Jake Noll

Pos2B

B/TR/R

Born1994-03-08

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2021	27	AAAWSH	474	.300/.349/.494	17	4	84	—	.247/.285/.386
2022	28	AAAWSH	423	.256/.310/.415	10	6	63	—	.217/.262/.336
2023	29	AAAWSH	213	.247/.308/.418	6	0	48	—	.192/.242/.303

Contract

No contract data on file.

Skills · percentileMiLB Statcast 2023 AAA

K%67

Whiff%58

Z-Con%47

Max EV44

BB%20

Speed17

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)
2016	22	A	Hagerstown Suns	—	126	116	30	4	1	3	7	16	2	2	0	259	312	388	700	129	276	13	6	312	61	—	—	—	—	—	—
2016	22	ROK	GCL Nationals	—	34	25	6	1	0	1	6	2	1	0	0	240	406	400	806	160	217	6	18	350	72	—	—	—	—	—	—
2017	23	A+	Potomac Nationals	—	65	58	11	2	1	1	5	12	0	0	1	190	254	310	564	121	217	18	8	247	6	—	—	—	—	—	—
2017	23	A	Hagerstown Suns	—	438	400	108	19	2	16	20	64	8	12	4	270	318	448	765	177	280	15	5	331	66	—	—	—	—	—	—
2018	24	AA	Harrisburg Senators	—	260	237	66	8	1	3	14	39	5	4	1	278	332	359	691	80	318	15	5	309	70	—	—	—	—	—	—
2018	24	A+	Potomac Nationals	—	289	265	80	12	3	8	19	51	3	3	1	302	355	460	816	158	346	18	7	360	78	—	—	—	—	—	—
2018	24	INTL	Salt River Rafters	—	55	49	13	2	0	2	2	10	2	1	0	265	321	429	749	163	282	18	4	323	104	—	—	—	—	—	—
2019	25	AAA	Fresno Grizzlies	—	489	456	130	24	0	11	26	89	4	5	2	285	329	410	739	125	331	18	5	329	65	—	—	—	—	—	—
2020	26	MLB	Washington Nationals	—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	342	117	+0	+0	-1	-0	+0	-0.0
2021	27	AAA	Rochester Red Wings	—	474	437	131	28	3	17	29	74	4	4	1	300	349	494	843	195	326	16	6	368	84	—	—	—	—	—	—
2022	28	AAA	Rochester Red Wings	—	423	390	100	26	3	10	20	77	10	6	0	256	310	415	725	159	294	18	5	320	63	—	—	—	—	—	—
2023	29	AAA	Rochester Red Wings	—	213	194	48	15	0	6	15	42	2	0	0	247	308	418	726	170	284	20	7	320	48	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	342	117	+0	+0	-1	-0	+0	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	A MLE	Hagerstown Suns	—	126	118	27	3	1	2	5	21	2	2	0	229	272	322	594	93	258	17	4	259	61	—	—	—	—	—	—
2016	22	ROK MLE	GCL Nationals	—	34	27	6	1	0	1	4	3	1	0	0	222	344	370	714	148	169	9	12	275	72	—	—	—	—	—	—
2017	23	A+ MLE	Potomac Nationals	—	65	60	9	1	1	1	3	18	0	0	1	150	190	250	440	100	176	28	5	177	6	—	—	—	—	—	—
2017	23	A MLE	Hagerstown Suns	—	438	408	91	13	2	14	12	85	8	12	4	223	259	368	627	145	233	19	3	266	66	—	—	—	—	—	—
2018	24	AA MLE	Harrisburg Senators	—	260	243	63	7	1	3	8	48	5	4	1	259	297	333	630	74	297	18	3	271	70	—	—	—	—	—	—
2018	24	A+ MLE	Potomac Nationals	—	289	272	67	9	2	7	12	73	3	3	1	246	286	371	657	125	306	25	4	283	78	—	—	—	—	—	—
2019	25	AAA MLE	Fresno Grizzlies	—	489	463	109	18	0	9	19	120	4	5	2	235	272	333	604	97	296	25	4	265	65	—	—	—	—	—	—
2020	26	MLB MLE	Washington Nationals	—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	340	117	+0	+0	-1	-0	+0	-0.0
2021	27	AAA MLE	Rochester Red Wings	—	474	446	110	22	2	12	20	91	4	4	1	247	285	386	671	139	281	19	4	292	84	—	—	—	—	—	—
2022	28	AAA MLE	Rochester Red Wings	—	423	396	86	23	3	6	14	88	10	6	0	217	262	336	598	119	259	21	3	262	63	—	—	—	—	—	—
2023	29	AAA MLE	Rochester Red Wings	—	213	198	38	10	0	4	11	51	2	0	0	192	242	303	545	111	234	24	5	239	48	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	160	146	32	4	1	3	8	24	3	2	0	219	274	322	596	103	240	15	5	262	64	—	—	—	—	—	—
2016	22	A RAW	2 teams	—	160	141	36	5	1	4	13	18	3	2	0	255	331	390	721	135	264	11	8	320	64	—	—	—	—	—	—
2017	23	A MLE	2 teams	—	503	468	99	14	2	15	15	103	8	12	5	212	248	346	595	135	234	20	3	254	58	—	—	—	—	—	—
2017	23	A RAW	2 teams	—	503	458	119	21	3	17	25	76	8	12	5	260	310	430	740	170	273	15	5	320	58	—	—	—	—	—	—
2018	24	A+ MLE	3 teams	—	604	564	142	17	4	10	22	133	10	8	2	252	292	349	641	98	308	22	4	277	74	—	—	—	—	—	—
2018	24	A+ RAW	3 teams	—	604	551	159	22	4	13	35	100	10	8	2	289	342	414	756	125	328	17	6	335	74	—	—	—	—	—	—
2019	25	AAA MLE	Fresno Grizzlies	—	489	463	109	18	0	9	19	120	4	5	2	235	272	333	604	97	297	25	4	265	65	—	—	—	—	—	—
2019	25	AAA RAW	Fresno Grizzlies	—	489	456	130	24	0	11	26	89	4	5	2	285	329	410	739	125	331	18	5	329	65	—	—	—	—	—	—
2020	26	MLB MLE	Washington Nationals	—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	340	117	+0	+0	-1	-0	+0	-0.0
2020	26	MLB RAW	Washington Nationals	—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	342	117	+0	+0	-1	-0	+0	-0.0
2021	27	AAA MLE	Rochester Red Wings	—	474	446	110	22	2	12	20	91	4	4	1	247	285	386	671	139	282	19	4	292	84	—	—	—	—	—	—
2021	27	AAA RAW	Rochester Red Wings	—	474	437	131	28	3	17	29	74	4	4	1	300	349	494	843	195	326	16	6	368	84	—	—	—	—	—	—
2022	28	AAA MLE	Rochester Red Wings	—	423	396	86	23	3	6	14	88	10	6	0	217	262	336	598	119	262	21	3	262	63	—	—	—	—	—	—
2022	28	AAA RAW	Rochester Red Wings	—	423	390	100	26	3	10	20	77	10	6	0	256	310	415	725	159	294	18	5	320	63	—	—	—	—	—	—
2023	29	AAA MLE	Rochester Red Wings	—	213	198	38	10	0	4	11	51	2	0	0	192	242	303	545	111	234	24	5	239	48	—	—	—	—	—	—
2023	29	AAA RAW	Rochester Red Wings	—	213	194	48	15	0	6	15	42	2	0	0	247	308	418	726	170	284	20	7	320	48	—	—	—	—	—	—
2016	22	A MLE	2 teams	—	160	148	32	4	1	3	8	24	3	2	0	216	274	318	591	101	239	15	5	262	64	—	—	—	—	—	—
2017	23	A MLE	2 teams	—	503	475	99	14	2	15	15	103	8	12	5	208	248	341	590	133	226	20	3	254	58	—	—	—	—	—	—
2018	24	A+ MLE	3 teams	—	604	567	142	17	4	10	22	133	10	8	2	250	292	347	639	97	302	22	4	277	74	—	—	—	—	—	—
2019	25	AAA MLE	Fresno Grizzlies	—	489	463	109	18	0	9	19	120	4	5	2	235	272	333	604	97	296	25	4	265	65	—	—	—	—	—	—
2020	26	MLB MLE	Washington Nationals	—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	340	117	—	—	—	—	—	—
2021	27	AAA MLE	Rochester Red Wings	—	474	447	110	22	2	12	20	91	4	4	1	246	285	385	670	139	281	19	4	292	84	—	—	—	—	—	—
2022	28	AAA MLE	Rochester Red Wings	—	423	396	86	23	3	6	14	88	10	6	0	217	262	336	598	119	259	21	3	262	63	—	—	—	—	—	—
2023	29	AAA MLE	Rochester Red Wings	—	213	198	38	10	0	4	11	51	2	0	0	192	242	303	545	111	234	24	5	239	48	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	17	17	6	1	0	0	0	4	0	0	0	353	353	412	765	59	462	24	0	342	68	+0	+0	-1	-0	+0	-0.0
/ 162G	—	A+C		—	650	650	229	38	0	0	0	153	0	0	0	352	352	411	763	58	461	24	0	342	68	+13	+0	-30	-12	+14	-1.5
Career	—	MLE		—	2883	2698	622	109	12	59	109	614	41	37	10	231	271	345	617	115	274	21	4	268	68	+0	+0	-1	-0	+0	-0.0
/ 162G	—	MLE		—	650	608	141	25	3	13	25	138	9	8	2	232	273	347	620	115	276	21	4	268	68	+13	+0	-30	-12	+14	-1.5

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.

2023 AAARochester Red Wings · 213 PAwOBA .314 → .239 (−75)K% 19.7% → 24.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.72%	÷0.980	×1.200	—	—	24.14%
BB% (unintentional) /PA	7.04%	÷0.956	×0.690	—	×0.982	4.99%
HBP% /PA	0.94%	—	×0.940	—	×0.982	0.87%
Singles /BIP	17.76%	÷0.996	×0.930	×0.991	×0.982	16.15%
Doubles /BIP	9.87%	÷1.137	×0.830	×0.991	×0.982	7.01%
Triples /BIP	0.00%	÷1.150	×0.970	×0.991	×0.982	0.00%
Home runs /BIP	3.95%	÷1.058	×0.700	—	×0.982	2.57%

Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — 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 ×0.991.

Result: wOBA .314 → .239; ISO .170 → .113; BABIP .284 → .234. 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 AAARochester Red Wings · 423 PAwOBA .313 → .262 (−51)K% 18.2% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.20%	÷1.049	×1.200	—	—	20.83%
BB% (unintentional) /PA	4.49%	÷0.973	×0.690	—	×0.992	3.16%
HBP% /PA	2.36%	—	×0.940	—	×0.992	2.20%
Singles /BIP	19.49%	÷1.011	×0.930	×0.981	×0.992	17.45%
Doubles /BIP	8.31%	÷0.930	×0.830	×0.981	×0.992	7.21%
Triples /BIP	0.96%	÷0.913	×0.970	×0.981	×0.992	0.99%
Home runs /BIP	3.19%	÷1.084	×0.700	—	×0.992	2.05%

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 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 ×0.981.

Result: wOBA .313 → .262; ISO .159 → .123; BABIP .294 → .259. 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 AAARochester Red Wings · 474 PAwOBA .361 → .292 (−69)K% 15.6% → 19.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.61%	÷0.979	×1.200	—	—	19.13%
BB% (unintentional) /PA	6.12%	÷1.014	×0.690	—	×1.003	4.17%
HBP% /PA	0.84%	—	×0.940	—	×1.003	0.80%
Singles /BIP	22.87%	÷0.994	×0.930	×0.962	×1.003	20.63%
Doubles /BIP	7.71%	÷1.005	×0.830	×0.962	×1.003	6.15%
Triples /BIP	0.83%	÷1.150	×0.920	×0.962	×1.003	0.64%
Home runs /BIP	4.68%	÷0.968	×0.700	—	×1.003	3.40%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — 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 ×0.962.

Result: wOBA .361 → .292; ISO .195 → .145; BABIP .326 → .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).

2019 AAAFresno Grizzlies · 489 PAwOBA .322 → .265 (−57)K% 18.2% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.20%	÷0.953	×1.290	—	—	24.64%
BB% (unintentional) /PA	5.32%	÷0.990	×0.710	—	×1.033	3.94%
HBP% /PA	0.82%	—	×0.980	—	×1.033	0.83%
Singles /BIP	25.89%	÷0.959	×0.900	×0.950	×1.033	23.83%
Doubles /BIP	6.54%	÷0.976	×0.810	×0.950	×1.033	5.33%
Triples /BIP	0.00%	÷1.140	×0.810	×0.950	×1.033	0.00%
Home runs /BIP	3.00%	÷0.962	×0.780	—	×1.033	2.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 92, 2B 95, 3B 128, K 91, BB 98 — 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 .322 → .265; ISO .125 → .097; BABIP .331 → .296. 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+Potomac Nationals · 289 PAwOBA .352 → .283 (−69)K% 17.6% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.65%	÷0.998	×1.420	—	—	25.10%
BB% (unintentional) /PA	6.57%	÷1.013	×0.630	—	×0.988	4.04%
HBP% /PA	1.04%	—	×0.860	—	×0.988	0.88%
Singles /BIP	26.64%	÷0.992	×0.940	×0.976	×0.988	24.34%
Doubles /BIP	5.61%	÷1.020	×0.830	×0.976	×0.988	4.40%
Triples /BIP	1.40%	÷0.900	×0.800	×0.976	×0.988	1.20%
Home runs /BIP	3.74%	÷1.017	×0.900	—	×0.988	3.27%

Factors used: league row CAR. Park (home-season share, regressed): HR 103, 1B 98, 2B 104, 3B 80, K 100, BB 103 — 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 ×0.976.

Result: wOBA .352 → .283; ISO .158 → .127; BABIP .346 → .306. 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 AAHarrisburg Senators · 260 PAwOBA .302 → .271 (−31)K% 15.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷0.987	×1.220	—	—	18.54%
BB% (unintentional) /PA	4.62%	÷1.037	×0.700	—	×1.012	3.15%
HBP% /PA	1.92%	—	×0.850	—	×1.012	1.65%
Singles /BIP	27.27%	÷1.017	×0.970	×0.982	×1.012	25.87%
Doubles /BIP	4.04%	÷1.012	×0.860	×0.982	×1.012	3.41%
Triples /BIP	0.51%	÷1.070	×0.950	×0.982	×1.012	0.45%
Home runs /BIP	1.52%	÷0.925	×0.780	—	×1.012	1.29%

Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 103, 2B 102, 3B 114, K 97, BB 107 — 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 ×0.982.

Result: wOBA .302 → .271; ISO .080 → .069; BABIP .318 → .297. 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 AHagerstown Suns · 438 PAwOBA .328 → .266 (−62)K% 14.6% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.61%	÷1.009	×1.340	—	—	19.41%
BB% (unintentional) /PA	4.57%	÷1.101	×0.660	—	×0.990	2.71%
HBP% /PA	1.83%	—	×0.770	—	×0.990	1.39%
Singles /BIP	21.13%	÷0.986	×0.920	×0.952	×0.990	18.57%
Doubles /BIP	5.65%	÷1.156	×0.820	×0.952	×0.990	3.78%
Triples /BIP	0.60%	÷1.043	×0.940	×0.952	×0.990	0.51%
Home runs /BIP	4.76%	÷0.909	×0.820	—	×0.990	4.25%

Factors used: league row SAL. Park (home-season share, regressed): HR 82, 1B 97, 2B 131, 3B 109, K 102, BB 120 — 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 ×0.952.

Result: wOBA .328 → .266; ISO .177 → .147; BABIP .280 → .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).

2017 A+Potomac Nationals · 65 PAwOBA .245 → .177 (−68)K% 18.5% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.46%	÷0.963	×1.420	—	—	27.21%
BB% (unintentional) /PA	7.69%	÷0.982	×0.630	—	×0.998	4.92%
HBP% /PA	0.00%	—	×0.860	—	×0.998	0.00%
Singles /BIP	15.22%	÷1.050	×0.940	×0.950	×0.998	12.92%
Doubles /BIP	4.35%	÷1.012	×0.830	×0.950	×0.998	3.38%
Triples /BIP	2.17%	÷1.150	×0.800	×0.950	×0.998	1.43%
Home runs /BIP	2.17%	÷1.368	×0.900	—	×0.998	1.43%

Factors used: league row CAR. Park (home-season share, regressed): HR 174, 1B 110, 2B 102, 3B 130, K 93, BB 96 — 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 ×0.950.

Result: wOBA .245 → .177; ISO .121 → .080; BABIP .217 → .176. 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 — .