Mitch Nay

Pos3B

B/TR/R

Born1993-09-20

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

A+LAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	25	AAA/AACIN	393	.278/.344/.504	17	1	82	—	.220/.268/.388
2021	27	AALAA	430	.237/.347/.480	23	1	65	—	.184/.266/.337
2022	28	A+/ROKLAA	147	.189/.272/.303	4	0	13	—	.139/.197/.241

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)
2013	19	ROK	Bluefield Blue Jays	—	258	230	69	11	0	6	25	35	0	0	1	300	369	426	795	126	328	14	10	353	68	—	—	—	—	—	—
2014	20	A+	Dunedin Blue Jays	—	40	37	7	1	0	0	3	9	0	0	0	189	250	216	466	27	250	22	8	220	8	—	—	—	—	—	—
2014	20	A	Lansing Lugnuts	—	518	473	135	34	3	3	39	79	3	6	2	285	344	389	733	104	335	15	8	328	76	—	—	—	—	—	—
2015	21	A+	Dunedin Blue Jays	—	437	391	95	18	5	5	32	75	5	0	1	243	308	353	661	110	282	17	7	293	52	—	—	—	—	—	—
2016	22	ROK	GCL Blue Jays	—	23	22	2	0	0	0	0	9	1	0	0	91	130	91	221		154	39	0	111	-70	—	—	—	—	—	—
2017	23	A	Lansing Lugnuts	—	275	252	56	9	2	10	15	57	2	0	0	222	271	393	664	171	241	21	5	288	38	—	—	—	—	—	—
2018	24	AA	Pensacola Blue Wahoos	—	259	221	58	10	0	6	31	43	5	2	0	262	366	389	755	127	299	17	12	342	84	—	—	—	—	—	—
2018	24	A+	Daytona Tortugas	—	281	251	68	18	2	5	25	57	3	1	1	271	344	418	762	147	330	20	9	339	70	—	—	—	—	—	—
2019	25	AAA	Louisville Bats	—	109	100	21	3	0	4	9	26	0	0	0	210	275	360	635	150	243	24	8	286	34	—	—	—	—	—	—
2019	25	AA	Chattanooga Lookouts	—	284	253	77	22	2	13	25	48	2	1	0	304	371	561	933	257	327	17	9	400	100	—	—	—	—	—	—
2021	27	AA	Rocket City Trash Pandas	—	430	367	87	20	0	23	59	113	3	1	1	237	347	480	827	243	276	26	14	364	65	—	—	—	—	—	—
2022	28	A+	Tri-City Dust Devils	—	132	119	19	2	0	2	11	47	2	0	0	160	242	227	469	67	243	36	8	223	-8	—	—	—	—	—	—
2022	28	ROK	ACL Angels	—	15	13	6	1	0	2	2	1	0	0	0	462	533	1.000	1.533	538	400	7	13	637	199	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2013	19	ROK MLE	Bluefield Blue Jays	—	258	239	56	8	0	5	16	50	0	0	1	234	282	331	613	96	268	19	6	268	68	—	—	—	—	—	—
2014	20	A+ MLE	Dunedin Blue Jays	—	40	38	6	1	0	0	2	13	0	0	0	158	200	184	384	26	239	32	5	180	8	—	—	—	—	—	—
2014	20	A MLE	Lansing Lugnuts	—	518	486	125	28	2	3	26	106	3	6	2	257	299	342	641	84	318	20	5	281	76	—	—	—	—	—	—
2015	21	A+ MLE	Dunedin Blue Jays	—	437	398	82	16	4	4	25	112	5	0	1	206	262	296	558	90	258	26	6	245	52	—	—	—	—	—	—
2016	22	ROK MLE	GCL Blue Jays	—	23	22	1	0	0	0	0	13	1	0	0	45	87	45	132		122	57	0	65	-70	—	—	—	—	—	—
2017	23	A MLE	Lansing Lugnuts	—	275	257	45	7	1	8	10	81	2	0	0	175	212	304	515	128	207	29	4	225	38	—	—	—	—	—	—
2018	24	AA MLE	Pensacola Blue Wahoos	—	259	230	54	9	0	5	22	51	5	2	0	235	315	339	654	104	274	20	8	293	84	—	—	—	—	—	—
2018	24	A+ MLE	Daytona Tortugas	—	281	259	57	15	1	4	17	78	3	1	1	220	276	332	608	112	298	28	6	272	70	—	—	—	—	—	—
2019	25	AAA MLE	Louisville Bats	—	109	104	17	2	0	3	5	32	0	0	0	163	202	269	471	106	207	29	5	218	34	—	—	—	—	—	—
2019	25	AA MLE	Chattanooga Lookouts	—	284	261	63	16	2	10	17	60	2	1	0	241	293	433	726	192	269	21	6	316	100	—	—	—	—	—	—
2021	27	AA MLE	Rocket City Trash Pandas	—	430	386	71	17	0	14	40	135	3	1	1	184	266	337	603	153	238	31	9	264	65	—	—	—	—	—	—
2022	28	A+ MLE	Tri-City Dust Devils	—	132	123	14	1	0	2	7	61	2	0	0	114	174	171	345	57	202	46	5	157	-8	—	—	—	—	—	—
2022	28	ROK MLE	ACL Angels	—	15	14	5	1	0	2	1	1	0	0	0	357	400	857	1.257	500	280	7	7	463	199	—	—	—	—	—	—
2013	19	ROK MLE	Bluefield Blue Jays	—	258	239	56	8	0	5	16	50	0	0	1	234	282	331	613	96	273	19	6	268	68	—	—	—	—	—	—
2013	19	ROK RAW	Bluefield Blue Jays	—	258	230	69	11	0	6	25	35	0	0	1	300	369	426	795	126	328	14	10	353	68	—	—	—	—	—	—
2014	20	A MLE	2 teams	—	558	523	130	28	2	3	29	118	3	6	2	249	292	327	619	78	314	21	5	274	71	—	—	—	—	—	—
2014	20	A RAW	2 teams	—	558	510	142	35	3	3	42	88	3	6	2	278	337	376	713	98	329	16	8	321	71	—	—	—	—	—	—
2015	21	A+ MLE	Dunedin Blue Jays	—	437	398	82	16	4	4	25	112	5	0	1	206	262	296	558	90	269	26	6	245	52	—	—	—	—	—	—
2015	21	A+ RAW	Dunedin Blue Jays	—	437	391	95	18	5	5	32	75	5	0	1	243	308	353	661	110	282	17	7	293	52	—	—	—	—	—	—
2016	22	ROK MLE	GCL Blue Jays	—	23	22	1	0	0	0	0	13	1	0	0	45	87	45	132		111	57	0	65	-70	—	—	—	—	—	—
2016	22	ROK RAW	GCL Blue Jays	—	23	22	2	0	0	0	0	9	1	0	0	91	130	91	221		154	39	0	111	-70	—	—	—	—	—	—
2017	23	A MLE	Lansing Lugnuts	—	275	257	45	7	1	8	10	81	2	0	0	175	212	304	515	128	213	29	4	225	38	—	—	—	—	—	—
2017	23	A RAW	Lansing Lugnuts	—	275	252	56	9	2	10	15	57	2	0	0	222	271	393	664	171	241	21	5	288	38	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	540	489	111	24	1	9	39	129	8	3	1	227	295	335	630	108	287	24	7	282	77	—	—	—	—	—	—
2018	24	A+ RAW	2 teams	—	540	472	126	28	2	11	56	100	8	3	1	267	354	405	759	138	315	19	10	341	77	—	—	—	—	—	—
2019	25	AA MLE	2 teams	—	393	365	81	18	2	14	22	93	2	1	0	222	270	397	667	175	256	24	6	289	82	—	—	—	—	—	—
2019	25	AA RAW	2 teams	—	393	353	98	25	2	17	34	74	2	1	0	278	344	504	849	227	305	19	9	368	82	—	—	—	—	—	—
2021	27	AA MLE	Rocket City Trash Pandas	—	430	386	71	17	0	14	40	135	3	1	1	184	266	337	603	153	239	31	9	264	65	—	—	—	—	—	—
2021	27	AA RAW	Rocket City Trash Pandas	—	430	367	87	20	0	23	59	113	3	1	1	237	347	480	827	243	276	26	14	364	65	—	—	—	—	—	—
2022	28	A+ MLE	2 teams	—	147	137	18	2	0	3	8	62	2	0	0	131	190	212	402	80	208	42	5	188	14	—	—	—	—	—	—
2022	28	A+ RAW	2 teams	—	147	132	25	3	0	4	13	48	2	0	0	189	272	303	575	114	263	33	9	265	14	—	—	—	—	—	—
2013	19	ROK MLE	Bluefield Blue Jays	—	258	240	56	8	0	5	16	50	0	0	1	233	282	329	612	96	268	19	6	268	68	—	—	—	—	—	—
2014	20	A MLE	2 teams	—	558	521	130	28	2	3	29	118	3	6	2	250	292	328	620	79	312	21	5	274	71	—	—	—	—	—	—
2015	21	A+ MLE	Dunedin Blue Jays	—	437	404	82	16	4	4	25	112	5	0	1	203	262	292	554	89	258	26	6	245	52	—	—	—	—	—	—
2016	22	ROK MLE	GCL Blue Jays	—	23	22	1	0	0	0	0	13	1	0	0	45	87	45	132		122	57	0	65	-70	—	—	—	—	—	—
2017	23	A MLE	Lansing Lugnuts	—	275	261	45	7	1	8	10	81	2	0	0	172	212	299	511	126	207	29	4	225	38	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	540	488	111	24	1	9	39	129	8	3	1	227	295	336	631	109	286	24	7	282	77	—	—	—	—	—	—
2019	25	AA MLE	2 teams	—	393	366	81	18	2	14	22	93	2	1	0	221	270	396	666	175	252	24	6	289	82	—	—	—	—	—	—
2021	27	AA MLE	Rocket City Trash Pandas	—	430	384	71	17	0	14	40	135	3	1	1	185	266	339	604	154	238	31	9	264	65	—	—	—	—	—	—
2022	28	A+ MLE	2 teams	—	147	136	18	2	0	3	8	62	2	0	0	132	190	213	404	81	210	42	5	188	14	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3061	2816	595	120	10	60	189	793	26	11	6	211	267	325	592	114	269	26	6	261	63	-135	-0	+0	+11	+66	-5.9
/ 162G	—	MLE		—	650	598	126	25	2	13	40	168	6	2	1	211	267	324	591	114	267	26	6	261	63	-29	+0	+0	+2	+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.

2022 A+Tri-City Dust Devils · 132 PAwOBA .218 → .157 (−61)K% 35.6% → 46.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.61%	÷1.046	×1.350	—	—	45.96%
BB% (unintentional) /PA	8.33%	÷1.027	×0.710	—	×0.940	5.41%
HBP% /PA	1.52%	—	×0.810	—	×0.940	1.15%
Singles /BIP	20.83%	÷1.052	×0.910	×1.019	×0.940	17.27%
Doubles /BIP	2.78%	÷0.939	×0.830	×1.019	×0.940	2.35%
Triples /BIP	0.00%	÷1.150	×0.820	×1.019	×0.940	0.00%
Home runs /BIP	2.78%	÷0.814	×0.830	—	×0.940	2.66%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 63, 1B 110, 2B 88, 3B 130, K 109, BB 106 — applied at half strength. Age: age 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .218 → .157; ISO .067 → .054; BABIP .243 → .202. 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 ROKACL Angels · 15 PAwOBA .618 → .463 (−155)K% 6.7% → 9.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.67%	÷1.011	×1.440	—	—	9.50%
BB% (unintentional) /PA	13.33%	÷0.964	×0.620	—	×0.940	8.06%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	25.00%	÷1.015	×0.820	—	×0.940	18.98%
Doubles /BIP	8.33%	÷1.044	×0.720	—	×0.940	5.40%
Triples /BIP	0.00%	÷1.033	×0.720	—	×0.940	0.00%
Home runs /BIP	16.67%	÷0.943	×0.780	—	×0.940	12.95%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 109, 3B 107, K 102, BB 93 — applied at half strength. Age: age 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).

Result: wOBA .618 → .463; ISO .538 → .421; BABIP .400 → .280. 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 AARocket City Trash Pandas · 430 PAwOBA .356 → .264 (−92)K% 26.3% → 31.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.28%	÷1.018	×1.220	—	—	31.50%
BB% (unintentional) /PA	13.72%	÷0.992	×0.690	—	×0.968	9.24%
HBP% /PA	0.70%	—	×0.850	—	×0.968	0.57%
Singles /BIP	17.32%	÷0.985	×0.940	×0.981	×0.968	15.69%
Doubles /BIP	7.87%	÷0.947	×0.870	×0.981	×0.968	6.87%
Triples /BIP	0.00%	÷1.150	×0.920	×0.981	×0.968	0.00%
Home runs /BIP	9.06%	÷1.249	×0.780	—	×0.968	5.47%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 97, 2B 89, 3B 130, K 104, BB 98 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .356 → .264; ISO .243 → .160; BABIP .276 → .238. 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 AAChattanooga Lookouts · 284 PAwOBA .393 → .316 (−78)K% 16.9% → 21.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.90%	÷0.967	×1.220	—	—	21.33%
BB% (unintentional) /PA	8.45%	÷0.949	×0.680	—	×0.988	5.98%
HBP% /PA	0.70%	—	×0.840	—	×0.988	0.58%
Singles /BIP	19.51%	÷0.974	×0.920	×0.950	×0.988	17.29%
Doubles /BIP	10.73%	÷1.160	×0.910	×0.950	×0.988	7.90%
Triples /BIP	0.98%	÷0.900	×0.880	×0.950	×0.988	0.90%
Home runs /BIP	6.34%	÷0.979	×0.800	—	×0.988	5.12%

Factors used: league row SL. Park (home-season share, regressed): HR 96, 1B 95, 2B 132, 3B 80, K 93, BB 90 — 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 ×0.950.

Result: wOBA .393 → .316; ISO .257 → .203; BABIP .327 → .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).

2019 AAALouisville Bats · 109 PAwOBA .278 → .218 (−60)K% 23.9% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.85%	÷0.960	×1.200	—	—	29.80%
BB% (unintentional) /PA	8.26%	÷1.151	×0.690	—	×1.018	5.04%
HBP% /PA	0.00%	—	×0.940	—	×1.018	0.00%
Singles /BIP	18.92%	÷1.018	×0.930	×0.950	×1.018	16.72%
Doubles /BIP	4.05%	÷1.082	×0.830	×0.950	×1.018	3.01%
Triples /BIP	0.00%	÷1.150	×0.970	×0.950	×1.018	0.00%
Home runs /BIP	5.41%	÷0.957	×0.840	—	×1.018	4.83%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 116, 3B 130, K 92, BB 130 — 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 ×0.950.

Result: wOBA .278 → .218; ISO .150 → .124; BABIP .243 → .207. 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+Daytona Tortugas · 281 PAwOBA .330 → .272 (−58)K% 20.3% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.28%	÷1.035	×1.420	—	—	27.83%
BB% (unintentional) /PA	8.19%	÷0.994	×0.750	—	×0.978	6.04%
HBP% /PA	1.07%	—	×0.930	—	×0.978	0.97%
Singles /BIP	22.16%	÷1.006	×0.920	×1.030	×0.978	20.41%
Doubles /BIP	9.28%	÷1.088	×0.960	×1.030	×0.978	8.25%
Triples /BIP	1.03%	÷1.047	×0.810	×1.030	×0.978	0.80%
Home runs /BIP	2.58%	÷1.058	×0.880	—	×0.978	2.10%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, BB 99 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .330 → .272; ISO .147 → .118; BABIP .330 → .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).

2018 AAPensacola Blue Wahoos · 259 PAwOBA .336 → .293 (−43)K% 16.6% → 19.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.60%	÷1.030	×1.220	—	—	19.66%
BB% (unintentional) /PA	11.97%	÷0.967	×0.680	—	×0.998	8.40%
HBP% /PA	1.93%	—	×0.840	—	×0.998	1.62%
Singles /BIP	23.60%	÷1.023	×0.920	×1.031	×0.998	21.82%
Doubles /BIP	5.62%	÷1.039	×0.910	×1.031	×0.998	5.06%
Triples /BIP	0.00%	÷1.006	×0.880	×1.031	×0.998	0.00%
Home runs /BIP	3.37%	÷0.909	×0.800	—	×0.998	2.96%

Factors used: league row SL. Park (home-season share, regressed): HR 82, 1B 105, 2B 108, 3B 101, K 106, BB 93 — 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 ×1.031.

Result: wOBA .336 → .293; ISO .127 → .115; BABIP .299 → .274. 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 ALansing Lugnuts · 275 PAwOBA .286 → .225 (−61)K% 20.7% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.73%	÷0.960	×1.360	—	—	29.37%
BB% (unintentional) /PA	5.45%	÷1.055	×0.690	—	×0.980	3.50%
HBP% /PA	0.73%	—	×0.780	—	×0.980	0.56%
Singles /BIP	17.95%	÷0.988	×0.920	×0.982	×0.980	16.08%
Doubles /BIP	4.62%	÷1.033	×0.830	×0.982	×0.980	3.57%
Triples /BIP	1.03%	÷1.150	×0.910	×0.982	×0.980	0.78%
Home runs /BIP	5.13%	÷0.894	×0.800	—	×0.980	4.50%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 98, 2B 107, 3B 130, K 92, BB 111 — 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 ×0.982.

Result: wOBA .286 → .225; ISO .171 → .135; BABIP .241 → .207. 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).