Anyesber Sivira

PosSS

B/TR/R

Born2000-01-09

Age (2027)27

No MLB projection yet. Career stats below are historical.

Overview

ALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	19	AATL	289	.229/.339/.298	2	5	50	—	.197/.287/.252
2021	21	ROKACL Giants Or…	21	.158/.238/.211	0	1	-18	—	.105/.190/.105
2022	22	A/ROK2 orgs	197	.302/.392/.462	6	2	75	—	.227/.299/.341

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)
2017	17	ROK	DSL Giants	—	235	194	43	6	1	0	23	17	15	20	11	222	349	263	612	41	240	7	10	293	27	—	—	—	—	—	—
2018	18	ROK	AZL Giants Orange	—	188	161	43	11	0	1	10	31	16	2	0	267	369	354	723	87	323	16	5	335	49	—	—	—	—	—	—
2019	19	A	Augusta GreenJackets	—	289	245	56	9	1	2	25	55	16	5	3	229	339	298	637	69	284	19	9	299	50	—	—	—	—	—	—
2021	21	ROK	ACL Giants Orange	—	21	19	3	1	0	0	0	4	2	1	0	158	238	211	449	53	200	19	0	217	-18	—	—	—	—	—	—
2022	22	A	San Jose Giants	—	159	135	39	5	1	4	14	37	7	2	2	289	385	430	814	141	365	23	9	362	74	—	—	—	—	—	—
2022	22	ROK	ACL Giants Black	—	38	34	12	0	1	2	4	8	0	0	0	353	421	588	1.009	235	417	21	11	440	79	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	17	ROK MLE	DSL Giants	—	235	201	32	4	1	0	16	21	15	20	11	159	272	189	461	30	165	9	7	208	27	—	—	—	—	—	—
2018	18	ROK MLE	AZL Giants Orange	—	188	165	33	8	0	1	6	45	16	2	0	200	294	267	561	67	253	24	3	241	49	—	—	—	—	—	—
2019	19	A MLE	Augusta GreenJackets	—	289	254	50	6	1	2	16	74	16	5	3	197	287	252	539	55	260	26	6	242	50	—	—	—	—	—	—
2021	21	ROK MLE	ACL Giants Orange	—	21	19	2	0	0	0	0	6	2	1	0	105	190	105	296		145	29	0	141	-18	—	—	—	—	—	—
2022	22	A MLE	San Jose Giants	—	159	140	32	4	1	3	9	53	7	2	2	229	308	336	643	107	325	33	6	278	74	—	—	—	—	—	—
2022	22	ROK MLE	ACL Giants Black	—	38	36	8	0	1	1	2	11	0	0	0	222	263	361	624	139	301	29	5	285	79	—	—	—	—	—	—
2017	17	ROK MLE	DSL Giants	—	235	201	32	4	1	0	16	21	15	20	11	159	272	189	461	30	176	9	7	208	27	—	—	—	—	—	—
2017	17	ROK RAW	DSL Giants	—	235	194	43	6	1	0	23	17	15	20	11	222	349	263	612	41	240	7	10	293	27	—	—	—	—	—	—
2018	18	ROK MLE	AZL Giants Orange	—	188	165	33	8	0	1	6	45	16	2	0	200	294	267	561	67	267	24	3	241	49	—	—	—	—	—	—
2018	18	ROK RAW	AZL Giants Orange	—	188	161	43	11	0	1	10	31	16	2	0	267	369	354	723	87	323	16	5	335	49	—	—	—	—	—	—
2019	19	A MLE	Augusta GreenJackets	—	289	254	50	6	1	2	16	74	16	5	3	197	287	252	539	55	267	26	6	242	50	—	—	—	—	—	—
2019	19	A RAW	Augusta GreenJackets	—	289	245	56	9	1	2	25	55	16	5	3	229	339	298	637	69	284	19	9	299	50	—	—	—	—	—	—
2021	21	ROK MLE	ACL Giants Orange	—	21	19	2	0	0	0	0	6	2	1	0	105	190	105	296		154	29	0	141	-18	—	—	—	—	—	—
2021	21	ROK RAW	ACL Giants Orange	—	21	19	3	1	0	0	0	4	2	1	0	158	238	211	449	53	200	19	0	217	-18	—	—	—	—	—	—
2022	22	A MLE	2 teams	—	197	175	41	4	2	4	12	65	7	2	2	234	309	349	658	114	343	33	6	279	75	—	—	—	—	—	—
2022	22	A RAW	2 teams	—	197	169	51	5	2	6	18	45	7	2	2	302	392	462	853	160	375	23	9	377	75	—	—	—	—	—	—
2017	17	ROK MLE	DSL Giants	—	235	202	32	4	1	0	16	21	15	20	11	158	272	188	460	30	165	9	7	208	27	—	—	—	—	—	—
2018	18	ROK MLE	AZL Giants Orange	—	188	164	33	8	0	1	6	45	16	2	0	201	294	268	562	67	253	24	3	241	49	—	—	—	—	—	—
2019	19	A MLE	Augusta GreenJackets	—	289	255	50	6	1	2	16	74	16	5	3	196	287	251	538	55	260	26	6	242	50	—	—	—	—	—	—
2021	21	ROK MLE	ACL Giants Orange	—	21	19	2	0	0	0	0	6	2	1	0	105	190	105	296		145	29	0	141	-18	—	—	—	—	—	—
2022	22	A MLE	2 teams	—	197	176	41	4	2	4	12	65	7	2	2	233	309	347	656	114	320	33	6	279	75	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	930	814	158	22	4	7	50	211	56	30	16	194	287	257	544	63	250	23	5	239	48	-58	-0	+0	+10	+20	-2.9
/ 162G	—	MLE		—	650	569	110	15	3	5	35	147	39	21	11	193	286	257	543	63	249	23	5	239	48	-40	-0	+0	+7	+14	-2.0

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.

2022 ASan Jose Giants · 159 PAwOBA .357 → .278 (−79)K% 23.3% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.27%	÷0.943	×1.360	—	—	33.55%
BB% (unintentional) /PA	8.81%	÷1.055	×0.690	—	—	5.76%
HBP% /PA	4.40%	—	×0.780	—	—	3.43%
Singles /BIP	29.59%	÷0.983	×0.920	×0.971	—	26.89%
Doubles /BIP	5.10%	÷0.957	×0.830	×0.971	—	4.30%
Triples /BIP	1.02%	÷0.900	×0.910	×0.971	—	1.00%
Home runs /BIP	4.08%	÷1.063	×0.800	—	—	3.07%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 91, 3B 80, K 89, BB 111 — 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 ×0.971.

Result: wOBA .357 → .278; ISO .141 → .105; BABIP .365 → .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).

2022 ROKACL Giants Black · 38 PAwOBA .428 → .285 (−143)K% 21.1% → 30.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷1.002	×1.440	—	—	30.25%
BB% (unintentional) /PA	10.53%	÷0.983	×0.620	—	×0.975	6.47%
HBP% /PA	0.00%	—	×0.720	—	×0.975	0.00%
Singles /BIP	34.62%	÷1.081	×0.820	—	×0.975	25.60%
Doubles /BIP	0.00%	÷0.921	×0.720	—	×0.975	0.00%
Triples /BIP	3.85%	÷0.940	×0.720	—	×0.975	2.87%
Home runs /BIP	7.69%	÷1.073	×0.780	—	×0.975	5.45%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 116, 2B 84, 3B 88, K 100, BB 97 — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).

Result: wOBA .428 → .285; ISO .235 → .156; BABIP .417 → .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).

2021 ROKACL Giants Orange · 21 PAwOBA .212 → .141 (−70)K% 19.0% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷1.005	×1.440	—	—	27.30%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.985	0.00%
HBP% /PA	9.52%	—	×0.720	—	×0.985	6.75%
Singles /BIP	13.33%	÷0.971	×0.820	—	×0.985	11.09%
Doubles /BIP	6.67%	÷1.369	×0.720	—	×0.985	3.45%
Triples /BIP	0.00%	÷1.150	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷1.065	×0.780	—	×0.985	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 94, 2B 174, 3B 130, K 101, BB 100 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .212 → .141; ISO .053 → .025; BABIP .200 → .145. 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 AAugusta GreenJackets · 289 PAwOBA .294 → .242 (−52)K% 19.0% → 25.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.03%	÷0.997	×1.340	—	—	25.58%
BB% (unintentional) /PA	8.65%	÷1.050	×0.660	—	×1.045	5.68%
HBP% /PA	5.54%	—	×0.770	—	×1.045	4.45%
Singles /BIP	23.16%	÷0.958	×0.920	×0.950	×1.045	22.08%
Doubles /BIP	4.74%	÷1.108	×0.820	×0.950	×1.045	3.48%
Triples /BIP	0.53%	÷0.909	×0.940	×0.950	×1.045	0.54%
Home runs /BIP	1.05%	÷1.082	×0.820	—	×1.045	0.83%

Factors used: league row SAL. Park (home-season share, regressed): HR 116, 1B 92, 2B 122, 3B 82, K 99, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .294 → .242; ISO .069 → .054; BABIP .284 → .260. 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 ROKAZL Giants Orange · 188 PAwOBA .329 → .241 (−88)K% 16.5% → 23.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.49%	÷1.000	×1.440	—	—	23.74%
BB% (unintentional) /PA	5.32%	÷1.000	×0.620	—	×1.022	3.37%
HBP% /PA	8.51%	—	×0.720	—	×1.022	6.27%
Singles /BIP	23.85%	÷1.000	×0.820	×0.965	×1.022	19.30%
Doubles /BIP	8.46%	÷1.000	×0.720	×0.965	×1.022	6.01%
Triples /BIP	0.00%	÷1.000	×0.720	×0.965	×1.022	0.00%
Home runs /BIP	0.77%	÷1.000	×0.780	—	×1.022	0.61%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .329 → .241; ISO .087 → .061; BABIP .323 → .253. 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 DSLDSL Giants · 235 PAwOBA .289 → .208 (−82)K% 7.2% → 8.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.23%	÷1.000	×1.220	—	—	8.83%
BB% (unintentional) /PA	9.79%	÷1.000	×0.700	—	×1.022	7.01%
HBP% /PA	6.38%	—	×0.700	—	×1.022	4.57%
Singles /BIP	20.34%	÷1.000	×0.680	×1.005	×1.022	14.21%
Doubles /BIP	3.39%	÷1.000	×0.600	×1.005	×1.022	2.09%
Triples /BIP	0.56%	÷1.000	×0.600	×1.005	×1.022	0.35%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .289 → .208; ISO .041 → .027; BABIP .240 → .165. 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).