Sabin Ceballos

3B Richmond Flying Squirrels

Age 24 R/R 6'2" / 236 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

OGV OFP35OGV rank#1164ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	21	A+/INTL2 orgs	534	.267/.358/.401	10	9	69	—	.219/.292/.329
2025	22	AA/INTL2 orgs	468	.228/.325/.333	7	5	64	—	.214/.295/.295
2026	23	AASF	504	.227/.358/.398	18	11	76	—	.199/.300/.336
2027PROJMLE	24	MLBSF	4	.212/.298/.324	0	0	82	0.0
2028PROJ39% MLB	25	MLBSF	101	.214/.300/.329	2	1	84	0.1
2029PROJ56% MLB	26	MLBSF	170	.215/.301/.332	3	2	85	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$0.2M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 AA

K%84

BB%83

Whiff%74

ISO63

wRC+62

Z-Con%61

Career WAR0.0 WAR median (P10 -0.2 / P90 2.6, comp-based) · star 2% · didn't stick 88%

CompsOrlando Mercado (age 24) · Abrahan Gutierrez (age 24) · Alika Williams (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†82

AVG/OBP/SLG.212 / .298 / .324

PA4

HR0

K%25

BB%9

BABIP258

ISO108

MLB%2%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$0.2M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.0M

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)
2023	20	A	Augusta GreenJackets	—	35	32	9	0	0	1	3	11	0	0	0	281	343	375	718	94	400	31	9	326	54	—	—	—	—	—	—
2023	20	ROK	FCL Braves	—	15	8	3	0	0	0	6	3	1	2	0	375	667	375	1.042		600	20	40	509	151	—	—	—	—	—	—
2024	21	A+	Eugene Emeralds	—	517	450	121	30	1	10	52	104	11	9	6	269	359	407	765	138	326	20	10	344	69	—	—	—	—	—	—
2024	21	INTL	Indios de Mayaguez	—	17	14	3	0	0	0	2	5	1	0	0	214	353	214	567		333	29	12	285	79	—	—	—	—	—	—
2025	22	AA	Richmond Flying Squirrels	—	420	358	83	20	0	6	47	73	8	4	3	232	334	338	672	106	273	17	11	306	65	—	—	—	—	—	—
2025	22	INTL	Gigantes de Carolina	—	48	45	9	1	0	1	3	9	0	1	2	200	250	289	539	89	229	19	6	246	52	—	—	—	—	—	—
2026	23	AA	Richmond Flying Squirrels	—	504	415	94	17	0	18	72	90	13	11	2	227	358	398	756	171	245	18	14	342	76	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	20	A MLE	Augusta GreenJackets	—	35	33	8	0	0	1	2	15	0	0	0	242	286	333	619	91	385	43	6	248	54	—	—	—	—	—	—
2023	20	ROK MLE	FCL Braves	—	15	10	3	0	0	0	4	4	1	2	0	300	533	300	833		496	27	27	391	151	—	—	—	—	—	—
2024	21	A+ MLE	Eugene Emeralds	—	517	465	102	25	1	8	37	145	11	9	6	219	292	329	621	110	288	28	7	270	69	—	—	—	—	—	—
2025	22	AA MLE	Richmond Flying Squirrels	—	420	370	79	18	0	4	35	87	8	4	3	214	295	295	590	81	261	21	8	265	65	—	—	—	—	—	—
2026	23	AA MLE	Richmond Flying Squirrels	—	504	437	87	15	0	15	50	110	13	11	2	199	300	336	636	137	223	22	10	280	76	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	50	43	11	0	0	1	6	19	1	2	0	256	360	326	686	70	435	38	12	291	83	—	—	—	—	—	—
2023	20	A RAW	2 teams	—	50	40	12	0	0	1	9	14	1	2	0	300	440	375	815	75	440	28	18	381	83	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	534	480	105	26	1	8	38	150	12	9	6	219	292	327	620	108	298	28	7	270	69	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	534	464	124	30	1	10	54	109	12	9	6	267	358	401	759	134	327	20	10	342	69	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	468	414	89	20	0	5	39	97	8	5	5	215	295	300	595	85	267	21	8	265	65	—	—	—	—	—	—
2025	22	AA RAW	2 teams	—	468	403	92	21	0	7	50	82	8	5	5	228	325	333	658	104	268	18	11	300	65	—	—	—	—	—	—
2026	23	AA MLE	Richmond Flying Squirrels	—	504	437	87	15	0	15	50	110	13	11	2	199	300	336	636	137	229	22	10	280	76	—	—	—	—	—	—
2026	23	AA RAW	Richmond Flying Squirrels	—	504	415	94	17	0	18	72	90	13	11	2	227	358	398	756	171	245	18	14	342	76	—	—	—	—	—	—
2023	20	A MLE	2 teams	—	50	43	11	0	0	1	6	19	1	2	0	256	360	326	686	70	418	38	12	291	83	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	534	479	105	26	1	8	38	150	12	9	6	219	292	328	620	109	288	28	7	270	69	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	468	418	89	20	0	5	39	97	8	5	5	213	295	297	592	84	261	21	8	265	65	—	—	—	—	—	—
2026	23	AA MLE	Richmond Flying Squirrels	—	504	436	87	15	0	15	50	110	13	11	2	200	300	337	637	138	223	22	10	280	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	21	A+ MLE	2 teams	—	534	479	105	26	1	8	38	150	12	9	6	219	292	328	620	109	288	28	7	270	69	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	468	418	89	20	0	5	39	97	8	5	5	213	295	297	592	84	261	21	8	265	65	—	—	—	—	—	—
2026	23	AA MLE	Richmond Flying Squirrels	—	504	436	87	15	0	15	50	110	13	11	2	200	300	337	637	138	223	22	10	280	76	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	SF	2%	380	336	72	15	0	8	34	84	7	5	2	215	301	332	634	117	261	22	9	289	82	-8	+0	+1	+1	+8	0.3
▸ 2027 — real world (MLB)
2027	24	MLB CTX	SF	2%	4	4	1	0	0	0	0	1	0	0	0	212	298	324	622	112	258	25	0	284	82	-0	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	SF	39%	260	230	50	10	0	6	23	57	5	3	1	218	303	339	642	121	263	22	9	292	84	-5	+0	+1	+1	+6	0.3
2029	26	MLB MLE	SF	56%	305	268	59	12	0	7	28	67	6	4	1	219	304	342	646	123	264	22	9	293	85	-6	+0	+1	+1	+7	0.4
2030	27	MLB MLE	SF	62%	321	283	61	12	0	7	29	71	6	4	1	219	304	342	646	123	265	22	9	293	85	-6	+0	+1	+1	+7	0.4
2031	28	MLB MLE	SF	65%	328	289	63	13	0	7	30	74	6	3	1	218	303	341	644	122	265	23	9	292	84	-6	+0	+1	+1	+7	0.3
2032	29	MLB MLE	SF	64%	321	284	61	12	0	7	29	73	5	2	1	217	301	338	638	120	265	23	9	290	82	-7	+0	-0	+1	+7	0.1
2033	30	MLB MLE	SF	64%	314	278	60	12	0	7	28	72	5	2	1	214	297	329	626	115	262	23	9	285	79	-8	+0	-1	+1	+7	-0.1
2028	25	MLB CTX	SF	39%	101	89	19	4	0	2	9	22	2	1	0	214	300	329	629	116	259	22	9	287	84	-2	+0	+0	+0	+2	0.1
2029	26	MLB CTX	SF	56%	170	150	32	7	0	3	15	38	3	2	1	215	301	332	633	117	260	22	9	288	85	-3	+0	+1	+1	+4	0.2
2030	27	MLB CTX	SF	62%	198	175	38	8	0	4	18	44	3	2	1	215	301	333	633	118	261	22	9	288	85	-4	+0	+1	+1	+4	0.2
2031	28	MLB CTX	SF	65%	212	187	39	8	0	4	19	48	4	2	1	215	299	331	631	117	261	23	9	287	84	-4	+0	+0	+1	+5	0.2
2032	29	MLB CTX	SF	64%	207	184	39	8	0	4	18	47	3	2	1	213	297	328	625	115	261	23	9	285	82	-4	+0	-0	+1	+4	0.1
2033	30	MLB CTX	SF	64%	202	179	38	8	0	4	18	47	3	1	1	210	293	320	614	110	259	23	9	280	79	-5	-0	-1	+1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1090	964	205	43	0	21	97	246	18	10	5	213	297	323	619	110	262	23	9	286	78	-22	+0	+2	+4	+24	0.7
/ 162G	—	A+C		—	650	575	123	26	0	13	58	147	11	6	3	214	299	327	626	113	263	23	9	286	78	-13	+0	+1	+2	+14	0.4
Career	—	MLE		—	3615	3191	685	140	1	74	319	837	71	48	20	215	300	329	629	114	265	23	9	283	78	-42	+1	+4	+7	+45	1.6
/ 162G	—	MLE		—	650	574	123	25	0	13	57	150	13	9	4	214	300	326	625	111	265	23	9	283	78	-13	+0	+1	+2	+14	0.5

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.

2026 AARichmond Flying Squirrels · 504 PAwOBA .335 → .280 (−55)K% 17.9% → 21.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.86%	÷1.000	×1.220	—	—	21.79%
BB% (unintentional) /PA	14.09%	÷1.000	×0.700	—	×1.012	9.98%
HBP% /PA	2.58%	—	×0.850	—	×1.012	2.22%
Singles /BIP	18.15%	÷1.000	×0.970	×0.962	×1.012	17.13%
Doubles /BIP	5.23%	÷1.000	×0.860	×0.962	×1.012	4.38%
Triples /BIP	0.00%	÷1.000	×0.950	×0.962	×1.012	0.00%
Home runs /BIP	5.54%	÷1.000	×0.780	—	×1.012	4.37%

Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.962.

Result: wOBA .335 → .280; ISO .171 → .140; BABIP .245 → .223. 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 AARichmond Flying Squirrels · 420 PAwOBA .300 → .265 (−35)K% 17.4% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.38%	÷1.018	×1.220	—	—	20.84%
BB% (unintentional) /PA	11.19%	÷0.962	×0.700	—	×1.027	8.36%
HBP% /PA	1.90%	—	×0.850	—	×1.027	1.66%
Singles /BIP	20.00%	÷1.004	×0.970	×0.996	×1.027	19.78%
Doubles /BIP	7.02%	÷0.992	×0.860	×0.996	×1.027	6.23%
Triples /BIP	0.00%	÷1.150	×0.950	×0.996	×1.027	0.00%
Home runs /BIP	2.11%	÷1.183	×0.780	—	×1.027	1.43%

Factors used: league row EL. Park (home-season share, regressed): HR 137, 1B 101, 2B 98, 3B 130, K 104, BB 92 — 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 ×0.996.

Result: wOBA .300 → .265; ISO .106 → .085; BABIP .273 → .261. 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+Eugene Emeralds · 517 PAwOBA .338 → .270 (−67)K% 20.1% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.12%	÷0.968	×1.350	—	—	28.07%
BB% (unintentional) /PA	10.06%	÷1.024	×0.710	—	×1.012	7.06%
HBP% /PA	2.13%	—	×0.810	—	×1.012	1.74%
Singles /BIP	23.12%	÷1.016	×0.910	×0.988	×1.012	20.71%
Doubles /BIP	8.67%	÷0.950	×0.830	×0.988	×1.012	7.58%
Triples /BIP	0.29%	÷1.150	×0.820	×0.988	×1.012	0.21%
Home runs /BIP	2.89%	÷1.010	×0.830	—	×1.012	2.40%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 103, 2B 90, 3B 130, K 94, BB 105 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.

Result: wOBA .338 → .270; ISO .138 → .110; BABIP .326 → .288. 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 AAugusta GreenJackets · 35 PAwOBA .318 → .248 (−70)K% 31.4% → 43.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.43%	÷0.990	×1.360	—	—	43.18%
BB% (unintentional) /PA	8.57%	÷0.967	×0.690	—	×1.015	6.21%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	38.10%	÷0.961	×0.920	—	×1.015	37.01%
Doubles /BIP	0.00%	÷1.063	×0.830	—	×1.015	0.00%
Triples /BIP	0.00%	÷0.900	×0.910	—	×1.015	0.00%
Home runs /BIP	4.76%	÷0.976	×0.800	—	×1.015	3.96%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 92, 2B 113, 3B 80, K 98, BB 93 — 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).

Result: wOBA .318 → .248; ISO .094 → .066; BABIP .400 → .385. 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 ROKFCL Braves · 15 PAwOBA .500 → .391 (−109)K% 20.0% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.020	×1.440	—	—	28.23%
BB% (unintentional) /PA	40.00%	÷0.958	×0.620	—	×0.985	25.50%
HBP% /PA	6.67%	—	×0.720	—	×0.985	4.73%
Singles /BIP	60.00%	÷0.977	×0.820	—	×0.985	49.58%
Doubles /BIP	0.00%	÷0.882	×0.720	—	×0.985	0.00%
Triples /BIP	0.00%	÷0.928	×0.720	—	×0.985	0.00%
Home runs /BIP	0.00%	÷0.893	×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 79, 1B 95, 2B 76, 3B 86, K 104, BB 92 — 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 .500 → .391; ISO .000 → .000; BABIP .600 → .496. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Rene Gonzales'84-'97 * career totals — 8 seasons, 1,756 PA	2.6	1,756	19	23	236*	311*	337*	+4	+11	1.9	2.8
/162	664	7	9	+1.6	+4.2	0.7	pk7: 4
#3Chris Woodward'99-'11 * career totals — 9 seasons, 1,896 PA	2.9	1,896	33	9	230*	288*	354*	+9	+15	1.1	2.4
/162	664	12	3	+3.1	+5.4	0.4	pk7: 4
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.6	1,094	24	11	218	299	340	+4	+8	1.2	1.2
/162	664	15	6	+2.4	+4.9	0.7	pk7: 1
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

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
Sabin Ceballos (OGILVIE)	24	—	—	—	—	213/299/329	116	261	4	3	22%	9%	82	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Orlando Mercado 2009 · AA	24	44	42→45	39→40	57	215/308/316	101	247	10	4	17%	11%	81	-0.1	231/299/304	73	267	5	4	14%	8%	74	-0.6	234/295/297	64	268	4	2	14%	8%	69	-0.5
✕Abrahan Gutierrez 2024 · AA	24	44→41	42→45	43→40	46	214/283/317	104	276	10	4	25%	8%	72	-0.7	219/267/300	81	280	6	5	23%	5%	61	-1.5	225/261/287	62	286	4	2	22%	4%	51	-0.5
✕Alika Williams 2023 · AAA	24	42→45	42→45	43→45	44	210/266/307	97	266	10	7	25%	6%	62	-1.4	225/280/328	103	288	9	7	24%	6%	72	-0.7	245/294/352	106	307	8	5	22%	5%	80	-0.1
✕Luis Vázquez 2024 · AAA	24	46→47	46→45	42→50	42	227/286/351	124	297	14	10	28%	6%	80	-0.1	228/285/350	122	302	13	11	28%	6%	80	-0.2	221/274/331	110	296	12	13	28%	5%	67	-0.4
✕Adam Donachie 2008 · AA	24	42	45	41→30	46	213/279/334	121	275	14	2	27%	8%	74	-0.6	194/261/285	91	265	9	3	28%	8%	56	-1.9	171/241/257	87	234	9	0	29%	8%	41	-1.3
✕Quincy McAfee 2022 · AA	24	42	43→45	48→45	50	206/300/320	113	269	10	10	25%	9%	79	-0.2	193/276/313	120	251	12	8	27%	8%	69	-0.9	178/260/298	120	224	14	8	26%	7%	57	-1.0
✕Renae Martinez 2018 · A	24	45→31	43→45	40	44	222/275/329	108	272	12	5	23%	6%	71	-0.8	211/271/317	106	281	10	3	27%	6%	67	-1.1	190/256/297	106	260	11	2	30%	7%	54	-1.1
✕Zack Short 2019 · AA	24	40→39	47→50	47→45	51	202/293/345	143	270	14	9	29%	11%	82	+0.0	198/291/335	137	280	14	7	32%	10%	79	-0.2	177/277/302	125	240	14	9	31%	11%	66	-0.8
✕Alsander Womack 2023 · A	24	46→47	44→45	44→45	47	230/287/335	106	275	12	7	21%	7%	77	-0.3	221/284/305	84	277	8	9	22%	7%	69	-0.9	215/283/285	70	269	7	8	22%	7%	61	-0.8
✕Adam Fox 2006 · AA	24	44→43	43→45	46→45	49	219/282/327	108	252	12	10	18%	7%	73	-0.6	218/270/334	116	263	11	8	21%	6%	70	-0.8	212/260/332	120	258	14	7	24%	5%	63	-0.9
✕Tyler Ogle 2015 · A	24	45→43	45→50	39→30	54	224/311/349	125	271	13	3	22%	10%	90	+0.6	211/282/359	148	263	18	3	26%	8%	81	-0.1	192/263/353	161	229	22	0	27%	8%	71	-0.4
✕Yusniel Díaz 2021 · AA	24	47→54	47→45	42→50	47	232/295/371	139	295	14	7	25%	8%	88	+0.4	203/264/311	108	285	11	9	31%	7%	63	-1.4	203/270/314	111	271	13	9	29%	8%	64	-0.7
✕Clay Harris 2007 · A	24	41→44	44→45	43→30	47	206/278/322	116	266	11	2	26%	8%	71	-0.8	228/300/357	129	272	14	2	21%	8%	87	+0.4	234/310/367	133	268	15	0	18%	8%	92	+0.4
✕Jacob Wilson 2015 · AA	25	44→48	46→50	43→40	46	221/280/353	133	261	13	5	21%	6%	79	-0.2	197/257/323	126	244	14	4	25%	6%	63	-1.3	220/285/374	154	261	17	1	22%	7%	84	+0.1
✕Andrew Navigato 2022 · AA	24	41	44→55	46→50	45	204/280/319	115	283	11	13	30%	8%	72	-0.7	220/279/374	154	275	17	14	26%	6%	84	+0.1	218/278/389	170	267	20	17	26%	6%	83	+0.1
✕Walter Sevilla 2006 · A	24	44	44→45	41→45	49	217/282/333	116	263	11	7	22%	8%	74	-0.5	205/264/303	98	264	8	7	24%	7%	60	-1.6	173/230/257	84	223	5	4	24%	7%	34	-1.2
✕Austin Davidson 2017 · A	24	44→42	44→45	43→45	48	216/287/333	117	252	11	6	19%	7%	76	-0.4	221/281/332	111	278	9	6	23%	7%	74	-0.6	214/275/321	107	273	9	5	23%	7%	67	-0.7
✕Luca Tresh 2024 · AA	24	40→42	47→50	43→40	46	207/272/339	131	258	16	4	26%	8%	72	-0.7	210/264/345	135	277	15	4	29%	6%	70	-0.8	208/257/339	131	282	15	2	31%	5%	64	-0.8
✕Clint Coulter 2017 · AA	24	43	44→50	43→40	42	212/276/331	119	268	11	4	25%	6%	72	-0.7	205/262/325	120	283	11	4	31%	5%	65	-1.2	200/266/338	137	245	16	4	25%	5%	67	-0.4
✕Luis Carpio 2021 · AA	24	46→43	41→45	38→50	47	222/285/321	99	280	8	7	23%	8%	72	-0.7	207/265/299	92	292	7	10	30%	7%	60	-1.6	191/250/276	84	273	7	10	31%	7%	46	-1.3

Sabin Ceballos

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps