Kleiver Chauran

2B FCL Rays

Age 21 S/R 5'11" / 165 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1585ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKTB	177	.221/.377/.343	1	4	36	—	.134/.263/.195
2025	19	ROKDSL Tampa Bay	215	.289/.488/.388	2	32	74	—	.183/.346/.237
2026	20	ROKTB	225	.285/.468/.400	2	23	74	—	.205/.338/.292
2027PROJMLE	21	MLBTB	335	.206/.298/.287	3	8	70	0.0
2028PROJ34% MLB	22	MLBTB	56	.214/.305/.308	1	1	76	-0.0
2029PROJ48% MLB	23	MLBTB	120	.218/.308/.321	2	3	80	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Speed94

BB%90

wRC+84

wOBA80

K%52

ISO50

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsNasim Nuñez (age 20) · Chandler Simpson (age 22) · Candido Pimentel (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 120 proj PA

wRC+†70

AVG/OBP/SLG.204 / .295 / .285

PA120

HR1

K%27

BB%10

ISO82

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$5M ctrl surplus

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED60

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.2M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$0.8M	+$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	17	ROK	DSL Tampa Bay	—	189	158	40	8	1	1	27	38	3	7	4	253	372	335	708	82	325	20	14	329	33	—	—	—	—	—	—
2024	18	ROK	DSL Rays	—	177	140	31	8	3	1	31	43	4	4	1	221	377	343	720	121	306	24	18	333	36	—	—	—	—	—	—
2025	19	ROK	DSL Tampa Bay	—	215	152	44	9	0	2	52	33	7	32	5	289	488	388	876	99	353	15	24	405	74	—	—	—	—	—	—
2026	20	ROK	FCL Rays	—	225	165	47	3	5	2	51	47	6	23	3	285	468	400	868	115	381	21	23	398	74	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tampa Bay	—	189	166	27	4	1	0	19	46	3	7	4	163	261	199	459	36	219	24	10	217	33	—	—	—	—	—	—
2024	18	ROK MLE	DSL Rays	—	177	149	20	5	2	0	22	52	4	4	1	134	263	195	457	60	198	29	12	222	36	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	215	169	31	6	0	1	35	40	7	32	5	183	346	237	583	53	224	19	16	278	74	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	225	185	38	2	4	2	31	68	6	23	3	205	338	292	630	86	288	30	14	278	74	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	189	166	27	4	1	0	19	46	3	7	4	163	261	199	459	36	223	24	10	217	33	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tampa Bay	—	189	158	40	8	1	1	27	38	3	7	4	253	372	335	708	82	325	20	14	329	33	—	—	—	—	—	—
2024	18	ROK MLE	DSL Rays	—	177	149	20	5	2	0	22	52	4	4	1	134	263	195	457	60	202	29	12	222	36	—	—	—	—	—	—
2024	18	ROK RAW	DSL Rays	—	177	140	31	8	3	1	31	43	4	4	1	221	377	343	720	121	306	24	18	333	36	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	215	169	31	6	0	1	35	40	7	32	5	183	346	237	583	53	231	19	16	278	74	—	—	—	—	—	—
2025	19	ROK RAW	DSL Tampa Bay	—	215	152	44	9	0	2	52	33	7	32	5	289	488	388	876	99	353	15	24	405	74	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	225	185	38	2	4	2	31	68	6	23	3	205	338	292	630	86	308	30	14	278	74	—	—	—	—	—	—
2026	20	ROK RAW	FCL Rays	—	225	165	47	3	5	2	51	47	6	23	3	285	468	400	868	115	381	21	23	398	74	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tampa Bay	—	189	165	27	4	1	0	19	46	3	7	4	164	261	200	461	36	219	24	10	217	33	—	—	—	—	—	—
2024	18	ROK MLE	DSL Rays	—	177	149	20	5	2	0	22	52	4	4	1	134	263	195	457	60	198	29	12	222	36	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	215	171	31	6	0	1	35	40	7	32	5	181	346	234	580	53	224	19	16	278	74	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	225	186	38	2	4	2	31	68	6	23	3	204	338	290	628	86	288	30	14	278	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Rays	—	177	149	20	5	2	0	22	52	4	4	1	134	263	195	457	60	198	29	12	222	36	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tampa Bay	—	215	171	31	6	0	1	35	40	7	32	5	181	346	234	580	53	224	19	16	278	74	—	—	—	—	—	—
2026	20	ROK MLE	FCL Rays	—	225	186	38	2	4	2	31	68	6	23	3	204	338	290	628	86	288	30	14	278	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	TB	0%	335	294	62	11	3	3	34	89	4	8	2	206	298	287	585	82	283	27	10	271	70	-12	+1	+0	+1	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	TB	34%	162	143	30	5	1	2	16	43	2	4	1	211	303	306	609	95	284	27	10	280	76	-5	+0	+0	+1	+4	-0.0
2029	23	MLB MLE	TB	48%	248	218	47	8	2	4	25	64	3	6	1	216	306	320	626	105	286	26	10	286	80	-6	+1	+0	+1	+5	0.1
2030	24	MLB MLE	TB	53%	332	292	63	11	2	5	33	85	4	8	2	219	308	331	639	111	287	26	10	291	83	-7	+1	+0	+1	+7	0.3
2031	25	MLB MLE	TB	55%	379	333	74	13	3	7	38	97	5	9	2	221	310	337	647	116	287	26	10	294	85	-7	+1	+0	+1	+8	0.4
2032	26	MLB MLE	TB	56%	406	358	80	14	3	8	40	103	5	10	2	223	310	342	652	119	287	25	10	296	86	-7	+1	+0	+1	+9	0.5
2033	27	MLB MLE	TB	55%	418	368	81	14	3	8	42	106	5	10	2	221	309	339	648	118	287	25	10	295	85	-7	+1	+0	+1	+9	0.5
2034	28	MLB MLE	TB	55%	419	369	80	14	3	7	42	108	5	9	2	219	307	334	641	115	286	26	10	292	84	-8	+1	-1	+1	+9	0.3
2035	29	MLB MLE	TB	53%	412	363	79	14	3	7	41	107	5	8	2	217	304	328	632	111	284	26	10	288	81	-9	+1	-1	+1	+9	0.1
2036	30	MLB MLE	TB	53%	401	355	75	13	3	6	39	105	4	7	2	214	301	320	620	106	282	26	10	283	78	-11	+1	-2	+1	+9	-0.2
2028	22	MLB CTX	TB	34%	56	49	11	2	0	1	6	15	1	1	0	214	305	308	612	94	288	27	11	281	76	-2	+0	+0	+0	+1	-0.0
2029	23	MLB CTX	TB	48%	120	105	23	4	1	2	12	31	2	3	1	218	308	321	629	103	289	26	10	288	80	-3	+0	+0	+0	+3	0.0
2030	24	MLB CTX	TB	53%	175	153	34	6	1	3	18	45	2	4	1	221	310	331	642	110	291	26	10	292	83	-3	+0	+0	+1	+4	0.1
2031	25	MLB CTX	TB	55%	207	181	42	7	2	4	21	53	3	5	1	223	312	338	650	115	291	26	10	295	85	-4	+1	+0	+1	+4	0.2
2032	26	MLB CTX	TB	56%	226	198	45	8	2	4	23	57	3	5	1	225	312	342	654	118	291	25	10	297	86	-4	+1	+0	+1	+5	0.3
2033	27	MLB CTX	TB	55%	230	202	46	8	2	4	23	59	3	5	1	223	311	339	650	116	290	26	10	296	85	-4	+1	+0	+1	+5	0.2
2034	28	MLB CTX	TB	55%	229	201	45	8	2	4	23	59	3	5	1	222	309	335	644	113	289	26	10	293	84	-4	+1	-0	+1	+5	0.2
2035	29	MLB CTX	TB	53%	220	193	43	7	2	4	22	57	3	4	1	219	306	328	634	109	288	26	10	289	81	-5	+0	-1	+1	+5	0.0
2036	30	MLB CTX	TB	53%	211	186	40	7	1	3	21	55	2	4	1	216	302	320	623	104	286	26	10	284	78	-6	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1674	1468	329	57	13	29	169	431	22	36	8	224	313	340	653	116	295	26	10	292	77	-34	+4	-2	+6	+36	1.0
/ 162G	—	A+C		—	650	570	127	22	5	11	66	167	9	14	3	223	314	337	651	114	294	26	10	292	77	-13	+2	-1	+2	+14	0.4
Career	—	MLE		—	4103	3573	747	127	31	58	435	1056	60	140	30	209	305	311	616	102	277	26	11	282	77	-70	+8	-4	+12	+71	1.7
/ 162G	—	MLE		—	650	566	118	20	5	9	69	167	10	22	5	208	306	309	615	101	277	26	11	282	77	-14	+2	-1	+2	+14	0.3

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.

2026 ROKFCL Rays · 225 PAwOBA .393 → .278 (−115)K% 20.9% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.89%	÷1.000	×1.440	—	—	30.08%
BB% (unintentional) /PA	22.67%	÷1.000	×0.620	—	×0.985	13.84%
HBP% /PA	2.67%	—	×0.720	—	×0.985	1.89%
Singles /BIP	31.36%	÷1.000	×0.820	×0.961	×0.985	24.33%
Doubles /BIP	2.54%	÷1.000	×0.720	×0.961	×0.985	1.73%
Triples /BIP	4.24%	÷1.000	×0.720	×0.961	×0.985	2.89%
Home runs /BIP	1.69%	÷1.000	×0.780	—	×0.985	1.30%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .393 → .278; ISO .115 → .084; BABIP .381 → .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).

2025 DSLDSL Tampa Bay · 215 PAwOBA .400 → .278 (−122)K% 15.3% → 18.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.35%	÷1.005	×1.220	—	—	18.64%
BB% (unintentional) /PA	24.19%	÷1.011	×0.700	—	×0.985	16.49%
HBP% /PA	3.26%	—	×0.700	—	×0.985	2.24%
Singles /BIP	27.73%	÷1.054	×0.680	×1.010	×0.985	17.79%
Doubles /BIP	7.56%	÷0.944	×0.600	×1.010	×0.985	4.78%
Triples /BIP	0.00%	÷1.150	×0.600	×1.010	×0.985	0.00%
Home runs /BIP	1.68%	÷0.952	×0.470	—	×0.985	0.82%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 111, 2B 89, 3B 130, K 101, BB 102 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.010.

Result: wOBA .400 → .278; ISO .099 → .064; BABIP .353 → .224. 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 DSLDSL Rays · 177 PAwOBA .330 → .222 (−108)K% 24.3% → 29.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.29%	÷1.004	×1.220	—	—	29.51%
BB% (unintentional) /PA	17.51%	÷0.985	×0.700	—	×0.995	12.39%
HBP% /PA	2.26%	—	×0.700	—	×0.995	1.57%
Singles /BIP	19.59%	÷0.994	×0.680	×1.003	×0.995	13.38%
Doubles /BIP	8.25%	÷1.053	×0.600	×1.003	×0.995	4.69%
Triples /BIP	3.09%	÷0.900	×0.600	×1.003	×0.995	2.06%
Home runs /BIP	1.03%	÷1.160	×0.470	—	×0.995	0.42%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 99, 2B 111, 3B 80, K 101, BB 97 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .330 → .222; ISO .121 → .072; BABIP .306 → .198. 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 DSLDSL Tampa Bay · 189 PAwOBA .323 → .217 (−106)K% 20.1% → 24.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.11%	÷0.999	×1.220	—	—	24.55%
BB% (unintentional) /PA	14.29%	÷1.025	×0.700	—	×1.008	9.83%
HBP% /PA	1.59%	—	×0.700	—	×1.008	1.12%
Singles /BIP	25.00%	÷0.963	×0.680	×1.004	×1.008	17.85%
Doubles /BIP	6.67%	÷1.106	×0.600	×1.004	×1.008	3.66%
Triples /BIP	0.83%	÷1.061	×0.600	×1.004	×1.008	0.48%
Home runs /BIP	0.83%	÷1.121	×0.470	—	×1.008	0.35%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 93, 2B 121, 3B 112, K 100, BB 105 — 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 ×1.004.

Result: wOBA .323 → .217; ISO .082 → .044; BABIP .325 → .219. 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
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Adam 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
#4Rene 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.7	1,794	30	40	219	304	330	+6	+6	2.3	2.2
/162	664	11	15	+2.4	+2.2	0.9	pk7: 2
#5Scott 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
#6Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3

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
Kleiver Chauran (OGILVIE)	21	50	25	60	60	204/295/285	81	283	1	3	27%	10%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Chandler Simpson 2023 · A	22	48→58	38→30	56→70	48	226/293/312	85	299	4	17	24%	8%	73	-0.6	267/311/317	50	307	1	59	12%	6%	80	-0.2	302/334/348	46	335	0	63	9%	5%	94	+0.8
✕Candido Pimentel 2010 · A	20	45	35→30	53→55	54	207/295/272	65	273	2	17	23%	11%	65	-1.2	211/275/265	54	294	2	15	26%	8%	55	-1.9	234/284/275	41	327	1	17	27%	6%	57	-0.7
✕Wilmer Difo 2013 · A	21	45→55	35→45	56→55	51	206/275/270	64	257	1	20	19%	8%	57	-1.8	237/283/340	103	288	8	22	20%	6%	76	-0.4	258/296/362	104	307	8	28	18%	4%	82	+0.0
✕Noah Miller 2024 · A	21	40→47	38→40	51→50	47	191/267/270	79	268	5	11	29%	9%	55	-2.0	217/269/299	82	278	6	6	23%	7%	61	-1.5	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Jorge Barrosa 2021 · A	20	46→52	38→45	55	45	218/283/303	84	283	5	18	24%	6%	68	-1.0	233/297/347	114	294	9	19	23%	7%	83	+0.1	234/307/360	127	282	11	18	20%	9%	86	+0.3
✕Brent Keys 2012 · A	22	46→56	35→30	51→50	48	215/287/274	58	284	3	14	24%	8%	63	-1.4	272/328/340	68	307	3	12	12%	7%	92	+0.7	282/343/338	56	313	2	12	10%	8%	94	+0.6
✕Shawn O'Malley 2009 · A	21	45→55	35→40	50→60	42	210/272/271	61	292	2	19	27%	6%	56	-1.9	226/306/285	59	305	2	26	24%	8%	72	-0.7	259/320/356	97	321	5	23	20%	7%	91	+0.4
✕Danny Mars 2015 · A	21	43→53	40	54→55	43	210/262/297	87	274	7	15	26%	6%	58	-1.7	238/279/308	70	311	4	19	23%	5%	66	-1.1	257/294/328	70	338	3	19	24%	4%	73	-0.4
✕Derrik Gibson 2011 · A	21	44→54	35→40	55	46	205/269/266	61	272	2	21	24%	7%	53	-2.1	213/271/270	57	291	2	17	25%	7%	55	-2.0	246/312/318	73	319	3	11	22%	8%	79	-0.1
✕Joseph Rosa 2018 · A	21	46→45	37→40	52→50	46	216/268/293	77	264	4	16	19%	6%	59	-1.7	200/263/272	72	289	5	10	30%	7%	53	-2.1	206/281/301	95	299	7	14	31%	8%	65	-0.8
✕Frainyer Chavez 2019 · A	20	46→47	38→40	54→50	42	217/271/293	76	299	5	21	28%	6%	61	-1.5	207/269/264	57	287	2	13	26%	7%	53	-2.1	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Dru Baker 2022 · A	22	45→55	38→40	56→60	41	213/265/295	82	297	4	14	29%	6%	59	-1.7	241/298/346	105	336	10	30	29%	7%	83	+0.1	250/304/340	90	346	8	39	28%	6%	80	-0.1
✕Willmer De La Cruz 2024 · A	21	42	36→30	50→55	46	191/277/255	64	298	3	15	34%	10%	55	-1.9	197/272/263	66	330	3	13	37%	9%	55	-2.0	162/255/195	33	292	0	21	40%	10%	30	-0.8
✕Louis Ott 2007 · A	22	44→48	36→30	52→45	40	203/263/271	68	301	3	10	32%	6%	53	-2.1	225/294/293	68	316	4	6	28%	8%	70	-0.9	229/306/286	56	325	4	5	28%	9%	70	-0.4
✕Luis Mendez 2014 · A	21	45	36→30	52→50	45	211/271/281	70	270	3	13	22%	6%	58	-1.7	212/274/269	57	285	2	12	24%	6%	56	-1.9	209/265/268	59	274	4	10	24%	6%	50	-1.2
✕Abiezel Ramirez 2021 · A	21	43	38→40	54→55	44	205/266/286	81	277	4	14	26%	7%	57	-1.8	189/254/294	105	346	10	13	44%	8%	55	-1.9	165/238/268	103	295	10	15	44%	8%	41	-1.2
✕Lucius Fox 2017 · A	20	42→50	38→40	55→60	43	198/264/277	79	283	5	20	30%	7%	55	-2.0	217/285/288	71	314	4	22	30%	7%	65	-1.2	194/260/277	83	283	8	24	32%	8%	50	-0.9
✕Everth Cabrera 2007 · A	20	45→55	34→40	50→65	47	205/280/257	52	296	2	16	29%	9%	56	-1.9	230/296/310	80	318	4	27	26%	8%	74	-0.6	266/331/350	84	338	3	54	21%	8%	94	+0.7
✕Raynel Delgado 2021 · A	21	47→56	37→40	50→60	42	220/272/295	75	312	4	9	30%	7%	61	-1.5	203/267/292	89	295	7	14	31%	7%	59	-1.6	246/311/338	92	338	7	32	27%	8%	82	+0.0

Kleiver Chauran

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps