .162 → .134; BABIP .319 → .309. 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 A+Dunedin Blue Jays · 347 PAwOBA .329 → .251 (−77)K% 26.5% → 37.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.51%	÷1.007	×1.420	—	—	37.37%
BB% (unintentional) /PA	10.95%	÷1.032	×0.750	—	×0.998	7.94%
HBP% /PA	1.44%	—	×0.930	—	×0.998	1.34%
Singles /BIP	22.60%	÷1.025	×0.920	×0.979	×0.998	19.81%
Doubles /BIP	8.65%	÷1.023	×0.960	×0.979	×0.998	7.94%
Triples /BIP	0.96%	÷0.900	×0.810	×0.979	×0.998	0.85%
Home runs /BIP	3.85%	÷1.160	×0.880	—	×0.998	2.91%

Factors used: league row FSL. Park (home-season share, regressed): HR 132, 1B 105, 2B 105, 3B 80, K 101, BB 106 — 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 ×0.979.

Result: wOBA .329 → .251; ISO .153 → .113; BABIP .330 → .290. 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+Dunedin Blue Jays · 231 PAwOBA .288 → .217 (−71)K% 31.6% → 44.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.60%	÷1.001	×1.420	—	—	44.81%
BB% (unintentional) /PA	11.26%	÷1.020	×0.750	—	×1.012	8.38%
HBP% /PA	0.87%	—	×0.930	—	×1.012	0.81%
Singles /BIP	19.38%	÷1.034	×0.920	×1.016	×1.012	17.73%
Doubles /BIP	6.98%	÷1.111	×0.960	×1.016	×1.012	6.20%
Triples /BIP	0.78%	÷1.014	×0.810	×1.016	×1.012	0.64%
Home runs /BIP	4.65%	÷0.944	×0.880	—	×1.012	4.39%

Factors used: league row FSL. Park (home-season share, regressed): HR 89, 1B 107, 2B 122, 3B 103, K 100, BB 104 — 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 ×1.016.

Result: wOBA .288 → .217; ISO .144 → .109; BABIP .282 → .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 ALansing Lugnuts · 141 PAwOBA .270 → .187 (−82)K% 31.2% → 44.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.21%	÷0.946	×1.360	—	—	44.88%
BB% (unintentional) /PA	10.64%	÷1.057	×0.690	—	—	6.95%
HBP% /PA	0.71%	—	×0.780	—	—	0.55%
Singles /BIP	21.25%	÷1.039	×0.920	×0.966	—	18.16%
Doubles /BIP	3.75%	÷1.028	×0.830	×0.966	—	2.92%
Triples /BIP	0.00%	÷1.051	×0.910	×0.966	—	0.00%
Home runs /BIP	5.00%	÷0.936	×0.800	—	—	4.27%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 108, 2B 106, 3B 110, K 89, BB 111 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .270 → .187; ISO .121 → .085; BABIP .260 → .217. 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).

2011 ALansing Lugnuts · 421 PAwOBA .356 → .275 (−81)K% 26.8% → 37.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.84%	÷0.963	×1.360	—	—	37.90%
BB% (unintentional) /PA	9.98%	÷1.007	×0.690	—	×1.015	6.94%
HBP% /PA	2.14%	—	×0.780	—	×1.015	1.69%
Singles /BIP	19.92%	÷1.001	×0.920	×1.017	×1.015	18.91%
Doubles /BIP	10.36%	÷1.103	×0.830	×1.017	×1.015	8.05%
Triples /BIP	1.99%	÷0.982	×0.910	×1.017	×1.015	1.91%
Home runs /BIP	5.58%	÷0.921	×0.800	—	×1.015	4.92%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 100, 2B 121, 3B 96, K 93, BB 101 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .356 → .275; ISO .214 → .165; BABIP .336 → .298. 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).

2010 ROKGCL Blue Jays · 107 PAwOBA .420 → .273 (−147)K% 29.9% → 43.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.91%	÷1.000	×1.440	—	—	43.07%
BB% (unintentional) /PA	8.41%	÷1.000	×0.620	—	×0.995	5.19%
HBP% /PA	1.87%	—	×0.720	—	×0.995	1.34%
Singles /BIP	28.12%	÷1.000	×0.820	×1.004	×0.995	23.04%
Doubles /BIP	10.94%	÷1.000	×0.720	×1.004	×0.995	7.87%
Triples /BIP	4.69%	÷1.000	×0.720	×1.004	×0.995	3.37%
Home runs /BIP	6.25%	÷1.000	×0.780	—	×0.995	4.85%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .420 → .273; ISO .260 → .164; BABIP .467 → .360. 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).

2010 ALansing Lugnuts · 105 PAwOBA .313 → .235 (−78)K% 33.3% → 45.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.003	×1.360	—	—	45.20%
BB% (unintentional) /PA	13.33%	÷1.033	×0.690	—	×1.030	9.17%
HBP% /PA	0.95%	—	×0.780	—	×1.030	0.77%
Singles /BIP	18.87%	÷1.039	×0.920	×0.993	×1.030	17.08%
Doubles /BIP	9.43%	÷1.116	×0.830	×0.993	×1.030	7.17%
Triples /BIP	3.77%	÷0.992	×0.910	×0.993	×1.030	3.54%
Home runs /BIP	3.77%	÷0.891	×0.800	—	×1.030	3.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 108, 2B 123, 3B 98, K 101, BB 107 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.993.

Result: wOBA .313 → .235; ISO .170 → .132; BABIP .327 → .282. 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 — .