John Nogowski

Pos1B

B/TR/L

Born1993-01-05

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2020	27	INTLAguilas Cibae…	89	.260/.345/.299	1	1	86	—
2021	28	AAA/INTL2 orgs	309	.207/.322/.310	6	9	52	—	.174/.271/.257
2021	28	MLBPIT	143	.233/.303/.310	1	0	75	-1.3
2022	29	AAA/AA/INTL2 orgs	546	.239/.358/.354	10	13	71	—	.216/.310/.305
2023	30	No MLB games played
2024	31	No MLB games played
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR -1.3

Contract

No contract data on file.

Scouting grades · 20-80

Power31Speed31Eye77

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	AZL Athletics	—	37	35	10	3	1	0	2	4	0	0	0	286	324	429	753	143	323	11	5	332	44	—	—	—	—	—	—
2015	22	A+	Stockton Ports	—	402	354	97	20	0	4	39	47	5	1	1	274	354	364	719	90	304	12	10	326	75	—	—	—	—	—	—
2016	23	AA	Midland RockHounds	—	26	23	3	1	0	1	3	3	0	0	0	130	231	304	535	174	105	12	12	245	13	—	—	—	—	—	—
2016	23	A+	Stockton Ports	—	325	288	82	15	0	7	25	37	7	0	1	285	356	410	766	125	305	11	8	341	79	—	—	—	—	—	—
2017	24	AA	Springfield Cardinals	—	238	207	61	12	0	2	27	25	2	2	0	295	381	382	763	87	324	11	11	346	81	—	—	—	—	—	—
2017	24	INTL	Surprise Saguaros	—	35	32	6	4	0	0	3	7	0	0	0	188	257	312	570	125	240	20	9	258	61	—	—	—	—	—	—
2018	25	AA	Springfield Cardinals	—	347	298	92	10	0	12	41	21	3	0	2	309	398	463	861	154	296	6	12	380	99	—	—	—	—	—	—
2018	25	ROK	GCL Cardinals	—	34	29	10	0	0	0	3	4	1	1	0	345	424	345	769		385	12	9	349	65	—	—	—	—	—	—
2018	25	INTL	Yaquis de Obregon	—	93	82	21	2	0	1	7	13	1	1	3	256	322	317	639	61	290	14	8	286	79	—	—	—	—	—	—
2019	26	AAA	Memphis Redbirds	—	463	380	112	22	1	15	69	54	10	1	2	295	416	476	892	182	308	12	15	396	105	—	—	—	—	—	—
2019	26	INTL	Aguilas Cibaenas	—	138	114	36	6	0	4	17	12	4	1	0	316	422	474	896	158	317	9	12	394	153	—	—	—	—	—	—
2020	27	INTL	Aguilas Cibaenas	—	89	77	20	0	0	1	10	9	0	1	0	260	345	299	644	39	275	10	11	295	86	—	—	—	—	—	—
2021	28	MLB	Pittsburgh Pirates	—	143	129	30	7	0	1	12	22	1	0	1	233	303	310	613	78	271	15	8	280	75	-4	-0	-3	-8	+3	-1.3
2021	28	AAA	Sacramento River Cats	—	248	209	44	7	0	6	30	43	8	6	0	211	332	330	662	120	236	17	12	308	53	—	—	—	—	—	—
2021	28	INTL	Aguilas Cibaenas	—	61	52	10	2	0	0	7	8	0	3	0	192	283	231	514	38	222	13	11	241	49	—	—	—	—	—	—
2022	29	AAA	Rochester Red Wings	—	351	286	76	17	0	4	51	53	6	12	3	266	388	367	755	101	304	15	15	342	81	—	—	—	—	—	—
2022	29	AA	Harrisburg Senators	—	132	109	22	4	0	4	20	13	2	1	2	202	336	349	685	147	194	10	15	315	56	—	—	—	—	—	—
2022	29	INTL	Toros del Este	—	63	57	10	1	0	2	5	12	0	0	1	175	242	298	540	123	182	19	8	242	50	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	143	129	30	7	0	1	12	22	1	0	1	233	303	310	613	78	271	15	8	280	76	-4	-0	-3	-8	+3	-1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	21	ROK MLE	AZL Athletics	—	37	36	8	2	1	0	1	6	0	0	0	222	243	333	577	111	248	16	3	233	44	—	—	—	—	—	—
2015	22	A+ MLE	Stockton Ports	—	402	365	92	17	0	2	28	59	5	1	1	252	314	315	629	63	287	15	7	279	75	—	—	—	—	—	—
2016	23	AA MLE	Midland RockHounds	—	26	24	3	1	0	1	2	4	0	0	0	125	192	292	484	167	90	15	8	187	13	—	—	—	—	—	—
2016	23	A+ MLE	Stockton Ports	—	325	297	74	13	0	6	16	48	7	0	1	249	303	354	657	104	270	15	5	285	79	—	—	—	—	—	—
2017	24	AA MLE	Springfield Cardinals	—	238	216	55	10	0	1	18	31	2	2	0	255	318	315	633	60	289	13	8	288	81	—	—	—	—	—	—
2018	25	AA MLE	Springfield Cardinals	—	347	311	84	9	0	8	28	26	3	0	2	270	336	376	712	106	264	7	8	315	99	—	—	—	—	—	—
2018	25	ROK MLE	GCL Cardinals	—	34	30	8	0	0	0	2	6	1	1	0	267	333	267	600		298	18	6	265	65	—	—	—	—	—	—
2019	26	AAA MLE	Memphis Redbirds	—	463	401	97	19	1	12	48	71	10	1	2	242	338	384	722	142	262	15	10	323	105	—	—	—	—	—	—
2021	28	MLB MLE	Pittsburgh Pirates	—	143	129	30	7	0	1	12	22	1	0	1	233	303	310	613	78	271	15	8	280	75	-4	-0	-3	-8	+3	-1.3
2021	28	AAA MLE	Sacramento River Cats	—	248	218	38	6	0	4	21	50	8	6	0	174	271	257	528	83	206	20	8	247	53	—	—	—	—	—	—
2022	29	AAA MLE	Rochester Red Wings	—	351	302	70	15	0	3	35	61	6	12	3	232	324	311	635	79	264	17	10	288	81	—	—	—	—	—	—
2022	29	AA MLE	Harrisburg Senators	—	132	115	20	4	0	3	14	16	2	1	2	174	275	287	562	113	167	12	11	251	56	—	—	—	—	—	—
2014	21	ROK MLE	AZL Athletics	—	37	36	8	2	1	0	1	6	0	0	0	222	243	333	577	111	267	16	3	233	44	—	—	—	—	—	—
2014	21	ROK RAW	AZL Athletics	—	37	35	10	3	1	0	2	4	0	0	0	286	324	429	753	143	323	11	5	332	44	—	—	—	—	—	—
2015	22	A+ MLE	Stockton Ports	—	402	365	92	17	0	2	28	59	5	1	1	252	314	315	629	63	293	15	7	279	75	—	—	—	—	—	—
2015	22	A+ RAW	Stockton Ports	—	402	354	97	20	0	4	39	47	5	1	1	274	354	364	719	90	304	12	10	326	75	—	—	—	—	—	—
2016	23	A+ MLE	2 teams	—	351	321	77	14	0	7	18	52	7	0	1	240	295	349	644	109	265	15	5	278	74	—	—	—	—	—	—
2016	23	A+ RAW	2 teams	—	351	311	85	16	0	8	28	40	7	0	1	273	347	402	749	129	291	11	8	334	74	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	273	248	64	12	0	1	21	35	2	2	0	258	321	319	640	60	294	13	8	288	81	—	—	—	—	—	—
2017	24	AA RAW	2 teams	—	273	239	67	16	0	2	30	32	2	2	0	280	365	372	738	92	314	12	11	335	81	—	—	—	—	—	—
2018	25	AA MLE	3 teams	—	474	423	114	11	0	10	37	39	5	2	5	270	335	366	702	97	273	8	8	311	96	—	—	—	—	—	—
2018	25	AA RAW	3 teams	—	474	409	123	12	0	13	51	38	5	2	5	301	385	425	810	125	301	8	11	360	96	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	601	517	127	25	1	16	63	92	14	2	2	246	343	391	734	145	267	15	10	323	105	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	601	494	148	28	1	19	86	66	14	2	2	300	418	476	893	176	310	11	14	396	105	—	—	—	—	—	—
2020	27	INTL MLE	Aguilas Cibaenas	—	89	77	20	0	0	1	10	9	0	1	0	260	345	299	644	39	275	10	11	—	—	—	—	—	—	—	—
2020	27	INTL RAW	Aguilas Cibaenas	—	89	77	20	0	0	1	10	9	0	1	0	260	345	299	644	39	275	10	11	295	86	—	—	—	—	—	—
2021	28	AAA MLE	3 teams	—	452	402	79	15	0	6	38	83	9	9	1	197	281	279	559	82	231	18	8	259	61	—	—	—	—	—	—
2021	28	AAA RAW	3 teams	—	452	390	84	16	0	7	49	73	9	9	1	215	316	310	627	95	246	16	11	290	61	—	—	—	—	—	—
2022	29	AAA MLE	3 teams	—	546	472	102	22	0	7	56	87	8	13	6	216	310	307	617	91	245	16	10	278	74	—	—	—	—	—	—
2022	29	AAA RAW	3 teams	—	546	452	108	22	0	10	76	78	8	13	6	239	358	354	712	115	262	14	14	324	74	—	—	—	—	—	—
2014	21	ROK MLE	AZL Athletics	—	37	36	8	2	1	0	1	6	0	0	0	222	243	333	577	111	248	16	3	233	44	—	—	—	—	—	—
2015	22	A+ MLE	Stockton Ports	—	402	366	92	17	0	2	28	59	5	1	1	251	314	314	628	63	287	15	7	279	75	—	—	—	—	—	—
2016	23	A+ MLE	2 teams	—	351	323	77	14	0	7	18	52	7	0	1	238	295	347	642	108	257	15	5	278	74	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	273	248	64	12	0	1	21	35	2	2	0	258	321	319	640	60	289	13	8	288	81	—	—	—	—	—	—
2018	25	AA MLE	3 teams	—	474	429	114	11	0	10	37	39	5	2	5	266	335	361	697	96	267	8	8	311	96	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	601	519	127	25	1	16	63	92	14	2	2	245	343	389	733	145	262	15	10	323	105	—	—	—	—	—	—
2021	28	AAA MLE	3 teams	—	452	402	79	15	0	6	38	83	9	9	1	197	281	279	559	82	230	18	8	259	61	—	—	—	—	—	—
2022	29	AAA MLE	3 teams	—	546	477	102	22	0	7	56	87	8	13	6	214	310	304	614	90	237	16	10	278	74	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	143	129	30	7	0	1	12	22	1	0	1	233	303	310	613	78	271	15	8	280	76	-4	-0	-3	-8	+3	-1.2
/ 162G	—	A+C		—	650	586	137	32	0	5	55	100	5	0	5	234	305	314	619	80	272	15	8	280	76	-19	-2	-12	-37	+14	-5.7
Career	—	MLE		—	3225	2861	683	118	2	50	272	462	50	30	16	239	316	334	650	95	265	14	8	281	76	-4	-0	-3	-8	+3	-1.2
/ 162G	—	MLE		—	650	577	137	24	0	10	55	93	10	6	3	237	315	331	646	94	264	14	8	281	76	-19	-2	-12	-37	+14	-5.7

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 AAARochester Red Wings · 351 PAwOBA .341 → .288 (−54)K% 15.1% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.10%	÷1.049	×1.200	—	—	17.28%
BB% (unintentional) /PA	14.53%	÷0.973	×0.690	—	×0.982	10.12%
HBP% /PA	1.71%	—	×0.940	—	×0.982	1.58%
Singles /BIP	23.61%	÷1.011	×0.930	×0.971	×0.982	20.71%
Doubles /BIP	7.30%	÷0.930	×0.830	×0.971	×0.982	6.21%
Triples /BIP	0.00%	÷0.913	×0.970	×0.971	×0.982	0.00%
Home runs /BIP	1.72%	÷1.084	×0.700	—	×0.982	1.09%

Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.

Result: wOBA .341 → .288; ISO .101 → .083; BABIP .304 → .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).

2022 AAHarrisburg Senators · 132 PAwOBA .310 → .251 (−59)K% 9.8% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.85%	÷0.996	×1.220	—	—	12.06%
BB% (unintentional) /PA	15.15%	÷0.980	×0.700	—	×0.958	10.37%
HBP% /PA	1.52%	—	×0.850	—	×0.958	1.23%
Singles /BIP	14.58%	÷1.016	×0.970	×0.964	×0.958	12.85%
Doubles /BIP	4.17%	÷0.936	×0.860	×0.964	×0.958	3.54%
Triples /BIP	0.00%	÷1.150	×0.950	×0.964	×0.958	0.00%
Home runs /BIP	4.17%	÷0.979	×0.780	—	×0.958	3.18%

Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 103, 2B 87, 3B 130, K 99, BB 96 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.

Result: wOBA .310 → .251; ISO .147 → .121; BABIP .194 → .167. 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 AAASacramento River Cats · 248 PAwOBA .300 → .247 (−53)K% 17.3% → 20.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.34%	÷1.034	×1.200	—	—	20.12%
BB% (unintentional) /PA	11.69%	÷0.956	×0.690	—	×0.992	8.37%
HBP% /PA	3.23%	—	×0.940	—	×0.992	3.01%
Singles /BIP	18.67%	÷1.049	×0.930	×0.997	×0.992	16.38%
Doubles /BIP	4.22%	÷0.916	×0.830	×0.997	×0.992	3.78%
Triples /BIP	0.00%	÷0.900	×0.920	×0.997	×0.992	0.00%
Home runs /BIP	3.61%	÷0.995	×0.700	—	×0.992	2.52%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 110, 2B 83, 3B 80, K 107, BB 91 — 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 ×0.997.

Result: wOBA .300 → .247; ISO .120 → .092; BABIP .236 → .206. 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 AAAMemphis Redbirds · 463 PAwOBA .390 → .323 (−67)K% 11.7% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.66%	÷0.986	×1.290	—	—	15.26%
BB% (unintentional) /PA	14.90%	÷1.035	×0.710	—	×1.018	10.41%
HBP% /PA	2.16%	—	×0.980	—	×1.018	2.15%
Singles /BIP	22.70%	÷1.014	×0.900	×0.950	×1.018	19.49%
Doubles /BIP	6.75%	÷0.917	×0.810	×0.950	×1.018	5.77%
Triples /BIP	0.31%	÷0.900	×0.810	×0.950	×1.018	0.27%
Home runs /BIP	4.60%	÷0.982	×0.780	—	×1.018	3.72%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 103, 2B 83, 3B 80, K 97, BB 107 — 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 .390 → .323; ISO .182 → .154; BABIP .308 → .262. 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 AASpringfield Cardinals · 347 PAwOBA .376 → .315 (−61)K% 6.1% → 7.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.05%	÷1.003	×1.220	—	—	7.36%
BB% (unintentional) /PA	11.82%	÷1.026	×0.700	—	×0.998	8.05%
HBP% /PA	0.86%	—	×0.870	—	×0.998	0.75%
Singles /BIP	25.27%	÷1.014	×0.920	×1.004	×0.998	22.97%
Doubles /BIP	3.61%	÷0.973	×0.840	×1.004	×0.998	3.12%
Triples /BIP	0.00%	÷0.900	×0.940	×1.004	×0.998	0.00%
Home runs /BIP	4.33%	÷1.215	×0.800	—	×0.998	2.85%

Factors used: league row TL. Park (home-season share, regressed): HR 143, 1B 103, 2B 95, 3B 80, K 101, BB 105 — 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 ×1.004.

Result: wOBA .376 → .315; ISO .154 → .114; BABIP .296 → .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).

2018 ROKGCL Cardinals · 34 PAwOBA .351 → .265 (−86)K% 11.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.000	×1.440	—	—	16.94%
BB% (unintentional) /PA	8.82%	÷1.000	×0.620	—	×0.945	5.17%
HBP% /PA	2.94%	—	×0.720	—	×0.945	2.00%
Singles /BIP	40.00%	÷1.000	×0.820	—	×0.945	31.00%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.945	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.945	0.00%

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 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .351 → .265; ISO .000 → .000; BABIP .385 → .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).

2017 AASpringfield Cardinals · 238 PAwOBA .341 → .288 (−53)K% 10.5% → 12.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.50%	÷0.990	×1.220	—	—	12.94%
BB% (unintentional) /PA	11.34%	÷1.048	×0.700	—	×1.012	7.67%
HBP% /PA	0.84%	—	×0.870	—	×1.012	0.74%
Singles /BIP	25.82%	÷0.992	×0.920	×0.975	×1.012	23.63%
Doubles /BIP	6.59%	÷1.009	×0.840	×0.975	×1.012	5.42%
Triples /BIP	0.00%	÷1.093	×0.940	×0.975	×1.012	0.00%
Home runs /BIP	1.10%	÷1.315	×0.800	—	×1.012	0.68%

Factors used: league row TL. Park (home-season share, regressed): HR 163, 1B 98, 2B 102, 3B 119, K 98, BB 110 — 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 ×0.975.

Result: wOBA .341 → .288; ISO .087 → .067; BABIP .324 → .289. 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+Stockton Ports · 325 PAwOBA .333 → .285 (−48)K% 11.4% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.38%	÷1.035	×1.340	—	—	14.74%
BB% (unintentional) /PA	7.38%	÷1.065	×0.710	—	×0.998	4.91%
HBP% /PA	2.15%	—	×0.790	—	×0.998	1.70%
Singles /BIP	23.90%	÷0.978	×0.910	×0.968	×0.998	21.50%
Doubles /BIP	5.98%	÷0.939	×0.820	×0.968	×0.998	5.04%
Triples /BIP	0.00%	÷0.990	×0.760	×0.968	×0.998	0.00%
Home runs /BIP	2.79%	÷1.066	×0.920	—	×0.998	2.40%

Factors used: league row CAL. Park (home-season share, regressed): HR 113, 1B 96, 2B 88, 3B 98, K 107, BB 113 — 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 ×0.968.

Result: wOBA .333 → .285; ISO .125 → .109; BABIP .305 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .