William Bergolla Jr.

2B Charlotte Knights

Age 22 L/R 5'9" / 165 lbs AAA HR +4% Svc 0.0 · Ctrl thru 2032

Overview

AAAPROSPECTPre-ArbFA 2033

OGV OFP40OGV rank#274ETA2029MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	A+CWS	357	.300/.365/.381	1	27	81	—	.280/.325/.352
2025	20	AACWS	551	.286/.343/.333	0	40	88	—	.308/.348/.356
2026	21	AAACWS	43	.457/.500/.571	0	2	183	—	.447/.500/.553
2027PROJ10% MLB	22	MLBCWS	21	.267/.310/.323	0	1	79	0.0
2028PROJ38% MLB	23	MLBCWS	130	.271/.316/.347	1	6	87	0.2
2029PROJ48% MLB	24	MLBCWS	234	.274/.321/.364	3	10	93	0.5

Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.0First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$3M2031Arb-2$6M2032Arb-3$8M

Skills · percentileMiLB Statcast 2026 AAA

K%96

Whiff%96

Z-Con%88

Chase%86

BB%66

Speed35

Career WAR0.1 WAR median (P10 -0.4 / P90 16, comp-based) · star 5% · didn't stick 67%

CompsJosh Anderson (age 23) · Ender Inciarte (age 23) · Ben Revere (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†79

AVG/OBP/SLG.267 / .310 / .323

PA21

HR0

K%10

BB%5

BABIP290

ISO50

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$2M ctrl surplus

Tools · ContractCON 60 / POW 25

Toolsscout grade

CONTACT60

scouting grade only

POWER25

scouting grade only

EYE30

scouting grade only

SPEED60

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.0	$0.1M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2030	Arb-1	$3M	+0.6	$2M	+$0.0M (cut)
2031	Arb-2	$6M	+0.7	$2M	+$0.0M (cut)
2032	Arb-3	$8M	+0.7	$2M	+$0.0M (cut)
Totals		$2M		$8M	+$1M

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)
2022	17	ROK	DSL Phillies White	—	83	71	27	3	0	0	11	3	1	2	3	380	470	423	892	42	397	4	13	409	81	—	—	—	—	—	—
2023	18	A	Clearwater Threshers	—	228	192	49	2	2	0	30	17	0	2	5	255	356	286	642	31	275	7	13	296	66	—	—	—	—	—	—
2024	19	A+	Winston-Salem Dash	—	357	310	93	12	5	1	29	38	3	27	6	300	365	381	746	81	332	11	8	325	81	—	—	—	—	—	—
2025	20	AA	Birmingham Barons	—	551	486	139	19	2	0	37	26	5	40	11	286	343	333	676	47	301	5	7	297	88	—	—	—	—	—	—
2026	21	AAA	Charlotte Knights	—	43	35	16	4	0	0	5	4	0	2	2	457	500	571	1.071	114	516	9	12	453	183	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Phillies White	—	83	75	20	2	0	0	7	4	1	2	3	267	337	293	631	27	281	5	8	288	81	—	—	—	—	—	—
2023	18	A MLE	Clearwater Threshers	—	228	201	49	2	2	0	21	23	0	2	5	244	315	274	589	30	260	10	9	266	66	—	—	—	—	—	—
2024	19	A+ MLE	Winston-Salem Dash	—	357	321	90	10	5	1	18	52	3	27	6	280	325	352	677	72	305	15	5	288	81	—	—	—	—	—	—
2025	20	AA MLE	Birmingham Barons	—	551	497	153	20	2	0	26	31	5	40	11	308	348	356	705	48	310	6	5	299	88	—	—	—	—	—	—
2026	21	AAA MLE	Charlotte Knights	—	43	38	17	4	0	0	4	5	0	2	2	447	500	553	1.053	105	490	12	9	438	183	—	—	—	—	—	—
2022	17	ROK MLE	DSL Phillies White	—	83	75	20	2	0	0	7	4	1	2	3	267	337	293	631	27	282	5	8	288	81	—	—	—	—	—	—
2022	17	ROK RAW	DSL Phillies White	—	83	71	27	3	0	0	11	3	1	2	3	380	470	423	892	42	397	4	13	409	81	—	—	—	—	—	—
2023	18	A MLE	Clearwater Threshers	—	228	201	49	2	2	0	21	23	0	2	5	244	315	274	589	30	271	10	9	266	66	—	—	—	—	—	—
2023	18	A RAW	Clearwater Threshers	—	228	192	49	2	2	0	30	17	0	2	5	255	356	286	642	31	275	7	13	296	66	—	—	—	—	—	—
2024	19	A+ MLE	Winston-Salem Dash	—	357	321	90	10	5	1	18	52	3	27	6	280	325	352	677	72	325	15	5	288	81	—	—	—	—	—	—
2024	19	A+ RAW	Winston-Salem Dash	—	357	310	93	12	5	1	29	38	3	27	6	300	365	381	746	81	332	11	8	325	81	—	—	—	—	—	—
2025	20	AA MLE	Birmingham Barons	—	551	497	153	20	2	0	26	31	5	40	11	308	348	356	705	48	327	6	5	299	88	—	—	—	—	—	—
2025	20	AA RAW	Birmingham Barons	—	551	486	139	19	2	0	37	26	5	40	11	286	343	333	676	47	301	5	7	297	88	—	—	—	—	—	—
2026	21	AAA MLE	Charlotte Knights	—	43	38	17	4	0	0	4	5	0	2	2	447	500	553	1.053	105	515	12	9	438	183	—	—	—	—	—	—
2026	21	AAA RAW	Charlotte Knights	—	43	35	16	4	0	0	5	4	0	2	2	457	500	571	1.071	114	516	9	12	453	183	—	—	—	—	—	—
2022	17	ROK MLE	DSL Phillies White	—	83	75	20	2	0	0	7	4	1	2	3	267	337	293	631	27	281	5	8	288	81	—	—	—	—	—	—
2023	18	A MLE	Clearwater Threshers	—	228	205	49	2	2	0	21	23	0	2	5	239	315	268	584	29	260	10	9	266	66	—	—	—	—	—	—
2024	19	A+ MLE	Winston-Salem Dash	—	357	333	90	10	5	1	18	52	3	27	6	270	325	339	664	69	305	15	5	288	81	—	—	—	—	—	—
2025	20	AA MLE	Birmingham Barons	—	551	515	153	20	2	0	26	31	5	40	11	297	348	344	692	47	310	6	5	299	88	—	—	—	—	—	—
2026	21	AAA MLE	Charlotte Knights	—	43	39	17	4	0	0	4	5	0	2	2	436	500	538	1.038	103	490	12	9	438	183	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A+ MLE	Winston-Salem Dash	—	357	333	90	10	5	1	18	52	3	27	6	270	325	339	664	69	305	15	5	288	81	—	—	—	—	—	—
2025	20	AA MLE	Birmingham Barons	—	551	515	153	20	2	0	26	31	5	40	11	297	348	344	692	47	310	6	5	299	88	—	—	—	—	—	—
2026	21	AAA MLE	Charlotte Knights	—	43	39	17	4	0	0	4	5	0	2	2	436	500	538	1.038	103	490	12	9	438	183	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	CWS	10%	468	437	116	19	2	0	24	40	4	20	6	266	310	322	631	55	290	9	5	285	79	-12	+2	+0	+2	+10	0.2
▸ 2027 — real world (MLB)
2027	22	MLB CTX	CWS	10%	21	20	5	1	0	0	1	2	0	1	0	267	310	323	633	56	290	10	5	286	79	-1	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	CWS	38%	338	314	85	14	1	2	18	30	3	15	5	271	316	345	661	75	291	9	5	298	87	-5	+1	+0	+1	+7	0.5
2029	24	MLB MLE	CWS	48%	486	452	123	20	2	5	27	45	4	21	7	274	320	363	683	89	292	9	6	306	93	-4	+1	+0	+2	+11	1.0
2030	25	MLB MLE	CWS	53%	496	460	126	20	2	7	29	49	4	22	7	274	323	373	696	98	292	10	6	311	97	-2	+2	+0	+2	+11	1.2
2031	26	MLB MLE	CWS	55%	499	462	126	20	2	8	30	52	4	22	7	274	323	378	702	104	292	10	6	314	98	-1	+2	+0	+2	+11	1.3
2032	27	MLB MLE	CWS	54%	495	458	124	20	2	8	30	55	4	21	7	271	322	377	699	106	292	11	6	313	98	-1	+1	+0	+2	+11	1.3
2033	28	MLB MLE	CWS	54%	488	451	122	20	2	8	30	56	4	18	6	270	320	372	693	103	291	11	6	310	96	-2	+1	-1	+2	+11	1.1
2034	29	MLB MLE	CWS	53%	479	443	118	19	2	7	29	56	4	16	5	267	318	366	684	99	290	12	6	306	93	-4	+1	-1	+2	+10	0.8
2035	30	MLB MLE	CWS	52%	468	434	114	18	2	6	28	56	3	12	5	264	314	358	672	94	289	12	6	302	90	-5	+0	-2	+2	+10	0.5
2036	31	MLB MLE	CWS	52%	399	369	96	15	1	5	24	49	3	7	3	260	309	349	658	89	286	12	6	295	86	-7	+0	-3	+1	+9	0.1
2037	32	MLB MLE	CWS	52%	377	350	89	14	1	4	22	48	2	4	2	255	303	336	639	82	283	13	6	288	81	-9	+0	-4	+1	+8	-0.3
2028	23	MLB CTX	CWS	38%	130	121	33	5	1	1	7	11	1	6	2	271	316	347	663	75	291	8	5	298	87	-2	+0	+0	+0	+3	0.2
2029	24	MLB CTX	CWS	48%	234	217	60	10	1	3	13	22	2	10	3	274	321	364	685	90	292	9	6	307	93	-2	+1	+0	+1	+5	0.5
2030	25	MLB CTX	CWS	53%	261	242	67	11	1	4	15	26	2	11	4	275	323	375	698	100	293	10	6	312	97	-1	+1	+0	+1	+6	0.6
2031	26	MLB CTX	CWS	55%	273	253	68	11	1	4	16	29	2	12	4	274	324	380	704	106	293	11	6	315	98	-1	+1	+0	+1	+6	0.7
2032	27	MLB CTX	CWS	54%	270	249	67	11	1	4	17	30	2	11	4	272	323	379	702	107	292	11	6	314	98	-1	+1	+0	+1	+6	0.7
2033	28	MLB CTX	CWS	54%	265	245	66	11	1	4	16	30	2	10	3	270	321	374	695	104	292	11	6	311	96	-1	+1	-0	+1	+6	0.6
2034	29	MLB CTX	CWS	53%	255	236	63	10	1	4	15	30	2	8	3	268	318	368	686	100	291	12	6	307	93	-2	+0	-1	+1	+6	0.4
2035	30	MLB CTX	CWS	52%	245	226	60	10	1	3	15	29	2	7	2	265	315	360	675	95	289	12	6	303	90	-3	+1	-1	+1	+5	0.3
2036	31	MLB CTX	CWS	52%	208	193	51	8	1	3	12	26	1	4	2	261	310	350	660	90	287	12	6	296	86	-3	+0	-1	+1	+5	0.0
2037	32	MLB CTX	CWS	52%	195	181	46	7	1	2	11	25	1	2	1	255	303	338	641	83	283	13	6	289	81	-4	+0	-2	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2336	2163	581	94	10	32	137	258	17	81	28	269	317	366	683	97	292	11	6	306	91	-20	+5	-5	+8	+51	3.9
/ 162G	—	A+C		—	650	602	162	26	3	9	38	72	5	23	8	269	318	367	685	98	292	11	6	306	91	-6	+1	-2	+2	+14	1.1
Career	—	MLE		—	5997	5520	1504	226	27	61	354	629	46	240	84	272	322	356	678	84	297	10	6	302	91	-45	+11	-10	+17	+103	7.6
/ 162G	—	MLE		—	650	598	163	24	3	7	38	68	5	26	9	273	321	358	679	85	297	10	6	302	91	-6	+1	-1	+2	+14	1.0

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.

2026 AAACharlotte Knights · 43 PAwOBA .442 → .438 (−3)K% 9.3% → 11.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.30%	÷1.000	×1.200	—	—	11.16%
BB% (unintentional) /PA	11.63%	÷1.000	×0.690	—	×1.050	8.42%
HBP% /PA	0.00%	—	×0.940	—	×1.050	0.00%
Singles /BIP	38.71%	÷1.000	×0.930	—	×1.050	37.80%
Doubles /BIP	12.90%	÷1.000	×0.830	—	×1.050	11.25%
Triples /BIP	0.00%	÷1.000	×0.970	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.000	×0.700	—	×1.050	0.00%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average).

Result: wOBA .442 → .438; ISO .114 → .111; BABIP .516 → .490. 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).

2025 AABirmingham Barons · 551 PAwOBA .291 → .299 (+8)K% 4.7% → 5.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	4.72%	÷1.020	×1.220	—	—	5.65%
BB% (unintentional) /PA	6.72%	÷1.020	×0.680	—	×1.050	4.70%
HBP% /PA	0.91%	—	×0.840	—	×1.050	0.80%
Singles /BIP	25.65%	÷0.954	×0.920	×1.027	×1.050	26.69%
Doubles /BIP	4.13%	÷0.984	×0.910	×1.027	×1.050	4.12%
Triples /BIP	0.43%	÷1.150	×0.880	×1.027	×1.050	0.36%
Home runs /BIP	0.00%	÷0.784	×0.800	—	×1.050	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 57, 1B 91, 2B 97, 3B 130, K 104, BB 104 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .291 → .299; ISO .047 → .049; BABIP .301 → .310. 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).

2024 A+Winston-Salem Dash · 357 PAwOBA .322 → .288 (−34)K% 10.6% → 14.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.64%	÷0.952	×1.310	—	—	14.65%
BB% (unintentional) /PA	8.12%	÷1.006	×0.600	—	×1.042	5.05%
HBP% /PA	0.84%	—	×0.770	—	×1.042	0.67%
Singles /BIP	27.57%	÷0.972	×0.870	×1.008	×1.042	25.91%
Doubles /BIP	4.41%	÷1.070	×0.780	×1.008	×1.042	3.38%
Triples /BIP	1.84%	÷0.929	×0.850	×1.008	×1.042	1.77%
Home runs /BIP	0.37%	÷0.817	×0.880	—	×1.042	0.41%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 63, 1B 94, 2B 114, 3B 86, K 90, BB 101 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .322 → .288; ISO .081 → .075; BABIP .332 → .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).

2023 AClearwater Threshers · 228 PAwOBA .291 → .266 (−26)K% 7.5% → 9.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	7.46%	÷1.020	×1.360	—	—	9.94%
BB% (unintentional) /PA	12.72%	÷0.972	×0.690	—	×1.045	9.44%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	25.71%	÷0.965	×0.920	×0.956	×1.045	24.50%
Doubles /BIP	1.14%	÷1.002	×0.830	×0.956	×1.045	0.95%
Triples /BIP	1.14%	÷1.056	×0.910	×0.956	×1.045	0.98%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 93, 2B 100, 3B 111, K 104, BB 94 — 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 ×0.956.

Result: wOBA .291 → .266; ISO .031 → .028; BABIP .275 → .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).

2022 DSLDSL Phillies White · 83 PAwOBA .396 → .288 (−108)K% 3.6% → 4.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	3.61%	÷0.961	×1.220	—	—	4.59%
BB% (unintentional) /PA	12.05%	÷1.033	×0.700	—	×1.008	8.23%
HBP% /PA	1.20%	—	×0.700	—	×1.008	0.85%
Singles /BIP	35.29%	÷0.991	×0.680	×1.039	×1.008	25.35%
Doubles /BIP	4.41%	÷1.018	×0.600	×1.039	×1.008	2.72%
Triples /BIP	0.00%	÷1.090	×0.600	×1.039	×1.008	0.00%
Home runs /BIP	0.00%	÷0.849	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 98, 2B 104, 3B 118, K 92, BB 107 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .396 → .288; ISO .042 → .027; BABIP .397 → .281. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Horace Clarke'65-'74 * career totals — 10 seasons, 5,242 PA	7.9	5,242	27	151	264*	314*	351*	+20	+26	13.3	13.4
/162	664	3	19	+2.6	+3.3	1.7	pk7: 14
#2Kazuo Matsuilast yr '10 career totals — 7 seasons, 2,555 PA	3.8	2,555	32	102	267	321	380	+13	+5	9.3	9.3
/162	664	8	27	+3.3	+1.2	2.4	pk7: 9
#3Jerry Remy'75-'84 * career totals — 10 seasons, 4,963 PA	7.5	4,963	7	208	272*	328*	353*	+16	+7	8.4	9.1
/162	664	1	28	+2.2	+0.9	1.1	pk7: 10
#4Damaso Garcia'78-'89 * career totals — 9 seasons, 4,124 PA	6.2	4,124	36	203	279*	310*	391*	+13	+8	6.8	8.1
/162	664	6	33	+2.1	+1.4	1.1	pk7: 9
#5Jon Bertilast yr '25 career totals — 7 seasons, 1,716 PA	2.6	1,716	24	107	256	333	356	+11	+5	7.1	7.1
/162	664	9	41	+4.3	+1.8	2.8	pk7: 7
#6Emilio Bonifáciolast yr '15 career totals — 8 seasons, 2,780 PA	4.2	2,780	13	165	259	315	337	+15	-1	5.5	5.9
/162	664	3	39	+3.5	-0.1	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,356	32	82	270	315	365	+8	+5	5.8	5.5
/162	664	9	23	+2.4	+1.4	1.6	pk7: 5

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
William Bergolla Jr. (OGILVIE)	22	60	25	60	30	264/307/319	55	290	0	9	9%	5%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Josh Anderson 2006 · AA	23	55→63	36→40	60	42	257/292/329	72	309	2	33	18%	4%	76	-0.4	273/308/345	72	323	3	32	16%	4%	85	+0.2	284/319/355	72	333	3	35	15%	4%	89	+0.6
●Ender Inciarte 2014 · AA	23	54→62	37→45	59→60	47	252/293/330	78	288	4	29	14%	5%	76	-0.4	271/312/359	88	306	6	24	13%	5%	90	+0.6	292/338/390	98	325	7	19	12%	6%	107	+1.9
✕Ben Revere 2011 · MLB	23	62→64	36→40	58→65	49	290/339/356	66	326	2	32	12%	6%	99	+1.3	280/319/332	52	313	1	36	10%	5%	86	+0.3	300/329/359	59	330	1	38	9%	4%	96	+0.9
✕Brandon Roberts 2008 · AA	23	56→61	37→40	54→55	44	262/308/333	71	318	4	22	19%	5%	82	+0.0	261/312/333	72	315	4	19	17%	5%	84	+0.2	277/332/344	68	330	4	22	16%	5%	92	+0.4
✕Nick Madrigal 2020 · AAA	23	57→59	38→40	52→50	51	264/313/345	81	272	4	23	5%	5%	88	+0.4	270/319/350	80	291	4	14	8%	5%	91	+0.6	276/328/363	87	304	3	10	10%	5%	97	+0.5
●Dee Strange-Gordon 2011 · AA	23	56→66	36→40	61→65	43	262/300/336	75	320	3	34	19%	4%	80	-0.1	260/302/328	68	320	2	46	18%	5%	79	-0.2	311/342/389	78	362	3	52	14%	4%	108	+1.9
✕Alexi Amarista 2011 · AAA	22	57→62	40→45	53→55	46	271/312/374	103	309	5	18	14%	5%	94	+0.9	246/283/351	105	284	6	15	15%	5%	78	-0.3	239/277/346	107	274	6	13	15%	5%	74	-0.4
✕Alexi Casilla 2006 · AAA	22	57→65	37→40	58→60	48	268/319/341	73	307	5	32	14%	6%	88	+0.5	268/320/339	71	312	4	29	14%	6%	88	+0.5	267/322/334	67	308	4	27	14%	7%	86	+0.3
✕Zack Granite 2017 · AA	24	54→61	36→40	59→60	48	253/298/324	71	290	3	30	14%	6%	77	-0.3	250/294/327	77	282	4	24	12%	6%	76	-0.4	247/289/316	70	276	4	22	12%	5%	69	-0.7
✕Brian Miller 2019 · AA	23	56→58	35→40	55→60	44	263/297/329	67	312	1	26	16%	4%	77	-0.3	239/279/312	73	300	3	24	20%	5%	67	-1.1	237/286/320	83	308	4	34	23%	6%	69	-0.6
●Xavier Edwards 2022 · AA	22	56→66	35→40	52→60	49	260/311/327	66	308	2	21	16%	7%	82	+0.0	270/326/353	83	323	5	25	17%	8%	94	+0.9	308/366/390	82	353	4	36	13%	8%	116	+2.2
✕Nicky Lopez 2018 · AA	23	52→62	38→40	52→55	50	244/298/325	81	275	5	16	14%	6%	78	-0.3	257/310/345	88	290	6	11	13%	7%	86	+0.3	264/325/346	82	304	4	14	13%	8%	92	+0.6
✕Chris Getz 2007 · AA	23	54→56	36→40	52→60	52	250/301/320	70	273	3	14	10%	7%	77	-0.3	260/312/350	90	291	7	18	13%	7%	88	+0.5	268/325/363	95	301	7	23	13%	7%	95	+0.7
✕José Peraza 2016 · MLB	22	57→67	38→45	64→65	42	270/292/354	83	305	4	36	13%	3%	81	-0.1	270/303/358	88	306	6	27	14%	4%	86	+0.3	275/311/366	91	307	8	25	13%	4%	91	+0.7
✕Hak-Ju Lee 2013 · AA	22	53→59	38→40	59→55	46	250/303/339	90	320	4	24	22%	7%	82	+0.0	226/285/311	85	308	5	23	26%	7%	70	-0.9	201/259/269	69	292	5	20	31%	7%	48	-1.2
✕Brandon Watson 2006 · MLB	24	60→64	36→40	52→55	47	283/322/345	62	322	3	27	13%	5%	90	+0.6	279/309/342	63	318	3	19	13%	4%	84	+0.2	288/314/349	61	325	3	15	12%	3%	85	+0.1
✕Kyle Wren 2015 · AA	24	56→62	36→40	60	45	261/303/339	77	319	2	32	18%	5%	82	-0.0	253/304/319	66	314	2	28	19%	7%	78	-0.3	254/314/331	77	325	3	25	21%	8%	82	-0.0
✕Tony Gwynn Jr. 2006 · AA	23	53→57	36→40	52→60	53	246/313/315	69	292	2	23	16%	8%	81	-0.1	253/303/322	69	312	3	25	19%	6%	78	-0.3	246/318/329	82	292	4	29	16%	9%	86	+0.2
●Corey Wimberly 2006 · A	22	57→65	34→40	51→65	44	270/308/321	51	312	2	23	14%	4%	80	-0.2	267/318/325	58	313	3	39	15%	5%	85	+0.2	278/336/362	84	316	2	33	12%	4%	98	+0.6
✕Carlos Figueroa 2015 · AAA	23	59→66	37→30	53→55	50	280/330/350	70	328	5	26	16%	7%	95	+0.9	279/317/335	56	351	3	24	20%	5%	86	+0.3	288/322/330	43	365	1	28	20%	5%	83	+0.1

William Bergolla Jr.

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps