Todd Glaesmann

PosCF

B/TR/R

Born1990-10-24

Age (2027)36

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	24	AAA/AA/A+2 orgs	397	.278/.316/.540	19	5	79	—	.222/.253/.420
2016	25	AAA/AA2 orgs	383	.272/.314/.462	13	5	57	—	.212/.245/.347
2017	26	AAACHC	68	.175/.235/.238	1	1	3	—	.154/.191/.215

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)
2009	18	ROK	GCL Rays	—	18	18	5	1	0	0	0	3	0	1	0	278	278	333	611	56	333	17	0	272	17	—	—	—	—	—	—
2010	19	ROK	Princeton Rays	—	261	236	55	17	5	4	13	70	9	13	6	233	298	398	697	165	313	27	5	307	31	—	—	—	—	—	—
2011	20	A	Bowling Green Hot Rods	—	228	210	48	8	2	4	14	85	3	6	0	229	286	343	629	114	364	37	6	283	14	—	—	—	—	—	—
2011	20	ROK	GCL Rays	—	45	37	8	1	0	0	5	10	2	6	1	216	341	243	584	27	296	22	11	279	19	—	—	—	—	—	—
2011	20	INTL	Canberra Cavalry	—	96	84	26	3	1	3	6	17	5	7	2	310	389	476	866	167	354	18	6	383	145	—	—	—	—	—	—
2012	21	A+	Charlotte Stone Crabs	—	148	139	41	8	2	8	8	35	0	0	0	295	333	554	887	259	344	24	5	382	83	—	—	—	—	—	—
2012	21	A	Bowling Green Hot Rods	—	392	352	99	17	5	13	22	89	11	8	3	281	343	469	812	188	336	23	6	353	68	—	—	—	—	—	—
2013	22	AA	Montgomery Biscuits	—	529	487	117	28	3	11	26	110	10	6	2	240	293	378	670	138	285	21	5	297	55	—	—	—	—	—	—
2013	22	INTL	Salt River Rafters	—	20	19	2	1	0	0	1	4	0	0	0	105	150	158	308	53	133	20	5	144	-16	—	—	—	—	—	—
2014	23	AA	Mobile BayBears	—	177	166	35	9	0	1	8	51	2	5	0	211	256	283	539	72	296	29	5	245	27	—	—	—	—	—	—
2015	24	AAA	Reno Aces	—	300	283	81	27	3	14	14	57	3	5	2	286	327	551	878	265	316	19	5	380	82	—	—	—	—	—	—
2015	24	AA	Mobile BayBears	—	64	60	10	0	1	1	3	19	0	0	1	167	206	250	456	83	225	30	5	204	-10	—	—	—	—	—	—
2015	24	A+	Visalia Rawhide	—	33	31	13	4	1	4	1	3	0	0	0	419	438	1.000	1.438	581	360	9	3	588	230	—	—	—	—	—	—
2016	25	AAA	Reno Aces	—	236	223	61	15	4	6	9	47	2	2	1	274	308	457	765	184	320	20	4	333	56	—	—	—	—	—	—
2016	25	AA	Mobile BayBears	—	147	134	36	6	0	7	10	30	1	3	2	269	324	470	794	201	296	20	7	346	58	—	—	—	—	—	—
2017	26	AAA	Iowa Cubs	—	68	63	11	1	0	1	3	25	2	1	0	175	235	238	473	63	270	37	4	222	3	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2009	18	ROK MLE	GCL Rays	—	18	18	4	1	0	0	0	4	0	1	0	222	222	278	500	56	269	22	0	193	17	—	—	—	—	—	—
2010	19	ROK MLE	Princeton Rays	—	261	241	40	12	3	3	8	99	9	13	6	166	221	278	499	112	258	38	3	214	31	—	—	—	—	—	—
2011	20	A MLE	Bowling Green Hot Rods	—	228	214	32	5	1	2	10	117	3	6	0	150	198	210	409	61	320	51	4	189	14	—	—	—	—	—	—
2011	20	ROK MLE	GCL Rays	—	45	39	6	1	0	0	3	14	2	6	1	154	250	179	429	26	236	31	7	196	19	—	—	—	—	—	—
2012	21	A+ MLE	Charlotte Stone Crabs	—	148	142	33	7	1	6	5	49	0	0	0	232	259	423	681	190	308	33	3	291	83	—	—	—	—	—	—
2012	21	A MLE	Bowling Green Hot Rods	—	392	360	79	12	4	8	14	124	11	8	3	219	270	342	612	122	295	32	4	269	68	—	—	—	—	—	—
2013	22	AA MLE	Montgomery Biscuits	—	529	496	106	25	3	8	17	136	10	6	2	214	254	325	579	111	266	26	3	249	55	—	—	—	—	—	—
2014	23	AA MLE	Mobile BayBears	—	177	170	33	9	0	1	4	63	2	5	0	194	222	265	486	71	287	36	2	208	27	—	—	—	—	—	—
2015	24	AAA MLE	Reno Aces	—	300	287	64	19	2	10	10	76	3	5	2	223	257	408	664	185	273	25	3	289	82	—	—	—	—	—	—
2015	24	AA MLE	Mobile BayBears	—	64	61	9	0	1	1	2	24	0	0	1	148	175	230	404	82	199	38	3	154	-10	—	—	—	—	—	—
2015	24	A+ MLE	Visalia Rawhide	—	33	31	11	3	1	4	1	4	0	0	0	355	375	903	1.278	548	291	12	3	508	230	—	—	—	—	—	—
2016	25	AAA MLE	Reno Aces	—	236	226	48	11	3	4	6	61	2	2	1	212	239	341	580	128	267	26	3	251	56	—	—	—	—	—	—
2016	25	AA MLE	Mobile BayBears	—	147	137	29	5	0	5	7	37	1	3	2	212	255	358	613	146	240	25	5	254	58	—	—	—	—	—	—
2017	26	AAA MLE	Iowa Cubs	—	68	65	10	1	0	1	1	30	2	1	0	154	191	215	407	62	241	44	1	172	3	—	—	—	—	—	—
2009	18	ROK MLE	GCL Rays	—	18	18	4	1	0	0	0	4	0	1	0	222	222	278	500	56	286	22	0	193	17	—	—	—	—	—	—
2009	18	ROK RAW	GCL Rays	—	18	18	5	1	0	0	0	3	0	1	0	278	278	333	611	56	333	17	0	272	17	—	—	—	—	—	—
2010	19	ROK MLE	Princeton Rays	—	261	241	40	12	3	3	8	99	9	13	6	166	221	278	499	112	264	38	3	214	31	—	—	—	—	—	—
2010	19	ROK RAW	Princeton Rays	—	261	236	55	17	5	4	13	70	9	13	6	233	298	398	697	165	313	27	5	307	31	—	—	—	—	—	—
2011	20	A MLE	3 teams	—	369	338	53	8	2	3	18	178	10	19	3	157	221	219	440	62	316	48	5	190	15	—	—	—	—	—	—
2011	20	A RAW	3 teams	—	369	331	82	12	3	7	25	112	10	19	3	248	320	366	685	118	352	30	7	309	15	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	540	501	112	19	6	14	20	173	11	8	3	224	269	369	638	146	306	32	4	275	72	—	—	—	—	—	—
2012	21	A RAW	2 teams	—	540	491	140	25	7	21	30	124	11	8	3	285	340	493	833	208	338	23	6	361	72	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	549	515	109	26	3	8	18	141	10	6	2	212	252	320	573	109	272	26	3	249	55	—	—	—	—	—	—
2013	22	AA RAW	2 teams	—	549	506	119	29	3	11	27	114	10	6	2	235	287	370	657	134	279	21	5	291	55	—	—	—	—	—	—
2014	23	AA MLE	Mobile BayBears	—	177	170	33	9	0	1	4	63	2	5	0	194	222	265	486	71	299	36	2	208	27	—	—	—	—	—	—
2014	23	AA RAW	Mobile BayBears	—	177	166	35	9	0	1	8	51	2	5	0	211	256	283	539	72	296	29	5	245	27	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	397	379	85	23	4	15	13	104	3	5	3	224	256	425	680	201	268	26	3	285	79	—	—	—	—	—	—
2015	24	AAA RAW	3 teams	—	397	374	104	31	5	19	18	79	3	5	3	278	316	540	857	262	307	20	5	369	79	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	383	363	77	16	3	9	13	99	3	5	3	212	245	347	592	135	264	26	3	252	57	—	—	—	—	—	—
2016	25	AAA RAW	2 teams	—	383	357	97	21	4	13	19	77	3	5	3	272	314	462	776	190	311	20	5	338	57	—	—	—	—	—	—
2017	26	AAA MLE	Iowa Cubs	—	68	65	10	1	0	1	1	30	2	1	0	154	191	215	407	62	265	44	1	172	3	—	—	—	—	—	—
2017	26	AAA RAW	Iowa Cubs	—	68	63	11	1	0	1	3	25	2	1	0	175	235	238	473	63	270	37	4	222	3	—	—	—	—	—	—
2009	18	ROK MLE	GCL Rays	—	18	18	4	1	0	0	0	4	0	1	0	222	222	278	500	56	269	22	0	193	17	—	—	—	—	—	—
2010	19	ROK MLE	Princeton Rays	—	261	242	40	12	3	3	8	99	9	13	6	165	221	277	498	112	258	38	3	214	31	—	—	—	—	—	—
2011	20	A MLE	3 teams	—	369	338	53	8	2	3	18	178	10	19	3	157	221	219	440	62	306	48	5	190	15	—	—	—	—	—	—
2012	21	A MLE	2 teams	—	540	504	112	19	6	14	20	173	11	8	3	222	269	367	636	145	299	32	4	275	72	—	—	—	—	—	—
2013	22	AA MLE	2 teams	—	549	516	109	26	3	8	18	141	10	6	2	211	252	320	572	109	266	26	3	249	55	—	—	—	—	—	—
2014	23	AA MLE	Mobile BayBears	—	177	169	33	9	0	1	4	63	2	5	0	195	222	266	488	71	287	36	2	208	27	—	—	—	—	—	—
2015	24	AAA MLE	3 teams	—	397	378	85	23	4	15	13	104	3	5	3	225	256	426	682	201	263	26	3	285	79	—	—	—	—	—	—
2016	25	AAA MLE	2 teams	—	383	364	77	16	3	9	13	99	3	5	3	212	245	346	592	135	257	26	3	252	57	—	—	—	—	—	—
2017	26	AAA MLE	Iowa Cubs	—	68	65	10	1	0	1	1	30	2	1	0	154	191	215	407	62	241	44	1	172	3	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2762	2590	523	115	21	54	95	891	50	63	20	202	244	325	569	123	282	32	3	244	51	-161	+5	+0	+10	+60	-8.8
/ 162G	—	MLE		—	650	610	123	27	5	13	22	210	12	15	5	202	244	326	570	125	281	32	3	244	51	-38	+1	+0	+2	+14	-2.1

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.

2017 AAAIowa Cubs · 68 PAwOBA .209 → .172 (−37)K% 36.8% → 43.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.76%	÷1.083	×1.290	—	—	43.80%
BB% (unintentional) /PA	2.94%	÷0.965	×0.710	—	×1.003	2.17%
HBP% /PA	2.94%	—	×0.980	—	×1.003	2.89%
Singles /BIP	23.68%	÷0.991	×0.900	—	×1.003	21.57%
Doubles /BIP	2.63%	÷1.056	×0.810	—	×1.003	2.02%
Triples /BIP	0.00%	÷1.042	×0.810	—	×1.003	0.00%
Home runs /BIP	2.63%	÷0.899	×0.780	—	×1.003	2.29%

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 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average).

Result: wOBA .209 → .172; ISO .063 → .049; BABIP .270 → .241. 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 AAAReno Aces · 236 PAwOBA .325 → .251 (−73)K% 19.9% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.92%	÷0.991	×1.290	—	—	25.93%
BB% (unintentional) /PA	3.39%	÷0.979	×0.710	—	×1.018	2.50%
HBP% /PA	0.85%	—	×0.980	—	×1.018	0.85%
Singles /BIP	20.45%	÷1.052	×0.900	×1.012	×1.018	18.04%
Doubles /BIP	8.52%	÷1.060	×0.810	×1.012	×1.018	6.71%
Triples /BIP	2.27%	÷1.150	×0.810	×1.012	×1.018	1.65%
Home runs /BIP	3.41%	÷1.092	×0.780	—	×1.018	2.48%

Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 110, 2B 112, 3B 130, K 98, BB 96 — 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 ×1.012.

Result: wOBA .325 → .251; ISO .184 → .131; BABIP .320 → .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).

2016 AAMobile BayBears · 147 PAwOBA .338 → .254 (−84)K% 20.4% → 25.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.41%	÷0.977	×1.220	—	—	25.49%
BB% (unintentional) /PA	6.80%	÷0.975	×0.680	—	×0.988	4.69%
HBP% /PA	0.68%	—	×0.840	—	×0.988	0.56%
Singles /BIP	22.12%	÷1.065	×0.920	×0.989	×0.988	18.67%
Doubles /BIP	5.77%	÷1.146	×0.910	×0.989	×0.988	4.48%
Triples /BIP	0.00%	÷0.900	×0.880	×0.989	×0.988	0.00%
Home runs /BIP	6.73%	÷1.160	×0.800	—	×0.988	4.59%

Factors used: league row SL. Park (home-season share, regressed): HR 132, 1B 113, 2B 129, 3B 80, K 95, 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 ×0.989.

Result: wOBA .338 → .254; ISO .201 → .139; BABIP .296 → .240. 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 AAAReno Aces · 300 PAwOBA .369 → .289 (−81)K% 19.0% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.00%	÷0.969	×1.290	—	—	25.28%
BB% (unintentional) /PA	4.67%	÷0.997	×0.710	—	×1.033	3.43%
HBP% /PA	1.00%	—	×0.980	—	×1.033	1.01%
Singles /BIP	16.37%	÷0.964	×0.900	×1.001	×1.033	15.79%
Doubles /BIP	11.95%	÷1.083	×0.810	×1.001	×1.033	9.24%
Triples /BIP	1.33%	÷1.150	×0.810	×1.001	×1.033	0.97%
Home runs /BIP	6.19%	÷1.027	×0.780	—	×1.033	4.86%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 93, 2B 117, 3B 130, K 94, BB 99 — 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 ×1.001.

Result: wOBA .369 → .289; ISO .265 → .192; BABIP .316 → .273. 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 AAMobile BayBears · 64 PAwOBA .198 → .154 (−44)K% 29.7% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.69%	÷0.975	×1.220	—	—	37.13%
BB% (unintentional) /PA	4.69%	÷1.043	×0.680	—	×0.998	3.05%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	19.51%	÷1.011	×0.920	×0.974	×0.998	17.26%
Doubles /BIP	0.00%	÷0.961	×0.910	×0.974	×0.998	0.00%
Triples /BIP	2.44%	÷0.921	×0.880	×0.974	×0.998	2.27%
Home runs /BIP	2.44%	÷1.098	×0.800	—	×0.998	1.77%

Factors used: league row SL. Park (home-season share, regressed): HR 120, 1B 102, 2B 92, 3B 84, K 95, BB 109 — 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 ×0.974.

Result: wOBA .198 → .154; ISO .083 → .063; BABIP .225 → .199. 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+Visalia Rawhide · 33 PAwOBA .587 → .508 (−79)K% 9.1% → 12.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.09%	÷1.002	×1.340	—	—	12.15%
BB% (unintentional) /PA	3.03%	÷1.057	×0.710	—	×0.978	1.99%
HBP% /PA	0.00%	—	×0.790	—	×0.978	0.00%
Singles /BIP	14.29%	÷1.058	×0.910	—	×0.978	12.02%
Doubles /BIP	14.29%	÷1.007	×0.820	—	×0.978	11.38%
Triples /BIP	3.57%	÷0.913	×0.760	—	×0.978	2.91%
Home runs /BIP	14.29%	÷0.973	×0.920	—	×0.978	13.21%

Factors used: league row CAL. Park (home-season share, regressed): HR 95, 1B 112, 2B 101, 3B 83, K 100, BB 111 — 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).

Result: wOBA .587 → .508; ISO .581 → .519; BABIP .360 → .291. 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 AAMobile BayBears · 177 PAwOBA .234 → .208 (−26)K% 28.8% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.81%	÷0.993	×1.220	—	—	35.39%
BB% (unintentional) /PA	3.39%	÷1.030	×0.680	—	×1.012	2.26%
HBP% /PA	1.13%	—	×0.840	—	×1.012	0.96%
Singles /BIP	21.74%	÷1.018	×0.920	×1.050	×1.012	20.88%
Doubles /BIP	7.83%	÷0.965	×0.910	×1.050	×1.012	7.84%
Triples /BIP	0.00%	÷1.038	×0.880	×1.050	×1.012	0.00%
Home runs /BIP	0.87%	÷0.902	×0.800	—	×1.012	0.78%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 104, 2B 93, 3B 108, K 99, BB 106 — 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 ×1.050.

Result: wOBA .234 → .208; ISO .072 → .067; BABIP .296 → .287. 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 AAMontgomery Biscuits · 529 PAwOBA .291 → .249 (−42)K% 20.8% → 25.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.79%	÷0.987	×1.220	—	—	25.71%
BB% (unintentional) /PA	4.54%	÷1.003	×0.680	—	×1.027	3.16%
HBP% /PA	1.89%	—	×0.840	—	×1.027	1.63%
Singles /BIP	19.89%	÷1.009	×0.920	×1.017	×1.027	18.95%
Doubles /BIP	7.43%	÷1.036	×0.910	×1.017	×1.027	6.81%
Triples /BIP	0.80%	÷1.013	×0.880	×1.017	×1.027	0.72%
Home runs /BIP	2.92%	÷1.151	×0.800	—	×1.027	2.08%

Factors used: league row SL. Park (home-season share, regressed): HR 130, 1B 102, 2B 107, 3B 103, K 97, BB 101 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .291 → .249; ISO .138 → .109; BABIP .285 → .266. 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).