Andrew Susac

PosC

B/TR/R

Born1990-03-22

Age (2027)37

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	28	AAABAL	158	.256/.408/.456	6	0	97	—	.215/.325/.370
2018	28	MLBBAL	26	.115/.115/.154	0	0	-33	-0.0
2019	29	AAAKC	93	.234/.366/.442	4	3	63	—	.171/.269/.317
2021	31	AAAPIT	40	.222/.300/.444	2	0	35	—	.158/.200/.289
2022	32	No MLB games played
2023	33	No MLB games played
2024	34	No MLB games played
2025	35	No MLB games played
2026	36	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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	22	A+	San Jose Giants	—	426	361	88	16	3	9	55	100	6	1	1	244	353	380	733	136	311	23	13	331	62	—	—	—	—	—	—
2013	23	AA	Richmond Flying Squirrels	—	310	262	66	16	0	12	42	69	3	1	0	252	362	450	812	198	295	22	14	359	84	—	—	—	—	—	—
2013	23	INTL	Scottsdale Scorpions	—	67	50	18	0	0	2	16	11	0	0	0	360	515	480	995	120	421	16	24	445	187	—	—	—	—	—	—
2014	24	MLB	San Francisco Giants	—	95	88	24	8	0	3	7	28	0	0	0	273	326	466	792	193	368	29	7	349	127	+3	+0	+1	+6	+2	1.2
2014	24	AAA	Fresno Grizzlies	—	253	213	57	9	0	10	34	50	5	0	0	268	381	451	832	183	305	20	13	372	84	—	—	—	—	—	—
2015	25	MLB	San Francisco Giants	—	148	133	29	7	2	3	14	43	1	0	0	218	297	368	666	150	299	29	9	300	92	-1	+0	+0	+4	+3	0.6
2015	25	AAA	Sacramento River Cats	—	32	28	9	3	0	1	3	10	1	0	0	321	406	536	942	214	471	31	9	415	104	—	—	—	—	—	—
2015	25	A+	San Jose Giants	—	16	14	4	1	0	1	1	4	1	0	0	286	375	571	946	286	333	25	6	413	95	—	—	—	—	—	—
2016	26	MLB	Milwaukee Brewers	—	19	17	4	1	0	1	2	5	0	0	0	235	316	471	786	235	273	26	11	346	120	+0	+0	-0	+5	+0	0.6
2016	26	AAA	Colorado Springs Sky Sox	—	282	249	62	13	1	8	26	61	1	0	0	249	322	406	728	157	290	22	9	319	53	—	—	—	—	—	—
2017	27	AAA	Colorado Springs Sky Sox	—	202	171	35	10	0	8	26	53	1	0	0	205	313	404	717	199	237	26	13	316	42	—	—	—	—	—	—
2018	28	MLB	Baltimore Orioles	—	26	26	3	1	0	0	0	12	0	0	0	115	115	154	269	38	214	46	0	119	-33	-4	+0	+0	+3	+1	-0.0
2018	28	AAA	Norfolk Tides	—	158	125	32	7	0	6	31	42	1	0	0	256	408	456	864	200	333	27	20	386	97	—	—	—	—	—	—
2019	29	AAA	Omaha Storm Chasers	—	93	77	18	4	0	4	14	24	2	3	2	234	366	442	807	208	286	26	15	363	63	—	—	—	—	—	—
2021	31	AAA	Indianapolis Indians	—	40	36	8	2	0	2	4	12	0	0	0	222	300	444	744	222	273	30	10	329	35	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	288	264	60	17	2	7	23	88	1	0	0	227	292	386	678	159	314	31	8	303	91	-3	+0	+1	+18	+6	2.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	22	A+ MLE	San Jose Giants	—	426	378	74	13	2	8	38	134	6	1	1	196	280	304	584	108	271	31	9	260	62	—	—	—	—	—	—
2013	23	AA MLE	Richmond Flying Squirrels	—	310	275	59	13	0	10	29	87	3	1	0	215	296	371	667	156	266	28	9	292	84	—	—	—	—	—	—
2014	24	MLB MLE	San Francisco Giants	—	95	88	24	8	0	3	7	28	0	0	0	273	326	466	792	193	368	29	7	356	127	+3	+0	+1	+6	+2	1.2
2014	24	AAA MLE	Fresno Grizzlies	—	253	222	48	7	0	8	25	65	5	0	0	216	310	356	665	140	263	26	10	293	84	—	—	—	—	—	—
2015	25	MLB MLE	San Francisco Giants	—	148	133	29	7	2	3	14	43	1	0	0	218	297	368	666	150	299	29	9	305	92	-1	+0	+0	+4	+3	0.6
2015	25	AAA MLE	Sacramento River Cats	—	32	29	7	2	0	1	2	12	1	0	0	241	312	414	726	172	412	38	6	322	104	—	—	—	—	—	—
2015	25	A+ MLE	San Jose Giants	—	16	14	4	1	0	1	1	5	1	0	0	286	375	571	946	286	283	31	6	309	95	—	—	—	—	—	—
2016	26	MLB MLE	Milwaukee Brewers	—	19	17	4	1	0	1	2	5	0	0	0	235	316	471	786	235	273	26	11	346	120	+0	+0	-0	+5	+0	0.6
2016	26	AAA MLE	Colorado Springs Sky Sox	—	282	258	50	9	1	6	17	82	1	0	0	194	246	306	553	112	241	29	6	246	53	—	—	—	—	—	—
2017	27	AAA MLE	Colorado Springs Sky Sox	—	202	179	26	6	0	6	18	72	1	0	0	145	227	279	507	134	181	36	9	231	42	—	—	—	—	—	—
2018	28	MLB MLE	Baltimore Orioles	—	26	26	3	1	0	0	0	12	0	0	0	115	115	154	269	38	214	46	0	119	-33	-4	+0	+0	+3	+1	-0.0
2018	28	AAA MLE	Norfolk Tides	—	158	135	29	6	0	5	21	50	1	0	0	215	325	370	695	156	287	32	13	311	97	—	—	—	—	—	—
2019	29	AAA MLE	Omaha Storm Chasers	—	93	82	14	3	0	3	9	32	2	3	2	171	269	317	586	146	238	34	10	262	63	—	—	—	—	—	—
2021	31	AAA MLE	Indianapolis Indians	—	40	38	6	2	0	1	2	15	0	0	0	158	200	289	489	132	227	38	5	220	35	—	—	—	—	—	—
2012	22	A+ MLE	San Jose Giants	—	426	378	74	13	2	8	38	134	6	1	1	196	280	304	584	108	277	31	9	260	62	—	—	—	—	—	—
2012	22	A+ RAW	San Jose Giants	—	426	361	88	16	3	9	55	100	6	1	1	244	353	380	733	136	311	23	13	331	62	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	377	335	71	16	0	12	35	106	3	1	0	212	292	367	659	155	268	28	9	292	84	—	—	—	—	—	—
2013	23	AA RAW	2 teams	—	377	312	84	16	0	14	58	80	3	1	0	269	389	455	844	186	317	21	15	375	84	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	348	310	72	15	0	11	32	93	5	0	0	232	314	387	701	155	295	27	9	310	96	—	—	—	—	—	—
2014	24	AAA RAW	2 teams	—	348	301	81	17	0	13	41	78	5	0	0	269	366	455	821	186	322	22	12	366	96	—	—	—	—	—	—
2015	25	MLB MLE	3 teams	—	196	176	40	10	2	5	17	61	3	0	0	227	306	392	698	165	318	31	9	308	94	-1	+0	+0	+4	+4	0.7
2015	25	MLB RAW	3 teams	—	196	175	42	11	2	5	18	57	3	0	0	240	321	411	733	171	327	29	9	328	94	-1	+0	+0	+4	+4	0.7
2016	26	AAA MLE	2 teams	—	301	275	54	10	1	7	19	87	1	0	0	196	251	316	567	120	251	29	6	252	57	—	—	—	—	—	—
2016	26	AAA RAW	2 teams	—	301	266	66	14	1	9	28	66	1	0	0	248	322	410	732	162	289	22	9	321	57	—	—	—	—	—	—
2017	27	AAA MLE	Colorado Springs Sky Sox	—	202	179	26	6	0	6	18	72	1	0	0	145	227	279	507	134	190	36	9	231	42	—	—	—	—	—	—
2017	27	AAA RAW	Colorado Springs Sky Sox	—	202	171	35	10	0	8	26	53	1	0	0	205	313	404	717	199	237	26	13	316	42	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	184	161	32	7	0	5	21	62	1	0	0	199	295	335	630	137	284	34	11	284	78	—	—	—	—	—	—
2018	28	AAA RAW	2 teams	—	184	151	35	8	0	6	31	54	1	0	0	232	366	404	770	172	315	29	17	349	78	—	—	—	—	—	—
2019	29	AAA MLE	Omaha Storm Chasers	—	93	82	14	3	0	3	9	32	2	3	2	171	269	317	586	146	234	34	10	262	63	—	—	—	—	—	—
2019	29	AAA RAW	Omaha Storm Chasers	—	93	77	18	4	0	4	14	24	2	3	2	234	366	442	807	208	286	26	15	363	63	—	—	—	—	—	—
2021	31	AAA MLE	Indianapolis Indians	—	40	38	6	2	0	1	2	15	0	0	0	158	200	289	489	132	227	38	5	220	35	—	—	—	—	—	—
2021	31	AAA RAW	Indianapolis Indians	—	40	36	8	2	0	2	4	12	0	0	0	222	300	444	744	222	273	30	10	329	35	—	—	—	—	—	—
2012	22	A+ MLE	San Jose Giants	—	426	379	74	13	2	8	38	134	6	1	1	195	280	303	583	108	271	31	9	260	62	—	—	—	—	—	—
2013	23	AA MLE	2 teams	—	377	336	71	16	0	12	35	106	3	1	0	211	292	366	658	155	266	28	9	292	84	—	—	—	—	—	—
2014	24	AAA MLE	2 teams	—	348	308	72	15	0	11	32	93	5	0	0	234	314	390	704	156	292	27	9	310	96	—	—	—	—	—	—
2015	25	MLB MLE	3 teams	—	196	174	40	10	2	5	17	61	3	0	0	230	306	397	703	167	316	31	9	308	94	—	—	—	—	—	—
2016	26	AAA MLE	2 teams	—	301	278	54	10	1	7	19	87	1	0	0	194	251	313	564	119	243	29	6	252	57	—	—	—	—	—	—
2017	27	AAA MLE	Colorado Springs Sky Sox	—	202	181	26	6	0	6	18	72	1	0	0	144	227	276	504	133	181	36	9	231	42	—	—	—	—	—	—
2018	28	AAA MLE	2 teams	—	184	160	32	7	0	5	21	62	1	0	0	200	295	338	633	138	277	34	11	284	78	—	—	—	—	—	—
2019	29	AAA MLE	Omaha Storm Chasers	—	93	82	14	3	0	3	9	32	2	3	2	171	269	317	586	146	238	34	10	262	63	—	—	—	—	—	—
2021	31	AAA MLE	Indianapolis Indians	—	40	38	6	2	0	1	2	15	0	0	0	158	200	289	489	132	227	38	5	220	35	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	288	264	60	17	2	7	23	88	1	0	0	227	292	386	678	159	314	31	8	303	73	-3	+0	+1	+18	+6	2.3
/ 162G	—	A+C		—	650	596	136	38	5	16	52	199	2	0	0	228	292	389	682	161	315	31	8	303	73	-7	+0	+2	+41	+14	5.1
Career	—	MLE		—	2167	1934	389	82	5	58	191	662	22	5	3	201	280	339	619	138	269	31	9	276	73	-3	+0	+1	+18	+6	2.3
/ 162G	—	MLE		—	650	580	116	25	1	17	57	199	7	1	1	200	280	334	614	134	268	31	9	276	73	-7	+0	+2	+41	+14	5.1

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.

2021 AAAIndianapolis Indians · 40 PAwOBA .319 → .220 (−99)K% 30.0% → 37.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷0.961	×1.200	—	—	37.47%
BB% (unintentional) /PA	10.00%	÷1.100	×0.690	—	×0.962	6.03%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	16.67%	÷1.011	×0.930	—	×0.962	14.75%
Doubles /BIP	8.33%	÷0.986	×0.830	—	×0.962	6.75%
Triples /BIP	0.00%	÷0.914	×0.920	—	×0.962	0.00%
Home runs /BIP	8.33%	÷1.096	×0.700	—	×0.962	5.12%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 102, 2B 97, 3B 83, K 92, BB 120 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).

Result: wOBA .319 → .220; ISO .222 → .139; BABIP .273 → .227. 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 AAAOmaha Storm Chasers · 93 PAwOBA .354 → .262 (−92)K% 25.8% → 34.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.81%	÷0.971	×1.290	—	—	34.30%
BB% (unintentional) /PA	15.05%	÷1.065	×0.710	—	×0.982	9.86%
HBP% /PA	2.15%	—	×0.980	—	×0.982	2.07%
Singles /BIP	18.87%	÷1.024	×0.900	—	×0.982	16.28%
Doubles /BIP	7.55%	÷0.973	×0.810	—	×0.982	6.17%
Triples /BIP	0.00%	÷1.038	×0.810	—	×0.982	0.00%
Home runs /BIP	7.55%	÷1.023	×0.780	—	×0.982	5.65%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 105, 2B 95, 3B 108, K 94, BB 113 — 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).

Result: wOBA .354 → .262; ISO .208 → .150; BABIP .286 → .238. 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 AAANorfolk Tides · 158 PAwOBA .377 → .311 (−67)K% 26.6% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.58%	÷1.009	×1.200	—	—	31.61%
BB% (unintentional) /PA	18.99%	÷0.997	×0.690	—	×0.992	13.03%
HBP% /PA	0.63%	—	×0.940	—	×0.992	0.59%
Singles /BIP	22.89%	÷0.984	×0.930	×0.974	×0.992	20.90%
Doubles /BIP	8.43%	÷1.063	×0.830	×0.974	×0.992	6.36%
Triples /BIP	0.00%	÷1.150	×0.970	×0.974	×0.992	0.00%
Home runs /BIP	7.23%	÷0.964	×0.840	—	×0.992	6.25%

Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 97, 2B 113, 3B 130, K 102, BB 99 — 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 ×0.974.

Result: wOBA .377 → .311; ISO .200 → .174; BABIP .333 → .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).

2017 AAAColorado Springs Sky Sox · 202 PAwOBA .312 → .231 (−81)K% 26.2% → 35.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.24%	÷0.953	×1.290	—	—	35.51%
BB% (unintentional) /PA	12.38%	÷0.995	×0.710	—	×1.003	8.86%
HBP% /PA	0.50%	—	×0.980	—	×1.003	0.49%
Singles /BIP	14.41%	÷1.018	×0.900	×0.950	×1.003	12.14%
Doubles /BIP	8.47%	÷1.163	×0.810	×0.950	×1.003	5.62%
Triples /BIP	0.00%	÷1.150	×0.810	×0.950	×1.003	0.00%
Home runs /BIP	6.78%	÷0.933	×0.780	—	×1.003	5.69%

Factors used: league row PCL. Park (home-season share, regressed): HR 87, 1B 104, 2B 133, 3B 130, K 91, BB 99 — 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 ×0.950.

Result: wOBA .312 → .231; ISO .199 → .148; BABIP .237 → .181. 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 AAAColorado Springs Sky Sox · 282 PAwOBA .316 → .246 (−71)K% 21.6% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.63%	÷0.964	×1.290	—	—	28.95%
BB% (unintentional) /PA	8.87%	÷1.052	×0.710	—	×1.018	6.09%
HBP% /PA	0.35%	—	×0.980	—	×1.018	0.35%
Singles /BIP	21.28%	÷1.046	×0.900	×1.012	×1.018	18.86%
Doubles /BIP	6.91%	÷1.196	×0.810	×1.012	×1.018	4.83%
Triples /BIP	0.53%	÷1.150	×0.810	×1.012	×1.018	0.39%
Home runs /BIP	4.26%	÷0.973	×0.780	—	×1.018	3.47%

Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — 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 .316 → .246; ISO .157 → .117; BABIP .290 → .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).

2015 AAASacramento River Cats · 32 PAwOBA .404 → .322 (−82)K% 31.2% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷1.047	×1.290	—	—	38.50%
BB% (unintentional) /PA	9.38%	÷0.960	×0.710	—	×1.033	7.17%
HBP% /PA	3.12%	—	×0.980	—	×1.033	3.16%
Singles /BIP	27.78%	÷1.003	×0.900	—	×1.033	25.74%
Doubles /BIP	16.67%	÷1.024	×0.810	—	×1.033	13.62%
Triples /BIP	0.00%	÷0.925	×0.810	—	×1.033	0.00%
Home runs /BIP	5.56%	÷0.982	×0.780	—	×1.033	4.56%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — 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).

Result: wOBA .404 → .322; ISO .214 → .160; BABIP .471 → .412. 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+San Jose Giants · 16 PAwOBA .401 → .309 (−93)K% 25.0% → 34.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.983	×1.340	—	—	34.08%
BB% (unintentional) /PA	6.25%	÷0.996	×0.710	—	×0.978	4.36%
HBP% /PA	6.25%	—	×0.790	—	×0.978	4.83%
Singles /BIP	20.00%	÷0.971	×0.910	—	×0.978	18.32%
Doubles /BIP	10.00%	÷1.071	×0.820	—	×0.978	7.49%
Triples /BIP	0.00%	÷1.150	×0.760	—	×0.978	0.00%
Home runs /BIP	10.00%	÷1.031	×0.920	—	×0.978	8.73%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — 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 .401 → .309; ISO .286 → .218; BABIP .333 → .283. 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 AAAFresno Grizzlies · 253 PAwOBA .363 → .293 (−70)K% 19.8% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.76%	÷0.994	×1.290	—	—	25.64%
BB% (unintentional) /PA	13.04%	÷1.005	×0.710	—	×1.048	9.65%
HBP% /PA	1.98%	—	×0.980	—	×1.048	2.03%
Singles /BIP	23.31%	÷1.002	×0.900	×0.950	×1.048	20.85%
Doubles /BIP	5.52%	÷1.014	×0.810	×0.950	×1.048	4.39%
Triples /BIP	0.00%	÷0.900	×0.810	×0.950	×1.048	0.00%
Home runs /BIP	6.13%	÷1.045	×0.780	—	×1.048	4.80%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 100, 2B 103, 3B 80, K 99, BB 101 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .363 → .293; ISO .183 → .140; BABIP .305 → .263. 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).