Jacob Scavuzzo

PosLF

B/TR/R

Born1994-01-15

Age (2027)33

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	23	AALAD	294	.237/.279/.456	16	3	38	—	.176/.207/.305
2018	24	AAA/AA2 orgs	429	.258/.314/.523	26	12	67	—	.198/.243/.378
2019	25	AAACWS	204	.245/.300/.553	16	2	63	—	.182/.227/.385

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	18	ROK	AZL Dodgers	—	90	82	18	3	1	1	5	27	2	7	2	220	281	317	598	98	315	30	6	270	11	—	—	—	—	—	—
2013	19	ROK	Ogden Raptors	—	266	244	75	18	3	14	17	47	1	3	5	307	355	578	933	270	326	18	6	398	78	—	—	—	—	—	—
2014	20	A	Great Lakes Loons	—	444	402	84	18	4	5	32	126	6	17	4	209	277	311	588	102	290	28	7	266	26	—	—	—	—	—	—
2014	20	ROK	Ogden Raptors	—	48	45	13	6	0	1	3	10	0	2	0	289	333	489	822	200	353	21	6	361	47	—	—	—	—	—	—
2015	21	A+	Rancho Cucamonga Quakes	—	255	227	70	18	1	13	21	54	5	3	4	308	379	568	948	260	352	21	8	410	113	—	—	—	—	—	—
2015	21	A	Great Lakes Loons	—	227	214	56	14	3	5	7	45	3	4	1	262	295	425	720	164	305	20	3	313	53	—	—	—	—	—	—
2015	21	INTL	Glendale Desert Dogs	—	72	69	26	5	0	4	2	23	0	0	2	377	394	623	1.018	246	512	32	3	438	182	—	—	—	—	—	—
2016	22	AA	Tulsa Drillers	—	459	421	112	21	2	10	28	100	6	4	2	266	321	397	718	131	324	22	6	319	72	—	—	—	—	—	—
2017	23	AA	Tulsa Drillers	—	294	274	65	12	0	16	13	81	3	3	1	237	279	456	736	219	271	28	4	318	38	—	—	—	—	—	—
2018	24	AAA	Oklahoma City Dodgers	—	54	50	10	1	0	2	4	20	0	0	0	200	259	340	599	140	286	37	7	270	15	—	—	—	—	—	—
2018	24	AA	Tulsa Drillers	—	375	342	91	25	0	24	22	88	6	12	1	266	322	550	871	284	285	23	6	373	74	—	—	—	—	—	—
2019	25	AAA	Charlotte Knights	—	204	188	46	6	2	16	13	66	2	2	0	245	300	553	854	309	280	32	6	366	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	ROK MLE	AZL Dodgers	—	90	84	14	2	1	1	3	39	2	7	2	167	213	250	463	83	268	43	3	184	11	—	—	—	—	—	—
2013	19	ROK MLE	Ogden Raptors	—	266	251	55	12	2	10	10	68	1	3	5	219	252	402	654	183	253	26	4	283	78	—	—	—	—	—	—
2014	20	A MLE	Great Lakes Loons	—	444	412	69	14	3	4	22	158	6	17	4	167	220	245	466	78	254	36	5	206	26	—	—	—	—	—	—
2014	20	ROK MLE	Ogden Raptors	—	48	46	9	4	0	1	2	14	0	2	0	196	229	348	577	152	268	29	4	237	47	—	—	—	—	—	—
2015	21	A+ MLE	Rancho Cucamonga Quakes	—	255	232	59	13	1	13	16	75	5	3	4	254	316	487	803	233	306	29	6	335	113	—	—	—	—	—	—
2015	21	A MLE	Great Lakes Loons	—	227	217	45	10	3	4	4	59	3	4	1	207	232	336	569	129	256	26	2	247	53	—	—	—	—	—	—
2016	22	AA MLE	Tulsa Drillers	—	459	427	101	19	2	8	22	123	6	4	2	237	284	347	630	110	305	27	5	275	72	—	—	—	—	—	—
2017	23	AA MLE	Tulsa Drillers	—	294	279	49	9	0	9	8	103	3	3	1	176	207	305	512	129	229	35	3	225	38	—	—	—	—	—	—
2018	24	AAA MLE	Oklahoma City Dodgers	—	54	51	7	1	0	1	3	27	0	0	0	137	185	216	401	78	263	50	6	190	15	—	—	—	—	—	—
2018	24	AA MLE	Tulsa Drillers	—	375	349	72	20	0	16	15	111	6	12	1	206	251	401	652	195	239	30	4	278	74	—	—	—	—	—	—
2019	25	AAA MLE	Charlotte Knights	—	204	192	35	5	2	10	9	82	2	2	0	182	227	385	612	203	243	40	4	262	63	—	—	—	—	—	—
2012	18	ROK MLE	AZL Dodgers	—	90	84	14	2	1	1	3	39	2	7	2	167	213	250	463	83	295	43	3	184	11	—	—	—	—	—	—
2012	18	ROK RAW	AZL Dodgers	—	90	82	18	3	1	1	5	27	2	7	2	220	281	317	598	98	315	30	6	270	11	—	—	—	—	—	—
2013	19	ROK MLE	Ogden Raptors	—	266	251	55	12	2	10	10	68	1	3	5	219	252	402	654	183	254	26	4	283	78	—	—	—	—	—	—
2013	19	ROK RAW	Ogden Raptors	—	266	244	75	18	3	14	17	47	1	3	5	307	355	578	933	270	326	18	6	398	78	—	—	—	—	—	—
2014	20	A MLE	2 teams	—	492	458	79	18	3	5	24	172	6	19	4	172	223	258	481	85	262	35	5	209	28	—	—	—	—	—	—
2014	20	A RAW	2 teams	—	492	447	97	24	4	6	35	136	6	19	4	217	283	329	612	112	297	28	7	276	28	—	—	—	—	—	—
2015	21	A+ MLE	3 teams	—	554	517	120	27	4	20	23	153	8	7	7	232	276	416	691	184	286	28	4	294	85	—	—	—	—	—	—
2015	21	A+ RAW	3 teams	—	554	510	152	37	4	22	30	122	8	7	7	298	347	516	862	218	349	22	5	374	85	—	—	—	—	—	—
2016	22	AA MLE	Tulsa Drillers	—	459	427	101	19	2	8	22	123	6	4	2	237	284	347	630	110	310	27	5	275	72	—	—	—	—	—	—
2016	22	AA RAW	Tulsa Drillers	—	459	421	112	21	2	10	28	100	6	4	2	266	321	397	718	131	324	22	6	319	72	—	—	—	—	—	—
2017	23	AA MLE	Tulsa Drillers	—	294	279	49	9	0	9	8	103	3	3	1	176	207	305	512	129	234	35	3	225	38	—	—	—	—	—	—
2017	23	AA RAW	Tulsa Drillers	—	294	274	65	12	0	16	13	81	3	3	1	237	279	456	736	219	271	28	4	318	38	—	—	—	—	—	—
2018	24	AA MLE	2 teams	—	429	400	79	20	0	18	18	138	6	12	1	198	243	383	625	185	245	32	4	267	67	—	—	—	—	—	—
2018	24	AA RAW	2 teams	—	429	392	101	26	0	26	26	108	6	12	1	258	314	523	837	265	285	25	6	360	67	—	—	—	—	—	—
2019	25	AAA MLE	Charlotte Knights	—	204	192	35	5	2	10	9	82	2	2	0	182	227	385	612	203	248	40	4	262	63	—	—	—	—	—	—
2019	25	AAA RAW	Charlotte Knights	—	204	188	46	6	2	16	13	66	2	2	0	245	300	553	854	309	280	32	6	366	63	—	—	—	—	—	—
2012	18	ROK MLE	AZL Dodgers	—	90	85	14	2	1	1	3	39	2	7	2	165	213	247	461	82	268	43	3	184	11	—	—	—	—	—	—
2013	19	ROK MLE	Ogden Raptors	—	266	253	55	12	2	10	10	68	1	3	5	217	252	399	651	182	253	26	4	283	78	—	—	—	—	—	—
2014	20	A MLE	2 teams	—	492	459	79	18	3	5	24	172	6	19	4	172	223	257	480	85	255	35	5	209	28	—	—	—	—	—	—
2015	21	A+ MLE	3 teams	—	554	518	120	27	4	20	23	153	8	7	7	232	276	415	691	183	282	28	4	294	85	—	—	—	—	—	—
2016	22	AA MLE	Tulsa Drillers	—	459	428	101	19	2	8	22	123	6	4	2	236	284	346	629	110	305	27	5	275	72	—	—	—	—	—	—
2017	23	AA MLE	Tulsa Drillers	—	294	281	49	9	0	9	8	103	3	3	1	174	207	302	509	128	229	35	3	225	38	—	—	—	—	—	—
2018	24	AA MLE	2 teams	—	429	402	79	20	0	18	18	138	6	12	1	197	243	381	624	184	242	32	4	267	67	—	—	—	—	—	—
2019	25	AAA MLE	Charlotte Knights	—	204	191	35	5	2	10	9	82	2	2	0	183	227	387	614	204	243	40	4	262	63	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2788	2608	532	112	14	81	117	878	34	57	22	204	248	351	598	147	269	31	4	257	60	-132	+3	+0	-30	+60	-10.0
/ 162G	—	MLE		—	650	608	124	26	3	19	27	205	8	13	5	204	247	350	598	146	269	32	4	257	60	-31	+1	+0	-7	+14	-2.3

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 AAACharlotte Knights · 204 PAwOBA .357 → .262 (−95)K% 32.4% → 40.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.35%	÷0.962	×1.200	—	—	40.38%
BB% (unintentional) /PA	6.37%	÷1.077	×0.690	—	×1.033	4.22%
HBP% /PA	0.98%	—	×0.940	—	×1.033	0.95%
Singles /BIP	18.03%	÷1.061	×0.930	×0.978	×1.033	15.98%
Doubles /BIP	4.92%	÷0.921	×0.830	×0.978	×1.033	4.48%
Triples /BIP	1.64%	÷0.900	×0.970	×0.978	×1.033	1.79%
Home runs /BIP	13.11%	÷1.212	×0.840	—	×1.033	9.39%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — 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 ×0.978.

Result: wOBA .357 → .262; ISO .309 → .214; BABIP .280 → .243. 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 AATulsa Drillers · 375 PAwOBA .367 → .278 (−89)K% 23.5% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.47%	÷0.964	×1.220	—	—	29.71%
BB% (unintentional) /PA	5.87%	÷1.033	×0.700	—	×1.012	4.02%
HBP% /PA	1.60%	—	×0.870	—	×1.012	1.41%
Singles /BIP	16.54%	÷0.987	×0.920	×0.950	×1.012	14.82%
Doubles /BIP	9.84%	÷0.991	×0.840	×0.950	×1.012	8.02%
Triples /BIP	0.00%	÷0.907	×0.940	×0.950	×1.012	0.00%
Home runs /BIP	9.45%	÷1.147	×0.800	—	×1.012	6.67%

Factors used: league row TL. Park (home-season share, regressed): HR 129, 1B 97, 2B 98, 3B 81, K 93, BB 107 — 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 ×0.950.

Result: wOBA .367 → .278; ISO .284 → .199; BABIP .285 → .239. 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 AAAOklahoma City Dodgers · 54 PAwOBA .262 → .190 (−73)K% 37.0% → 49.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.04%	÷0.970	×1.290	—	—	49.28%
BB% (unintentional) /PA	7.41%	÷1.021	×0.710	—	×1.048	5.40%
HBP% /PA	0.00%	—	×0.980	—	×1.048	0.00%
Singles /BIP	23.33%	÷0.992	×0.900	—	×1.048	22.18%
Doubles /BIP	3.33%	÷1.029	×0.810	—	×1.048	2.75%
Triples /BIP	0.00%	÷1.020	×0.810	—	×1.048	0.00%
Home runs /BIP	6.67%	÷1.020	×0.780	—	×1.048	5.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 98, 2B 106, 3B 104, K 94, BB 104 — 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).

Result: wOBA .262 → .190; ISO .140 → .092; BABIP .286 → .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).

2017 AATulsa Drillers · 294 PAwOBA .311 → .225 (−87)K% 27.6% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.55%	÷0.955	×1.220	—	—	35.19%
BB% (unintentional) /PA	4.08%	÷1.058	×0.700	—	×1.027	2.77%
HBP% /PA	1.02%	—	×0.870	—	×1.027	0.91%
Singles /BIP	19.17%	÷1.005	×0.920	×0.950	×1.027	17.13%
Doubles /BIP	6.22%	÷1.000	×0.840	×0.950	×1.027	5.10%
Triples /BIP	0.00%	÷1.150	×0.940	×0.950	×1.027	0.00%
Home runs /BIP	8.29%	÷1.295	×0.800	—	×1.027	5.26%

Factors used: league row TL. Park (home-season share, regressed): HR 159, 1B 101, 2B 100, 3B 130, K 91, BB 112 — 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 ×0.950.

Result: wOBA .311 → .225; ISO .219 → .137; BABIP .271 → .229. 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 AATulsa Drillers · 459 PAwOBA .313 → .275 (−38)K% 21.8% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.79%	÷0.996	×1.220	—	—	26.68%
BB% (unintentional) /PA	6.10%	÷0.935	×0.700	—	×1.042	4.76%
HBP% /PA	1.31%	—	×0.870	—	×1.042	1.19%
Singles /BIP	24.61%	÷0.990	×0.920	×0.982	×1.042	23.41%
Doubles /BIP	6.54%	÷0.926	×0.840	×0.982	×1.042	6.07%
Triples /BIP	0.62%	÷0.900	×0.940	×0.982	×1.042	0.67%
Home runs /BIP	3.12%	÷1.020	×0.800	—	×1.042	2.55%

Factors used: league row TL. Park (home-season share, regressed): HR 104, 1B 98, 2B 85, 3B 80, K 99, BB 87 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.

Result: wOBA .313 → .275; ISO .131 → .111; BABIP .324 → .305. 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+Rancho Cucamonga Quakes · 255 PAwOBA .401 → .335 (−66)K% 21.2% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.18%	÷0.970	×1.340	—	—	29.26%
BB% (unintentional) /PA	8.24%	÷0.958	×0.710	—	×1.027	6.27%
HBP% /PA	1.96%	—	×0.790	—	×1.027	1.59%
Singles /BIP	21.97%	÷1.046	×0.910	×1.022	×1.027	20.06%
Doubles /BIP	10.40%	÷1.109	×0.820	×1.022	×1.027	8.07%
Triples /BIP	0.58%	÷1.150	×0.760	×1.022	×1.027	0.40%
Home runs /BIP	7.51%	÷0.898	×0.920	—	×1.027	7.90%

Factors used: league row CAL. Park (home-season share, regressed): HR 80, 1B 109, 2B 122, 3B 130, K 94, BB 92 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .401 → .335; ISO .260 → .230; BABIP .352 → .306. 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 AGreat Lakes Loons · 227 PAwOBA .307 → .247 (−60)K% 19.8% → 25.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.82%	÷1.039	×1.360	—	—	25.94%
BB% (unintentional) /PA	2.64%	÷1.028	×0.690	—	×1.015	1.80%
HBP% /PA	1.32%	—	×0.780	—	×1.015	1.05%
Singles /BIP	20.12%	÷1.028	×0.920	×0.950	×1.015	17.36%
Doubles /BIP	8.28%	÷1.026	×0.830	×0.950	×1.015	6.46%
Triples /BIP	1.78%	÷0.978	×0.910	×0.950	×1.015	1.59%
Home runs /BIP	2.96%	÷0.894	×0.800	—	×1.015	2.69%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 106, 2B 105, 3B 96, K 108, BB 106 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .307 → .247; ISO .164 → .134; BABIP .305 → .256. 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 AGreat Lakes Loons · 444 PAwOBA .258 → .206 (−53)K% 28.4% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.38%	÷1.083	×1.360	—	—	35.65%
BB% (unintentional) /PA	6.76%	÷0.973	×0.690	—	×1.030	4.93%
HBP% /PA	1.35%	—	×0.780	—	×1.030	1.09%
Singles /BIP	20.65%	÷1.017	×0.920	×0.972	×1.030	18.70%
Doubles /BIP	6.52%	÷1.022	×0.830	×0.972	×1.030	5.30%
Triples /BIP	1.45%	÷1.150	×0.910	×0.972	×1.030	1.15%
Home runs /BIP	1.81%	÷1.002	×0.800	—	×1.030	1.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 103, 2B 104, 3B 130, K 117, BB 95 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .258 → .206; ISO .102 → .078; BABIP .290 → .254. 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 — .