Anthony Giansanti

PosLF

B/TR/R

Born1988-09-28

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2023

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2021	32	INTLSultanes de M…	255	.271/.381/.467	9	5	139	—
2022	33	INTLAguilas de Me…	265	.251/.342/.463	10	2	126	—
2023	34	INTLNaranjeros de…	59	.060/.203/.140	1	0	7	—

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)
2010	21	A	Peoria Chiefs	—	114	98	29	10	0	0	11	19	3	2	1	296	384	398	782	102	358	17	10	350	82	—	—	—	—	—	—
2010	21	ROK	AZL Cubs	—	116	101	34	2	3	2	9	13	1	3	2	337	396	475	872	139	356	11	8	371	74	—	—	—	—	—	—
2011	22	A	Peoria Chiefs	—	493	444	103	21	4	11	34	80	7	8	7	232	297	372	669	140	257	16	7	296	49	—	—	—	—	—	—
2012	23	A	Peoria Chiefs	—	106	98	29	5	0	0	8	16	0	1	2	296	349	347	696	51	354	15	8	318	56	—	—	—	—	—	—
2012	23	ROK	AZL Cubs	—	23	20	4	1	0	1	3	2	0	0	0	200	304	400	704	200	176	9	13	316	34	—	—	—	—	—	—
2013	24	AAA	Iowa Cubs	—	30	29	10	3	0	0	1	5	0	1	0	345	367	448	815	103	417	17	3	363	83	—	—	—	—	—	—
2013	24	AA	Tennessee Smokies	—	110	101	25	7	1	0	5	22	2	0	1	248	296	337	633	89	312	20	5	281	51	—	—	—	—	—	—
2013	24	A+	Daytona Cubs	—	189	165	47	6	2	1	20	31	2	3	3	285	369	364	733	79	343	16	11	332	66	—	—	—	—	—	—
2014	25	AA	Tennessee Smokies	—	243	222	53	6	1	3	15	36	1	3	1	239	290	315	605	77	272	15	6	270	49	—	—	—	—	—	—
2015	26	AAA	Iowa Cubs	—	17	17	3	2	0	0	0	4	0	0	0	176	176	294	471	118	231	24	0	204	-8	—	—	—	—	—	—
2015	26	AA	Tennessee Smokies	—	191	169	39	4	1	0	17	30	1	3	2	231	305	266	571	36	279	16	9	262	36	—	—	—	—	—	—
2016	27	AA	Tennessee Smokies	—	37	35	8	1	0	1	2	10	0	1	0	229	270	343	613	114	292	27	5	275	28	—	—	—	—	—	—
2018	29	INTL	Venados de Mazatlan	—	128	118	33	7	0	2	6	23	3	1	3	280	331	390	721	110	333	18	5	322	104	—	—	—	—	—	—
2019	30	INTL	Mexico	—	227	204	59	8	2	6	18	37	3	4	5	289	356	436	792	147	325	16	8	351	124	—	—	—	—	—	—
2020	31	INTL	Venados de Mazatlan	—	213	182	51	12	3	5	29	32	2	2	3	280	385	462	847	181	317	15	14	378	142	—	—	—	—	—	—
2021	32	INTL	Sultanes de Monterrey	—	255	214	58	15	0	9	35	51	3	5	2	271	381	467	848	196	314	20	14	374	139	—	—	—	—	—	—
2022	33	INTL	Aguilas de Mexicali	—	265	231	58	17	1	10	29	47	3	2	2	251	342	463	805	212	276	18	11	354	126	—	—	—	—	—	—
2023	34	INTL	Naranjeros de Hermosillo	—	59	50	3	1	0	1	9	13	0	0	0	60	203	140	343	80	56	22	15	179	7	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	21	A MLE	Peoria Chiefs	—	114	102	25	8	0	0	7	26	3	2	1	245	312	324	636	78	320	23	6	290	82	—	—	—	—	—	—
2010	21	ROK MLE	AZL Cubs	—	116	105	26	1	2	2	5	19	1	3	2	248	288	352	641	105	264	16	4	277	74	—	—	—	—	—	—
2011	22	A MLE	Peoria Chiefs	—	493	455	89	17	4	9	23	106	7	8	7	196	245	310	555	114	225	22	5	241	49	—	—	—	—	—	—
2012	23	A MLE	Peoria Chiefs	—	106	101	25	4	0	0	5	22	0	1	2	248	283	287	570	40	311	21	5	251	56	—	—	—	—	—	—
2012	23	ROK MLE	AZL Cubs	—	23	21	4	1	0	1	2	3	0	0	0	190	261	381	642	190	131	13	9	218	34	—	—	—	—	—	—
2013	24	AAA MLE	Iowa Cubs	—	30	29	8	2	0	0	1	6	0	1	0	276	300	345	645	69	368	20	3	291	83	—	—	—	—	—	—
2013	24	AA MLE	Tennessee Smokies	—	110	103	22	6	1	0	3	28	2	0	1	214	250	291	541	78	291	25	3	243	51	—	—	—	—	—	—
2013	24	A+ MLE	Daytona Cubs	—	189	172	41	5	2	1	13	41	2	3	3	238	299	308	608	70	297	22	7	266	66	—	—	—	—	—	—
2014	25	AA MLE	Tennessee Smokies	—	243	226	51	5	1	2	11	45	1	3	1	226	265	283	548	58	263	19	5	240	49	—	—	—	—	—	—
2015	26	AAA MLE	Iowa Cubs	—	17	17	3	2	0	0	0	5	0	0	0	176	176	294	471	118	196	29	0	156	-8	—	—	—	—	—	—
2015	26	AA MLE	Tennessee Smokies	—	191	174	36	4	1	0	12	38	1	3	2	207	262	241	503	34	252	20	6	221	36	—	—	—	—	—	—
2016	27	AA MLE	Tennessee Smokies	—	37	36	7	1	0	1	1	12	0	1	0	194	216	306	522	111	257	32	3	209	28	—	—	—	—	—	—
2010	21	ROK MLE	2 teams	—	230	206	53	10	2	2	13	44	4	5	3	257	314	354	668	97	307	19	6	283	78	—	—	—	—	—	—
2010	21	ROK RAW	2 teams	—	230	199	63	12	3	2	20	32	4	5	3	317	390	437	827	121	357	14	9	361	78	—	—	—	—	—	—
2011	22	A MLE	Peoria Chiefs	—	493	455	89	17	4	9	23	106	7	8	7	196	245	310	555	114	232	22	5	241	49	—	—	—	—	—	—
2011	22	A RAW	Peoria Chiefs	—	493	444	103	21	4	11	34	80	7	8	7	232	297	372	669	140	257	16	7	296	49	—	—	—	—	—	—
2012	23	A MLE	2 teams	—	129	122	28	4	0	1	7	24	0	1	2	230	271	287	558	57	278	19	5	245	52	—	—	—	—	—	—
2012	23	A RAW	2 teams	—	129	118	33	6	0	1	11	18	0	1	2	280	341	356	697	76	323	14	9	318	52	—	—	—	—	—	—
2013	24	A+ MLE	3 teams	—	329	304	72	14	3	1	17	76	4	4	4	237	286	312	599	76	310	23	5	261	63	—	—	—	—	—	—
2013	24	A+ RAW	3 teams	—	329	295	82	16	3	1	26	58	4	4	4	278	345	363	707	85	340	18	8	318	63	—	—	—	—	—	—
2014	25	AA MLE	Tennessee Smokies	—	243	226	51	5	1	2	11	45	1	3	1	226	265	283	548	58	272	19	5	240	49	—	—	—	—	—	—
2014	25	AA RAW	Tennessee Smokies	—	243	222	53	6	1	3	15	36	1	3	1	239	290	315	605	77	272	15	6	270	49	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	208	191	38	5	1	0	12	43	1	3	2	199	250	236	486	37	255	21	6	216	32	—	—	—	—	—	—
2015	26	AA RAW	2 teams	—	208	186	42	6	1	0	17	34	1	3	2	226	294	269	563	43	275	16	8	258	32	—	—	—	—	—	—
2016	27	AA MLE	Tennessee Smokies	—	37	36	7	1	0	1	1	12	0	1	0	194	216	306	522	111	261	32	3	209	28	—	—	—	—	—	—
2016	27	AA RAW	Tennessee Smokies	—	37	35	8	1	0	1	2	10	0	1	0	229	270	343	613	114	292	27	5	275	28	—	—	—	—	—	—
2018	29	INTL MLE	Venados de Mazatlan	—	128	118	33	7	0	2	6	23	3	1	3	280	331	390	721	110	333	18	5	—	—	—	—	—	—	—	—
2018	29	INTL RAW	Venados de Mazatlan	—	128	118	33	7	0	2	6	23	3	1	3	280	331	390	721	110	333	18	5	322	104	—	—	—	—	—	—
2019	30	INTL MLE	Mexico	—	227	204	59	8	2	6	18	37	3	4	5	289	356	436	792	147	325	16	8	—	—	—	—	—	—	—	—
2019	30	INTL RAW	Mexico	—	227	204	59	8	2	6	18	37	3	4	5	289	356	436	792	147	325	16	8	351	124	—	—	—	—	—	—
2020	31	INTL MLE	Venados de Mazatlan	—	213	182	51	12	3	5	29	32	2	2	3	280	385	462	847	181	317	15	14	—	—	—	—	—	—	—	—
2020	31	INTL RAW	Venados de Mazatlan	—	213	182	51	12	3	5	29	32	2	2	3	280	385	462	847	181	317	15	14	378	142	—	—	—	—	—	—
2021	32	INTL MLE	Sultanes de Monterrey	—	255	214	58	15	0	9	35	51	3	5	2	271	381	467	848	196	314	20	14	—	—	—	—	—	—	—	—
2021	32	INTL RAW	Sultanes de Monterrey	—	255	214	58	15	0	9	35	51	3	5	2	271	381	467	848	196	314	20	14	374	139	—	—	—	—	—	—
2022	33	INTL MLE	Aguilas de Mexicali	—	265	231	58	17	1	10	29	47	3	2	2	251	342	463	805	212	276	18	11	—	—	—	—	—	—	—	—
2022	33	INTL RAW	Aguilas de Mexicali	—	265	231	58	17	1	10	29	47	3	2	2	251	342	463	805	212	276	18	11	354	126	—	—	—	—	—	—
2023	34	INTL MLE	Naranjeros de Hermosillo	—	59	50	3	1	0	1	9	13	0	0	0	60	203	140	343	80	56	22	15	—	—	—	—	—	—	—	—
2023	34	INTL RAW	Naranjeros de Hermosillo	—	59	50	3	1	0	1	9	13	0	0	0	60	203	140	343	80	56	22	15	179	7	—	—	—	—	—	—
2010	21	ROK MLE	2 teams	—	230	211	53	10	2	2	13	44	4	5	3	251	314	346	660	95	292	19	6	283	78	—	—	—	—	—	—
2011	22	A MLE	Peoria Chiefs	—	493	460	89	17	4	9	23	106	7	8	7	193	245	307	552	113	225	22	5	241	49	—	—	—	—	—	—
2012	23	A MLE	2 teams	—	129	121	28	4	0	1	7	24	0	1	2	231	271	289	561	58	279	19	5	245	52	—	—	—	—	—	—
2013	24	A+ MLE	3 teams	—	329	305	72	14	3	1	17	76	4	4	4	236	286	311	598	75	301	23	5	261	63	—	—	—	—	—	—
2014	25	AA MLE	Tennessee Smokies	—	243	229	51	5	1	2	11	45	1	3	1	223	265	279	544	57	263	19	5	240	49	—	—	—	—	—	—
2015	26	AA MLE	2 teams	—	208	193	38	5	1	0	12	43	1	3	2	197	250	233	483	36	247	21	6	216	32	—	—	—	—	—	—
2016	27	AA MLE	Tennessee Smokies	—	37	36	7	1	0	1	1	12	0	1	0	194	216	306	522	111	257	32	3	209	28	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2816	2539	600	116	17	49	210	553	31	39	34	236	303	353	656	117	282	20	7	146	-15	-385	-6	+0	-30	+61	-36.7
/ 162G	—	MLE		—	650	586	138	27	4	11	48	128	7	9	8	235	301	352	652	116	282	20	7	146	-15	-89	-1	+0	-7	+14	-8.5

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.

2016 AATennessee Smokies · 37 PAwOBA .268 → .209 (−58)K% 27.0% → 33.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.03%	÷0.992	×1.220	—	—	33.26%
BB% (unintentional) /PA	5.41%	÷0.982	×0.680	—	×0.968	3.62%
HBP% /PA	0.00%	—	×0.840	—	×0.968	0.00%
Singles /BIP	24.00%	÷1.013	×0.920	—	×0.968	21.10%
Doubles /BIP	4.00%	÷0.918	×0.910	—	×0.968	3.84%
Triples /BIP	0.00%	÷0.900	×0.880	—	×0.968	0.00%
Home runs /BIP	4.00%	÷1.059	×0.800	—	×0.968	2.92%

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 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .268 → .209; ISO .114 → .084; BABIP .292 → .257. 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 · 191 PAwOBA .257 → .221 (−36)K% 15.7% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.71%	÷0.967	×1.220	—	—	19.82%
BB% (unintentional) /PA	8.90%	÷0.959	×0.680	—	×0.978	6.17%
HBP% /PA	0.52%	—	×0.840	—	×0.978	0.43%
Singles /BIP	24.46%	÷1.026	×0.920	×1.031	×0.978	22.13%
Doubles /BIP	2.88%	÷0.998	×0.910	×1.031	×0.978	2.65%
Triples /BIP	0.72%	÷1.058	×0.880	×1.031	×0.978	0.60%
Home runs /BIP	0.00%	÷1.048	×0.800	—	×0.978	0.00%

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 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.

Result: wOBA .257 → .221; ISO .036 → .032; BABIP .279 → .252. 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 AAAIowa Cubs · 17 PAwOBA .198 → .156 (−43)K% 23.5% → 28.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.051	×1.290	—	—	28.88%
BB% (unintentional) /PA	0.00%	÷0.996	×0.710	—	×1.003	0.00%
HBP% /PA	0.00%	—	×0.980	—	×1.003	0.00%
Singles /BIP	7.69%	÷1.008	×0.900	—	×1.003	6.89%
Doubles /BIP	15.38%	÷0.984	×0.810	—	×1.003	12.70%
Triples /BIP	0.00%	÷0.948	×0.810	—	×1.003	0.00%
Home runs /BIP	0.00%	÷0.916	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 83, 1B 102, 2B 97, 3B 90, K 110, 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).

Result: wOBA .198 → .156; ISO .118 → .090; BABIP .231 → .196. 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 AATennessee Smokies · 243 PAwOBA .264 → .240 (−24)K% 14.8% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.81%	÷0.980	×1.220	—	—	18.44%
BB% (unintentional) /PA	6.17%	÷0.948	×0.680	—	×0.988	4.37%
HBP% /PA	0.41%	—	×0.840	—	×0.988	0.34%
Singles /BIP	23.12%	÷0.958	×0.920	×1.050	×0.988	23.02%
Doubles /BIP	3.23%	÷1.140	×0.910	×1.050	×0.988	2.67%
Triples /BIP	0.54%	÷1.065	×0.880	×1.050	×0.988	0.46%
Home runs /BIP	1.61%	÷1.009	×0.800	—	×0.988	1.26%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 92, 2B 128, 3B 113, K 96, BB 90 — 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 ×1.050.

Result: wOBA .264 → .240; ISO .077 → .062; BABIP .272 → .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).

2013 A+Daytona Cubs · 189 PAwOBA .324 → .266 (−58)K% 16.4% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.40%	÷1.066	×1.420	—	—	21.86%
BB% (unintentional) /PA	10.05%	÷1.032	×0.750	—	×0.978	7.14%
HBP% /PA	1.06%	—	×0.930	—	×0.978	0.96%
Singles /BIP	28.36%	÷1.015	×0.920	×0.986	×0.978	24.80%
Doubles /BIP	4.48%	÷1.132	×0.960	×0.986	×0.978	3.66%
Triples /BIP	1.49%	÷0.900	×0.810	×0.986	×0.978	1.30%
Home runs /BIP	0.75%	÷1.144	×0.880	—	×0.978	0.56%

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 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.

Result: wOBA .324 → .266; ISO .079 → .064; BABIP .343 → .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).

2013 AATennessee Smokies · 110 PAwOBA .276 → .243 (−33)K% 20.0% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.968	×1.220	—	—	25.20%
BB% (unintentional) /PA	4.55%	÷1.060	×0.680	—	×0.998	2.91%
HBP% /PA	1.82%	—	×0.840	—	×0.998	1.52%
Singles /BIP	21.52%	÷0.990	×0.920	×1.002	×0.998	20.00%
Doubles /BIP	8.86%	÷0.970	×0.910	×1.002	×0.998	8.31%
Triples /BIP	1.27%	÷0.935	×0.880	×1.002	×0.998	1.19%
Home runs /BIP	0.00%	÷0.920	×0.800	—	×0.998	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 98, 2B 94, 3B 87, K 94, BB 112 — 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 ×1.002.

Result: wOBA .276 → .243; ISO .089 → .082; BABIP .312 → .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).

2013 AAAIowa Cubs · 30 PAwOBA .353 → .291 (−61)K% 16.7% → 21.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.004	×1.290	—	—	21.42%
BB% (unintentional) /PA	3.33%	÷1.000	×0.710	—	×1.033	2.44%
HBP% /PA	0.00%	—	×0.980	—	×1.033	0.00%
Singles /BIP	29.17%	÷1.009	×0.900	—	×1.033	26.88%
Doubles /BIP	12.50%	÷1.050	×0.810	—	×1.033	9.96%
Triples /BIP	0.00%	÷1.012	×0.810	—	×1.033	0.00%
Home runs /BIP	0.00%	÷1.130	×0.780	—	×1.033	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 126, 1B 102, 2B 110, 3B 102, K 101, BB 100 — 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 .353 → .291; ISO .103 → .078; BABIP .417 → .368. 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).

2012 APeoria Chiefs · 106 PAwOBA .310 → .251 (−59)K% 15.1% → 20.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.09%	÷1.010	×1.360	—	—	20.32%
BB% (unintentional) /PA	7.55%	÷1.053	×0.690	—	×0.980	4.85%
HBP% /PA	0.00%	—	×0.780	—	×0.980	0.00%
Singles /BIP	29.27%	÷1.013	×0.920	×1.013	×0.980	26.40%
Doubles /BIP	6.10%	÷1.062	×0.830	×1.013	×0.980	4.73%
Triples /BIP	0.00%	÷1.146	×0.910	×1.013	×0.980	0.00%
Home runs /BIP	0.00%	÷0.952	×0.800	—	×0.980	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 103, 2B 112, 3B 129, K 102, BB 111 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .310 → .251; ISO .051 → .038; BABIP .354 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .