Bijan Rademacher

PosRF

B/TL/L

Born1991-06-15

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2017	26	AAACHC	329	.294/.376/.436	7	3	94	—	.260/.321/.377
2018	27	AAACHC	387	.251/.328/.310	2	2	42	—	.210/.260/.258
2019	28	INTLTomateros de …	71	.262/.314/.323	1	1	81	—

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)
2012	21	A	Peoria Chiefs	—	135	122	27	7	1	0	10	26	0	2	1	221	280	295	575	74	281	19	7	258	30	—	—	—	—	—	—
2013	22	A+	Daytona Cubs	—	160	145	40	7	3	2	14	24	0	3	0	276	340	407	747	131	317	15	9	332	78	—	—	—	—	—	—
2013	22	A	Kane County Cougars	—	211	185	58	9	0	2	20	25	2	5	3	314	386	395	781	81	348	12	9	349	80	—	—	—	—	—	—
2014	23	A+	Daytona Cubs	—	438	384	108	22	6	10	42	87	9	4	8	281	366	448	813	167	338	20	10	361	83	—	—	—	—	—	—
2014	23	INTL	Mesa Solar Sox	—	47	40	14	2	1	1	5	3	0	4	0	350	422	525	947	175	342	6	11	400	157	—	—	—	—	—	—
2015	24	AA	Tennessee Smokies	—	433	357	93	19	4	4	67	60	2	7	4	261	380	370	750	109	302	14	15	340	80	—	—	—	—	—	—
2016	25	AAA	Iowa Cubs	—	81	70	20	5	0	1	7	14	1	0	0	286	359	400	759	114	333	17	9	331	82	—	—	—	—	—	—
2016	25	AA	Tennessee Smokies	—	294	256	80	17	0	9	35	49	1	0	0	312	397	484	882	172	355	17	12	390	110	—	—	—	—	—	—
2017	26	AAA	Iowa Cubs	—	329	289	85	16	2	7	36	64	2	3	2	294	376	436	812	142	356	19	11	362	94	—	—	—	—	—	—
2018	27	AAA	Iowa Cubs	—	387	342	86	14	0	2	37	67	2	2	2	251	328	310	638	58	304	17	10	291	42	—	—	—	—	—	—
2019	28	INTL	Tomateros de Culiacan	—	71	65	17	1	0	1	5	14	0	1	1	262	314	323	637	62	314	20	7	288	81	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	21	A MLE	Peoria Chiefs	—	135	125	25	6	1	0	7	35	0	2	1	200	242	264	506	64	261	26	5	212	30	—	—	—	—	—	—
2013	22	A+ MLE	Daytona Cubs	—	160	149	37	6	3	2	10	32	0	3	0	248	296	369	665	121	299	20	6	284	78	—	—	—	—	—	—
2013	22	A MLE	Kane County Cougars	—	211	192	51	8	0	2	13	35	2	5	3	266	319	339	657	73	301	17	6	287	80	—	—	—	—	—	—
2014	23	A+ MLE	Daytona Cubs	—	438	396	91	19	4	9	30	129	9	4	8	230	299	366	665	136	311	29	7	291	83	—	—	—	—	—	—
2015	24	AA MLE	Tennessee Smokies	—	433	377	87	18	4	3	47	76	2	7	4	231	319	324	643	93	274	18	11	287	80	—	—	—	—	—	—
2016	25	AAA MLE	Iowa Cubs	—	81	72	18	4	0	1	5	17	1	0	0	250	308	347	655	97	294	21	6	289	82	—	—	—	—	—	—
2016	25	AA MLE	Tennessee Smokies	—	294	267	74	17	0	7	24	60	1	0	0	277	339	419	759	142	331	20	8	331	110	—	—	—	—	—	—
2017	26	AAA MLE	Iowa Cubs	—	329	300	78	13	2	6	25	76	2	3	2	260	321	377	698	117	325	23	8	307	94	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	387	357	75	11	0	2	22	87	2	2	2	210	260	258	518	48	262	22	6	230	42	—	—	—	—	—	—
2012	21	A MLE	Peoria Chiefs	—	135	125	25	6	1	0	7	35	0	2	1	200	242	264	506	64	278	26	5	212	30	—	—	—	—	—	—
2012	21	A RAW	Peoria Chiefs	—	135	122	27	7	1	0	10	26	0	2	1	221	280	295	575	74	281	19	7	258	30	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	371	341	87	14	3	3	23	67	2	8	3	255	306	340	646	85	305	18	6	286	80	—	—	—	—	—	—
2013	22	A RAW	2 teams	—	371	330	98	16	3	4	34	49	2	8	3	297	366	400	766	103	335	13	9	342	80	—	—	—	—	—	—
2014	23	A+ MLE	2 teams	—	485	438	101	21	5	10	33	143	9	8	8	231	298	370	668	139	314	29	7	291	83	—	—	—	—	—	—
2014	23	A+ RAW	2 teams	—	485	424	122	24	7	11	47	90	9	8	8	288	371	455	826	167	338	19	10	365	83	—	—	—	—	—	—
2015	24	AA MLE	Tennessee Smokies	—	433	377	87	18	4	3	47	76	2	7	4	231	319	324	643	93	280	18	11	287	80	—	—	—	—	—	—
2015	24	AA RAW	Tennessee Smokies	—	433	357	93	19	4	4	67	60	2	7	4	261	380	370	750	109	302	14	15	340	80	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	375	340	93	22	0	8	28	78	2	0	0	274	332	409	741	135	329	21	7	322	104	—	—	—	—	—	—
2016	25	AA RAW	2 teams	—	375	326	100	22	0	10	42	63	2	0	0	307	389	466	855	160	350	17	11	377	104	—	—	—	—	—	—
2017	26	AAA MLE	Iowa Cubs	—	329	300	78	13	2	6	25	76	2	3	2	260	321	377	698	117	329	23	8	307	94	—	—	—	—	—	—
2017	26	AAA RAW	Iowa Cubs	—	329	289	85	16	2	7	36	64	2	3	2	294	376	436	812	142	356	19	11	362	94	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	387	357	75	11	0	2	22	87	2	2	2	210	260	258	518	48	269	22	6	230	42	—	—	—	—	—	—
2018	27	AAA RAW	Iowa Cubs	—	387	342	86	14	0	2	37	67	2	2	2	251	328	310	638	58	304	17	10	291	42	—	—	—	—	—	—
2019	28	INTL MLE	Tomateros de Culiacan	—	71	65	17	1	0	1	5	14	0	1	1	262	314	323	637	62	314	20	7	—	—	—	—	—	—	—	—
2019	28	INTL RAW	Tomateros de Culiacan	—	71	65	17	1	0	1	5	14	0	1	1	262	314	323	637	62	314	20	7	288	81	—	—	—	—	—	—
2012	21	A MLE	Peoria Chiefs	—	135	127	25	6	1	0	7	35	0	2	1	197	242	260	502	63	261	26	5	212	30	—	—	—	—	—	—
2013	22	A MLE	2 teams	—	371	343	87	14	3	3	23	67	2	8	3	254	306	338	644	85	300	18	6	286	80	—	—	—	—	—	—
2014	23	A+ MLE	2 teams	—	485	440	101	21	5	10	33	143	9	8	8	230	298	368	666	139	311	29	7	291	83	—	—	—	—	—	—
2015	24	AA MLE	Tennessee Smokies	—	433	381	87	18	4	3	47	76	2	7	4	228	319	320	639	92	274	18	11	287	80	—	—	—	—	—	—
2016	25	AA MLE	2 teams	—	375	342	93	22	0	8	28	78	2	0	0	272	332	406	739	135	323	21	7	322	104	—	—	—	—	—	—
2017	26	AAA MLE	Iowa Cubs	—	329	299	78	13	2	6	25	76	2	3	2	261	321	378	699	117	325	23	8	307	94	—	—	—	—	—	—
2018	27	AAA MLE	Iowa Cubs	—	387	360	75	11	0	2	22	87	2	2	2	208	260	256	515	47	262	22	6	230	42	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2586	2343	563	106	15	33	190	576	19	31	21	240	303	341	643	100	302	22	7	275	72	-86	-2	+0	-28	+56	-6.1
/ 162G	—	MLE		—	650	589	142	27	4	8	48	145	5	8	5	241	304	341	645	100	304	22	7	275	72	-22	-0	+0	-7	+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.

2018 AAAIowa Cubs · 387 PAwOBA .284 → .230 (−54)K% 17.3% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.31%	÷0.993	×1.290	—	—	22.49%
BB% (unintentional) /PA	9.04%	÷1.116	×0.710	—	×1.003	5.77%
HBP% /PA	0.52%	—	×0.980	—	×1.003	0.51%
Singles /BIP	25.45%	÷1.033	×0.900	×1.012	×1.003	22.49%
Doubles /BIP	5.09%	÷1.091	×0.810	×1.012	×1.003	3.83%
Triples /BIP	0.00%	÷1.024	×0.810	×1.012	×1.003	0.00%
Home runs /BIP	0.73%	÷0.919	×0.780	—	×1.003	0.62%

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 ×1.012.

Result: wOBA .284 → .230; ISO .058 → .046; BABIP .304 → .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).

2017 AAAIowa Cubs · 329 PAwOBA .352 → .307 (−45)K% 19.5% → 23.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.45%	÷1.083	×1.290	—	—	23.17%
BB% (unintentional) /PA	10.33%	÷0.965	×0.710	—	×1.018	7.74%
HBP% /PA	0.61%	—	×0.980	—	×1.018	0.61%
Singles /BIP	26.67%	÷0.991	×0.900	×1.027	×1.018	25.31%
Doubles /BIP	7.11%	÷1.056	×0.810	×1.027	×1.018	5.70%
Triples /BIP	0.89%	÷1.042	×0.810	×1.027	×1.018	0.72%
Home runs /BIP	3.11%	÷0.899	×0.780	—	×1.018	2.75%

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 ×1.027.

Result: wOBA .352 → .307; ISO .142 → .120; BABIP .356 → .325. 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 · 294 PAwOBA .381 → .331 (−50)K% 16.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.992	×1.220	—	—	20.51%
BB% (unintentional) /PA	11.56%	÷0.982	×0.680	—	×0.998	7.99%
HBP% /PA	0.34%	—	×0.840	—	×0.998	0.29%
Singles /BIP	26.09%	÷1.013	×0.920	×1.017	×0.998	24.05%
Doubles /BIP	8.21%	÷0.918	×0.910	×1.017	×0.998	8.26%
Triples /BIP	0.00%	÷0.900	×0.880	×1.017	×0.998	0.00%
Home runs /BIP	4.35%	÷1.059	×0.800	—	×0.998	3.28%

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 ×1.017.

Result: wOBA .381 → .331; ISO .172 → .148; BABIP .355 → .331. 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 AAAIowa Cubs · 81 PAwOBA .330 → .289 (−42)K% 17.3% → 21.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.28%	÷1.037	×1.290	—	—	21.50%
BB% (unintentional) /PA	8.64%	÷1.034	×0.710	—	×1.033	6.13%
HBP% /PA	1.23%	—	×0.980	—	×1.033	1.25%
Singles /BIP	25.00%	÷1.006	×0.900	×0.960	×1.033	22.17%
Doubles /BIP	8.93%	÷0.927	×0.810	×0.960	×1.033	7.73%
Triples /BIP	0.00%	÷0.945	×0.810	×0.960	×1.033	0.00%
Home runs /BIP	1.79%	÷0.890	×0.780	—	×1.033	1.62%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — 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 ×0.960.

Result: wOBA .330 → .289; ISO .114 → .104; BABIP .333 → .294. 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 · 433 PAwOBA .333 → .287 (−45)K% 13.9% → 17.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.86%	÷0.967	×1.220	—	—	17.48%
BB% (unintentional) /PA	15.24%	÷0.959	×0.680	—	×1.012	10.94%
HBP% /PA	0.46%	—	×0.840	—	×1.012	0.39%
Singles /BIP	22.22%	÷1.026	×0.920	×1.005	×1.012	20.27%
Doubles /BIP	6.40%	÷0.998	×0.910	×1.005	×1.012	5.93%
Triples /BIP	1.35%	÷1.058	×0.880	×1.005	×1.012	1.14%
Home runs /BIP	1.35%	÷1.048	×0.800	—	×1.012	1.04%

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 ×1.005.

Result: wOBA .333 → .287; ISO .109 → .098; BABIP .302 → .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).

2014 A+Daytona Cubs · 438 PAwOBA .354 → .291 (−62)K% 19.9% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.86%	÷0.959	×1.420	—	—	29.42%
BB% (unintentional) /PA	9.59%	÷1.044	×0.750	—	×0.998	6.88%
HBP% /PA	2.05%	—	×0.930	—	×0.998	1.91%
Singles /BIP	23.57%	÷0.995	×0.920	×1.001	×0.998	21.76%
Doubles /BIP	7.41%	÷1.006	×0.960	×1.001	×0.998	7.06%
Triples /BIP	2.02%	÷0.986	×0.810	×1.001	×0.998	1.66%
Home runs /BIP	3.37%	÷0.930	×0.880	—	×0.998	3.18%

Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 99, 2B 101, 3B 97, K 92, BB 109 — 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 ×1.001.

Result: wOBA .354 → .291; ISO .167 → .140; BABIP .338 → .311. 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 AKane County Cougars · 211 PAwOBA .345 → .287 (−58)K% 11.8% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.85%	÷0.980	×1.360	—	—	16.44%
BB% (unintentional) /PA	9.48%	÷1.047	×0.690	—	—	6.24%
HBP% /PA	0.95%	—	×0.780	—	—	0.74%
Singles /BIP	29.38%	÷1.091	×0.920	×1.030	—	25.50%
Doubles /BIP	5.62%	÷0.990	×0.830	×1.030	—	4.86%
Triples /BIP	0.00%	÷1.105	×0.910	×1.030	—	0.00%
Home runs /BIP	1.25%	÷0.913	×0.800	—	—	1.10%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 118, 2B 98, 3B 121, K 96, BB 109 — 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 ×1.030.

Result: wOBA .345 → .287; ISO .081 → .071; BABIP .348 → .301. 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+Daytona Cubs · 160 PAwOBA .325 → .284 (−41)K% 15.0% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.00%	÷1.066	×1.420	—	—	19.99%
BB% (unintentional) /PA	8.75%	÷1.032	×0.750	—	×1.012	6.43%
HBP% /PA	0.00%	—	×0.930	—	×1.012	0.00%
Singles /BIP	23.14%	÷1.015	×0.920	×1.047	×1.012	22.23%
Doubles /BIP	5.79%	÷1.132	×0.960	×1.047	×1.012	5.20%
Triples /BIP	2.48%	÷0.900	×0.810	×1.047	×1.012	2.36%
Home runs /BIP	1.65%	÷1.144	×0.880	—	×1.012	1.29%

Factors used: league row FSL. Park (home-season share, regressed): HR 129, 1B 103, 2B 126, 3B 80, K 113, BB 106 — 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 ×1.047.

Result: wOBA .325 → .284; ISO .131 → .112; BABIP .317 → .299. 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 — .