Jacob Hannemann

PosCF

B/TL/L

Born1991-04-29

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	AAA/AA2 orgs	463	.240/.315/.372	6	29	53	—	.200/.260/.305
2017	26	MLBSEA	20	.150/.150/.300	1	0	20	0.0
2018	27	AAACHC	413	.238/.298/.340	6	22	35	—	.190/.234/.266
2019	28	AAACHC	136	.248/.338/.453	5	8	70	—	.198/.271/.355
2020	29	No MLB games played
2021	30	No MLB games played
2022	31	No MLB games played
2023	32	No MLB games played
2024	33	No MLB games played
2025	34	No MLB games played
2026	35	No MLB games played

Last 3 seasons WAR 0.0

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	23	A+	Daytona Cubs	—	159	145	35	9	0	2	11	34	1	5	3	241	299	345	644	103	303	21	7	288	45	—	—	—	—	—	—
2014	23	A	Kane County Cougars	—	386	342	85	14	5	6	31	77	4	32	4	249	318	371	690	123	302	20	8	304	51	—	—	—	—	—	—
2014	23	INTL	Mesa Solar Sox	—	67	61	17	4	2	0	5	12	0	0	2	279	333	410	743	131	340	18	7	326	106	—	—	—	—	—	—
2015	24	AA	Tennessee Smokies	—	485	434	101	20	9	6	32	113	5	17	1	233	293	362	655	129	298	23	7	285	46	—	—	—	—	—	—
2015	24	A+	Myrtle Beach Pelicans	—	69	61	20	4	0	0	6	15	0	7	1	328	382	393	776	66	435	22	9	345	77	—	—	—	—	—	—
2016	25	AA	Tennessee Smokies	—	327	291	72	14	4	10	25	55	9	26	8	247	326	426	752	179	274	17	8	334	72	—	—	—	—	—	—
2016	25	INTL	Cangrejeros de Santurce	—	90	75	9	1	1	2	13	25	2	6	3	120	267	240	507	120	146	28	14	246	53	—	—	—	—	—	—
2017	26	MLB	Seattle Mariners	—	20	20	3	0	0	1	0	4	0	0	1	150	150	300	450	150	133	20	0	195	20	-2	-0	+1	+2	+0	0.0
2017	26	AAA	Iowa Cubs	—	322	287	76	23	1	5	24	69	3	23	3	265	328	404	732	139	327	21	7	320	66	—	—	—	—	—	—
2017	26	AA	Tennessee Smokies	—	141	122	22	9	1	1	14	44	4	6	3	180	286	295	581	115	273	31	10	269	24	—	—	—	—	—	—
2018	27	AAA	Iowa Cubs	—	413	374	89	14	3	6	27	84	5	22	6	238	298	340	638	102	290	20	7	285	35	—	—	—	—	—	—
2019	28	AAA	Iowa Cubs	—	136	117	29	7	1	5	15	22	1	8	3	248	338	453	791	205	261	16	11	343	70	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	20	20	3	0	0	1	0	4	0	0	1	150	150	300	450	150	133	20	0	195	18	-2	-0	+1	+2	+0	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	23	A+ MLE	Daytona Cubs	—	159	148	30	8	0	2	8	50	1	5	3	203	248	297	546	95	289	31	5	235	45	—	—	—	—	—	—
2014	23	A MLE	Kane County Cougars	—	386	354	74	13	4	4	19	110	4	32	4	209	257	302	560	93	278	28	5	244	51	—	—	—	—	—	—
2015	24	AA MLE	Tennessee Smokies	—	485	443	89	18	7	5	23	143	5	17	1	201	248	307	555	106	267	29	5	236	46	—	—	—	—	—	—
2015	24	A+ MLE	Myrtle Beach Pelicans	—	69	64	18	3	0	0	4	21	0	7	1	281	324	328	652	47	401	30	6	282	77	—	—	—	—	—	—
2016	25	AA MLE	Tennessee Smokies	—	327	299	64	14	4	7	17	68	9	26	8	214	277	358	635	144	250	21	5	275	72	—	—	—	—	—	—
2017	26	MLB MLE	Seattle Mariners	—	20	20	3	0	0	1	0	4	0	0	1	150	150	300	450	150	133	20	0	198	20	-2	-0	+1	+2	+0	0.0
2017	26	AAA MLE	Iowa Cubs	—	322	293	66	18	1	4	18	82	3	23	3	225	277	334	612	109	281	25	6	266	66	—	—	—	—	—	—
2017	26	AA MLE	Tennessee Smokies	—	141	127	18	7	1	1	9	55	4	6	3	142	221	236	458	94	233	39	6	203	24	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	413	384	73	10	2	5	17	109	5	22	6	190	234	266	500	76	244	26	4	220	35	—	—	—	—	—	—
2019	28	AAA MLE	Iowa Cubs	—	136	121	24	5	1	4	11	28	1	8	3	198	271	355	626	157	216	21	8	271	70	—	—	—	—	—	—
2014	23	A MLE	3 teams	—	612	564	117	23	4	7	31	180	5	37	9	207	255	300	555	92	289	29	5	241	50	—	—	—	—	—	—
2014	23	A RAW	3 teams	—	612	548	137	27	7	8	47	123	5	37	9	250	315	369	684	119	306	20	8	302	50	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	554	507	106	21	7	5	27	163	5	24	2	209	256	308	564	99	294	29	5	242	50	—	—	—	—	—	—
2015	24	AA RAW	2 teams	—	554	495	121	24	9	6	38	128	5	24	2	244	304	366	670	121	315	23	7	293	50	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	417	382	82	17	5	10	22	86	11	32	11	215	277	364	641	149	252	21	5	275	72	—	—	—	—	—	—
2016	25	AA RAW	2 teams	—	417	366	81	15	5	12	38	80	11	32	11	221	313	388	701	167	252	19	9	315	72	—	—	—	—	—	—
2017	26	AAA MLE	3 teams	—	483	440	86	25	1	6	27	141	7	29	7	195	253	298	551	102	269	29	6	245	52	—	—	—	—	—	—
2017	26	AAA RAW	3 teams	—	483	429	101	32	2	7	38	117	7	29	7	235	308	368	676	133	304	24	8	300	52	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	413	384	73	10	2	5	17	109	5	22	6	190	234	266	500	76	250	26	4	220	35	—	—	—	—	—	—
2018	27	AAA RAW	Iowa Cubs	—	413	374	89	14	3	6	27	84	5	22	6	238	298	340	638	102	290	20	7	285	35	—	—	—	—	—	—
2019	28	AAA MLE	Iowa Cubs	—	136	121	24	5	1	4	11	28	1	8	3	198	271	355	626	157	220	21	8	271	70	—	—	—	—	—	—
2019	28	AAA RAW	Iowa Cubs	—	136	117	29	7	1	5	15	22	1	8	3	248	338	453	791	205	261	16	11	343	70	—	—	—	—	—	—
2014	23	A MLE	3 teams	—	612	571	117	23	4	7	31	180	5	37	9	205	255	296	551	91	281	29	5	241	50	—	—	—	—	—	—
2015	24	AA MLE	2 teams	—	554	517	106	21	7	5	27	163	5	24	2	205	256	302	558	97	284	29	5	242	50	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	417	381	82	17	5	10	22	86	11	32	11	215	277	365	642	150	250	21	5	275	72	—	—	—	—	—	—
2017	26	AAA MLE	3 teams	—	483	446	86	25	1	6	27	141	7	29	7	193	253	294	547	101	261	29	6	245	52	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	413	388	73	10	2	5	17	109	5	22	6	188	234	263	497	75	244	26	4	220	35	—	—	—	—	—	—
2019	28	AAA MLE	Iowa Cubs	—	136	123	24	5	1	4	11	28	1	8	3	195	271	350	620	154	216	21	8	271	70	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	20	20	3	0	0	1	0	4	0	0	1	150	150	300	450	150	133	20	0	195	52	-2	-0	+1	+2	+0	0.0
/ 162G	—	A+C		—	650	650	97	0	0	32	0	130	0	0	32	149	149	297	446	148	133	20	0	195	52	-64	-13	+18	+56	+14	1.2
Career	—	MLE		—	2615	2398	488	101	20	37	135	707	34	152	38	204	256	309	565	105	270	27	5	246	52	-2	-0	+1	+2	+0	0.0
/ 162G	—	MLE		—	650	596	121	25	5	9	34	176	8	38	9	203	255	307	563	104	270	27	5	246	52	-64	-13	+18	+56	+14	1.2

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 AAAIowa Cubs · 136 PAwOBA .339 → .271 (−69)K% 16.2% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.18%	÷1.025	×1.290	—	—	20.36%
BB% (unintentional) /PA	11.03%	÷0.968	×0.710	—	×0.992	8.02%
HBP% /PA	0.74%	—	×0.980	—	×0.992	0.71%
Singles /BIP	16.84%	÷0.993	×0.900	×0.973	×0.992	14.73%
Doubles /BIP	7.37%	÷1.014	×0.810	×0.973	×0.992	5.68%
Triples /BIP	1.05%	÷1.029	×0.810	×0.973	×0.992	0.80%
Home runs /BIP	5.26%	÷1.050	×0.780	—	×0.992	3.88%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — 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 ×0.973.

Result: wOBA .339 → .271; ISO .205 → .156; BABIP .261 → .216. 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 AAAIowa Cubs · 413 PAwOBA .279 → .220 (−59)K% 20.3% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.34%	÷0.993	×1.290	—	—	26.42%
BB% (unintentional) /PA	6.54%	÷1.116	×0.710	—	×1.003	4.17%
HBP% /PA	1.21%	—	×0.980	—	×1.003	1.19%
Singles /BIP	22.76%	÷1.033	×0.900	×0.993	×1.003	19.74%
Doubles /BIP	4.83%	÷1.091	×0.810	×0.993	×1.003	3.57%
Triples /BIP	1.03%	÷1.024	×0.810	×0.993	×1.003	0.81%
Home runs /BIP	2.07%	÷0.919	×0.780	—	×1.003	1.76%

Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — 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 ×0.993.

Result: wOBA .279 → .220; ISO .102 → .079; BABIP .290 → .244. 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 AAAIowa Cubs · 322 PAwOBA .315 → .266 (−50)K% 21.4% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷1.083	×1.290	—	—	25.53%
BB% (unintentional) /PA	7.45%	÷0.965	×0.710	—	×1.018	5.58%
HBP% /PA	0.93%	—	×0.980	—	×1.018	0.93%
Singles /BIP	21.56%	÷0.991	×0.900	×0.984	×1.018	19.62%
Doubles /BIP	10.55%	÷1.056	×0.810	×0.984	×1.018	8.11%
Triples /BIP	0.46%	÷1.042	×0.810	×0.984	×1.018	0.36%
Home runs /BIP	2.29%	÷0.899	×0.780	—	×1.018	2.03%

Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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 ×0.984.

Result: wOBA .315 → .266; ISO .139 → .114; BABIP .327 → .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).

2017 AATennessee Smokies · 141 PAwOBA .259 → .203 (−56)K% 31.2% → 38.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.21%	÷0.981	×1.220	—	—	38.81%
BB% (unintentional) /PA	9.22%	÷0.976	×0.680	—	×0.988	6.35%
HBP% /PA	2.84%	—	×0.840	—	×0.988	2.35%
Singles /BIP	14.10%	÷1.016	×0.920	×0.959	×0.988	12.11%
Doubles /BIP	11.54%	÷1.000	×0.910	×0.959	×0.988	9.95%
Triples /BIP	1.28%	÷1.150	×0.880	×0.959	×0.988	0.93%
Home runs /BIP	1.28%	÷0.882	×0.800	—	×0.988	1.15%

Factors used: league row SL. Park (home-season share, regressed): HR 76, 1B 103, 2B 100, 3B 130, K 96, BB 95 — 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 ×0.959.

Result: wOBA .259 → .203; ISO .115 → .093; BABIP .273 → .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).

2016 AATennessee Smokies · 327 PAwOBA .325 → .275 (−50)K% 16.8% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.82%	÷0.992	×1.220	—	—	20.70%
BB% (unintentional) /PA	7.65%	÷0.982	×0.680	—	×0.998	5.29%
HBP% /PA	2.75%	—	×0.840	—	×0.998	2.31%
Singles /BIP	18.64%	÷1.013	×0.920	×0.991	×0.998	16.75%
Doubles /BIP	5.93%	÷0.918	×0.910	×0.991	×0.998	5.82%
Triples /BIP	1.69%	÷0.900	×0.880	×0.991	×0.998	1.64%
Home runs /BIP	4.24%	÷1.059	×0.800	—	×0.998	3.19%

Factors used: league row SL. Park (home-season share, regressed): HR 112, 1B 103, 2B 84, 3B 80, K 98, BB 96 — 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 ×0.991.

Result: wOBA .325 → .275; ISO .179 → .151; BABIP .274 → .250. 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 AATennessee Smokies · 485 PAwOBA .280 → .236 (−44)K% 23.3% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.30%	÷0.967	×1.220	—	—	29.40%
BB% (unintentional) /PA	6.60%	÷0.959	×0.680	—	×1.012	4.73%
HBP% /PA	1.03%	—	×0.840	—	×1.012	0.88%
Singles /BIP	20.56%	÷1.026	×0.920	×0.996	×1.012	18.59%
Doubles /BIP	6.23%	÷0.998	×0.910	×0.996	×1.012	5.73%
Triples /BIP	2.80%	÷1.058	×0.880	×0.996	×1.012	2.35%
Home runs /BIP	1.87%	÷1.048	×0.800	—	×1.012	1.44%

Factors used: league row SL. Park (home-season share, regressed): HR 110, 1B 105, 2B 100, 3B 112, K 93, BB 92 — 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 ×0.996.

Result: wOBA .280 → .236; ISO .129 → .107; BABIP .298 → .267. 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 A+Myrtle Beach Pelicans · 69 PAwOBA .336 → .282 (−54)K% 21.7% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.74%	÷1.025	×1.420	—	—	30.11%
BB% (unintentional) /PA	8.70%	÷0.960	×0.630	—	×0.988	5.64%
HBP% /PA	0.00%	—	×0.860	—	×0.988	0.00%
Singles /BIP	34.78%	÷0.977	×0.940	—	×0.988	33.07%
Doubles /BIP	8.70%	÷1.015	×0.830	—	×0.988	7.03%
Triples /BIP	0.00%	÷1.138	×0.800	—	×0.988	0.00%
Home runs /BIP	0.00%	÷0.888	×0.900	—	×0.988	0.00%

Factors used: league row CAR. Park (home-season share, regressed): HR 78, 1B 95, 2B 103, 3B 128, K 105, BB 92 — 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).

Result: wOBA .336 → .282; ISO .066 → .051; BABIP .435 → .401. 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 AKane County Cougars · 386 PAwOBA .298 → .244 (−53)K% 19.9% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.95%	÷0.952	×1.360	—	—	28.48%
BB% (unintentional) /PA	7.77%	÷1.058	×0.690	—	×0.990	5.02%
HBP% /PA	1.04%	—	×0.780	—	×0.990	0.80%
Singles /BIP	22.64%	÷1.029	×0.920	×1.050	×0.990	21.05%
Doubles /BIP	5.28%	÷0.914	×0.830	×1.050	×0.990	4.99%
Triples /BIP	1.89%	÷1.144	×0.910	×1.050	×0.990	1.56%
Home runs /BIP	2.26%	÷1.029	×0.800	—	×0.990	1.74%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 106, 2B 83, 3B 129, K 90, BB 112 — 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 ×1.050.

Result: wOBA .298 → .244; ISO .123 → .099; BABIP .302 → .278. 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 — .