Keibert Ruiz

C Washington Nationals

Age 29 S/R 5'11" / 238 lbs MLB Svc 4.372 · Ctrl thru 2030

Overview

MLB40-MANExtFA 2029

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	26	MLBWSH	485	.229/.262/.359	13	3	71	0.3
2025	27	MLBWSH	267	.247/.278/.318	2	0	67	-0.6
2026	28	MLBWSH	354	.280/.319/.443	10	2	110	2.1
2027PROJ	29	MLBWSH	361	.246/.285/.377	8	2	84	0.2
2028PROJ	30	MLBWSH	367	.243/.281/.369	7	1	81	-0.2
2029PROJ	31	MLBWSH	341	.238/.276/.359	7	1	76	-0.4

Last 3 seasons WAR 1.8 · Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2030Service4.372First FA2029Options3

2027Ext$6M2028Ext$6M2029Ext$6M2030Ext$6M

Skills · percentileStatcast 2024-2026

Whiff%90

Chase%74

xwOBA31

Avg EV15

Barrel%14

Speed10

Form.254/.281/.395 ▲ rolling true talent (60d window) · proj .245/.282/.375

CompsKevin Flores (age 29) · Enrique Wilson (age 29) · Toby Hall (age 29)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 8484vR 84

AVG/OBP/SLG.246 / .285 / .377

PA361

HR8

K%12

BB%4

BABIP259

ISO132

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$22M ctrl surplus

Tools · Recent Form · Splits · ContractCON 55 / POW 35

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT55

Whiff%

904.1%

xAVG

530.254

POWER35

Barrel%

143.5

Avg EV

1586.5

Bat Spd

1066.6

EYE35

Chase%

7427.1%

SPEED30

Sprint

1025.1

Recent Formrolling true talent ⓘ

K%10%▲7% over 54 PA (60d) · proj 12%

BB%3%▼0% over 54 PA (60d) · proj 4%

ISO.140·.170 over 53 AB (60d) · proj .130

HR/BB3.0%·4.1% over 49 BBE (60d) · proj 2.6%

BABIP.259·.277 over 47 BIP (60d) · proj .258

SLASH.254/.281/.395▲proj .245/.282/.375

Platoon Splits2024-2026 · 805 PA

vs LHP

vs RHP

Edge

206

599

—

wRC+

◀◀L

wOBA

283

263

◀L

ISO

116

109

◀L

BABIP

260

236

◀L

10.2%

11.0%

◀L

BB%

2.9%

3.2%

▶R

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

Status Arb-2

MLB Debut 2021

Service 4.372 yrs.days

Team Control Through 2030

First FA Year 2029

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$6M	+0.4	$2M	-$5M
2028	Ext	$6M	—	—	—
2029	Ext	$6M	—	—	—
2030	Ext	$6M	—	—	—
Totals		$25M		$-3M	-$24M

Options · projected decision
2031	CLUB OPT	$7.8M / $0.0M buyout	DECLINE
2032	CLUB OPT	$12.0M / $0.0M buyout	DECLINE
2033	CLUB OPT	$14.0M / $0.0M buyout	DECLINE

Underwater contract
Projected production over the remaining contract is worth -$24M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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 = actual YTD + projected ROS + total. 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2015	17	ROK	DSL Dodgers	—	159	150	45	8	1	1	8	15	1	4	2	300	340	387	726	87	328	9	5	327	34	—	—	—	—	—	—
2016	18	ROK	Ogden Raptors	—	245	222	83	22	3	2	15	27	3	0	0	374	421	527	948	153	409	11	6	411	92	—	—	—	—	—	—
2017	19	A+	Rancho Cucamonga Quakes	—	160	149	47	7	1	6	7	23	1	0	0	315	350	497	847	181	333	14	4	366	99	—	—	—	—	—	—
2017	19	A	Great Lakes Loons	—	251	227	72	16	1	2	18	30	3	0	0	317	375	423	798	106	355	12	7	355	102	—	—	—	—	—	—
2018	20	AA	Tulsa Drillers	—	415	377	101	14	0	12	26	33	9	0	1	268	330	401	731	133	266	8	6	327	78	—	—	—	—	—	—
2018	20	INTL	Glendale Desert Dogs	—	56	49	14	1	0	0	6	2	0	0	0	286	364	306	670	20	292	4	11	308	94	—	—	—	—	—	—
2019	21	AAA	Oklahoma City Dodgers	—	40	38	12	0	0	2	2	1	0	0	0	316	350	474	824	158	286	2	5	365	91	—	—	—	—	—	—
2019	21	AA	Tulsa Drillers	—	310	276	70	9	0	4	28	21	4	0	0	254	331	330	661	76	261	7	9	303	61	—	—	—	—	—	—
2020	22	INTL	Leones del Caracas	—	36	31	4	1	0	0	5	1	0	1	0	129	250	161	411	32	133	3	14	208	27	—	—	—	—	—	—
2021	23	MLB	Washington Nationals	—	96	88	24	3	0	3	6	9	2	0	0	273	333	409	742	136	276	9	6	334	112	+1	+0	+2	+7	+2	1.3
2021	23	AAA	Rochester Red Wings	—	316	284	88	24	0	21	30	33	1	0	0	310	378	616	994	306	290	10	9	428	119	—	—	—	—	—	—
2022	24	MLB	Washington Nationals	—	433	394	99	22	0	7	30	50	6	6	1	251	314	360	674	109	271	12	7	304	91	-5	+1	+4	+8	+9	1.8
2023	25	MLB	Washington Nationals	—	562	523	136	24	0	18	31	58	6	1	1	260	309	409	718	149	263	10	6	319	101	+0	-0	-13	+10	+12	1.0
2024	26	MLB	Washington Nationals	—	485	459	105	21	0	13	16	54	5	3	1	229	263	359	622	131	232	11	3	274	71	-17	+0	+0	+9	+11	0.3
2025	27	MLB	Washington Nationals	—	267	255	63	12	0	2	8	26	3	0	2	247	278	318	596	71	268	10	3	269	67	-10	-1	-5	+5	+6	-0.6
2026	28	MLB	Washington Nationals	—	354	332	93	24	0	10	16	37	3	2	1	280	319	443	762	163	288	10	5	334	110	+4	+0	+2	+6	+8	2.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	2197	2051	520	106	0	53	107	234	25	12	6	254	299	383	681	129	263	11	5	303	91	-23	+0	-9	+45	+48	6.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	17	ROK MLE	DSL Dodgers	—	159	152	31	5	1	0	6	18	1	4	2	204	239	250	489	46	228	11	4	218	34	—	—	—	—	—	—
2016	18	ROK MLE	Ogden Raptors	—	245	228	64	15	2	2	9	39	3	0	0	281	317	390	707	110	314	16	4	304	92	—	—	—	—	—	—
2017	19	A+ MLE	Rancho Cucamonga Quakes	—	160	153	43	6	1	5	3	31	1	0	0	281	299	431	731	150	303	19	2	314	99	—	—	—	—	—	—
2017	19	A MLE	Great Lakes Loons	—	251	233	70	14	1	2	12	41	3	0	0	300	343	395	738	94	349	16	5	319	102	—	—	—	—	—	—
2018	20	AA MLE	Tulsa Drillers	—	415	385	96	13	0	9	18	42	9	0	1	249	299	353	652	104	254	10	4	284	78	—	—	—	—	—	—
2019	21	AAA MLE	Oklahoma City Dodgers	—	40	38	11	0	0	2	2	1	0	0	0	289	325	447	772	158	254	2	5	303	91	—	—	—	—	—	—
2019	21	AA MLE	Tulsa Drillers	—	310	286	65	7	0	4	18	27	4	0	0	227	282	294	576	66	236	9	6	259	61	—	—	—	—	—	—
2021	23	MLB MLE	Washington Nationals	—	96	88	24	3	0	3	6	9	2	0	0	273	333	409	742	136	276	9	6	333	112	+1	+0	+2	+7	+2	1.3
2021	23	AAA MLE	Rochester Red Wings	—	316	293	77	20	0	16	21	40	1	0	0	263	314	495	809	232	254	13	7	344	119	—	—	—	—	—	—
2022	24	MLB MLE	Washington Nationals	—	433	394	99	22	0	7	30	50	6	6	1	251	314	360	674	109	271	12	7	303	91	-5	+1	+4	+8	+9	1.8
2023	25	MLB MLE	Washington Nationals	—	562	524	136	24	0	18	30	58	6	1	1	260	307	408	716	149	263	10	5	317	101	+0	-0	-13	+10	+12	1.0
2024	26	MLB MLE	Washington Nationals	—	485	459	105	21	0	13	16	54	5	3	1	229	263	359	622	131	232	11	3	274	71	-17	+0	+0	+9	+11	0.3
2025	27	MLB MLE	Washington Nationals	—	267	255	63	12	0	2	8	26	3	0	2	247	278	318	596	71	268	10	3	268	67	-10	-1	-5	+5	+6	-0.6
2026	28	MLB MLE	Washington Nationals	—	354	333	93	24	0	10	15	37	3	2	1	279	316	441	758	162	288	10	4	331	110	+4	+0	+2	+6	+8	2.1
2015	17	ROK MLE	DSL Dodgers	—	159	152	31	5	1	0	6	18	1	4	2	204	239	250	489	46	231	11	4	218	34	—	—	—	—	—	—
2015	17	ROK RAW	DSL Dodgers	—	159	150	45	8	1	1	8	15	1	4	2	300	340	387	726	87	328	9	5	327	34	—	—	—	—	—	—
2016	18	ROK MLE	Ogden Raptors	—	245	228	64	15	2	2	9	39	3	0	0	281	317	390	707	110	323	16	4	304	92	—	—	—	—	—	—
2016	18	ROK RAW	Ogden Raptors	—	245	222	83	22	3	2	15	27	3	0	0	374	421	527	948	153	409	11	6	411	92	—	—	—	—	—	—
2017	19	A MLE	2 teams	—	411	385	112	19	2	7	16	72	4	0	0	291	326	405	731	114	338	18	4	317	101	—	—	—	—	—	—
2017	19	A RAW	2 teams	—	411	376	119	23	2	8	25	53	4	0	0	316	365	452	818	136	347	13	6	359	101	—	—	—	—	—	—
2018	20	AA MLE	2 teams	—	471	438	108	14	0	10	20	48	9	0	1	247	293	347	640	100	255	10	4	284	78	—	—	—	—	—	—
2018	20	AA RAW	2 teams	—	471	426	115	15	0	12	32	35	9	0	1	270	334	390	724	120	269	7	7	324	78	—	—	—	—	—	—
2019	21	AA MLE	2 teams	—	350	324	75	7	0	5	20	28	4	0	0	231	284	299	584	68	239	8	6	264	65	—	—	—	—	—	—
2019	21	AA RAW	2 teams	—	350	314	82	9	0	6	30	22	4	0	0	261	333	347	680	86	264	6	9	310	65	—	—	—	—	—	—
2020	22	INTL MLE	Leones del Caracas	—	36	31	4	1	0	0	5	1	0	1	0	129	250	161	411	32	133	3	14	—	—	—	—	—	—	—	—
2020	22	INTL RAW	Leones del Caracas	—	36	31	4	1	0	0	5	1	0	1	0	129	250	161	411	32	133	3	14	208	27	—	—	—	—	—	—
2021	23	AAA MLE	2 teams	—	412	381	101	23	0	19	27	49	3	0	0	265	319	475	794	210	261	12	7	341	117	—	—	—	—	—	—
2021	23	AAA RAW	2 teams	—	412	372	112	27	0	24	36	42	3	0	0	301	367	567	935	266	287	10	9	406	117	—	—	—	—	—	—
2022	24	MLB MLE	Washington Nationals	—	433	394	99	22	0	7	30	50	6	6	1	251	314	360	674	109	271	12	7	303	91	-5	+1	+4	+8	+9	1.8
2022	24	MLB RAW	Washington Nationals	—	433	394	99	22	0	7	30	50	6	6	1	251	314	360	674	109	271	12	7	304	91	-5	+1	+4	+8	+9	1.8
2023	25	MLB MLE	Washington Nationals	—	562	524	136	24	0	18	30	58	6	1	1	260	307	408	716	149	262	10	5	317	101	+0	-0	-13	+10	+12	1.0
2023	25	MLB RAW	Washington Nationals	—	562	523	136	24	0	18	31	58	6	1	1	260	309	409	718	149	263	10	6	319	101	+0	-0	-13	+10	+12	1.0
2024	26	MLB MLE	Washington Nationals	—	485	459	105	21	0	13	16	54	5	3	1	229	263	359	622	131	232	11	3	274	71	-17	+0	+0	+9	+11	0.3
2024	26	MLB RAW	Washington Nationals	—	485	459	105	21	0	13	16	54	5	3	1	229	263	359	622	131	232	11	3	274	71	-17	+0	+0	+9	+11	0.3
2025	27	MLB MLE	Washington Nationals	—	267	255	63	12	0	2	8	26	3	0	2	247	278	318	596	71	268	10	3	268	67	-10	-1	-5	+5	+6	-0.6
2025	27	MLB RAW	Washington Nationals	—	267	255	63	12	0	2	8	26	3	0	2	247	278	318	596	71	268	10	3	269	67	-10	-1	-5	+5	+6	-0.6
2026	28	MLB MLE	Washington Nationals	—	354	333	93	24	0	10	15	37	3	2	1	279	316	441	758	162	287	10	4	331	110	+4	+0	+2	+6	+8	2.1
2026	28	MLB RAW	Washington Nationals	—	354	332	93	24	0	10	16	37	3	2	1	280	319	443	762	163	288	10	5	334	110	+4	+0	+2	+6	+8	2.1
2015	17	ROK MLE	DSL Dodgers	—	159	151	31	5	1	0	6	18	1	4	2	205	239	252	491	46	228	11	4	218	34	—	—	—	—	—	—
2016	18	ROK MLE	Ogden Raptors	—	245	231	64	15	2	2	9	39	3	0	0	277	317	385	702	108	314	16	4	304	92	—	—	—	—	—	—
2017	19	A MLE	2 teams	—	411	388	112	19	2	7	16	72	4	0	0	289	326	402	728	113	331	18	4	317	101	—	—	—	—	—	—
2018	20	AA MLE	2 teams	—	471	439	108	14	0	10	20	48	9	0	1	246	293	346	640	100	254	10	4	284	78	—	—	—	—	—	—
2019	21	AA MLE	2 teams	—	350	323	75	7	0	5	20	28	4	0	0	232	284	300	585	68	238	8	6	264	65	—	—	—	—	—	—
2021	23	AAA MLE	2 teams	—	412	379	101	23	0	19	27	49	3	0	0	266	319	478	796	211	259	12	7	341	117	—	—	—	—	—	—
2022	24	MLB MLE	Washington Nationals	—	433	394	99	22	0	7	30	50	6	6	1	251	314	360	674	109	271	12	7	303	91	—	—	—	—	—	—
2023	25	MLB MLE	Washington Nationals	—	562	521	136	24	0	18	30	58	6	1	1	261	307	411	718	150	263	10	5	317	101	—	—	—	—	—	—
2024	26	MLB MLE	Washington Nationals	—	485	461	105	21	0	13	16	54	5	3	1	228	263	358	620	130	232	11	3	274	71	—	—	—	—	—	—
2025	27	MLB MLE	Washington Nationals	—	267	254	63	12	0	2	8	26	3	0	2	248	278	319	597	71	268	10	3	268	67	—	—	—	—	—	—
2026	28	MLB MLE	Washington Nationals	—	354	333	93	24	0	10	15	37	3	2	1	279	316	441	758	162	288	10	4	331	110	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	26	MLB MLE	Washington Nationals	—	485	461	105	21	0	13	16	54	5	3	1	228	263	358	620	130	232	11	3	274	71	—	—	—	—	—	—
2025	27	MLB MLE	Washington Nationals	—	267	254	63	12	0	2	8	26	3	0	2	248	278	319	597	71	268	10	3	268	67	—	—	—	—	—	—
2026	28	MLB MLE	Washington Nationals	—	354	333	93	24	0	10	15	37	3	2	1	279	316	441	758	162	288	10	4	331	110	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	29	MLB MLE	WSH	100%	361	340	84	21	0	8	15	42	3	2	1	245	284	376	660	130	258	12	4	292	84	-7	+0	-6	+6	+8	0.4
▸ 2027 — real world (MLB)
2027	29	MLB CTX	WSH	100%	361	340	84	21	0	8	15	42	3	2	1	246	285	377	662	131	259	12	4	293	84	-7	+0	-6	+6	+8	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	30	MLB MLE	WSH	100%	367	346	83	21	0	7	15	44	3	1	1	242	281	368	648	126	256	12	4	287	81	-8	-0	-8	+7	+8	-0.2
2029	31	MLB MLE	WSH	100%	341	321	77	19	0	7	14	42	3	1	0	237	275	357	632	120	253	12	4	281	76	-10	+0	-8	+6	+7	-0.4
2030	32	MLB MLE	WSH	100%	313	295	68	17	0	5	12	40	3	1	0	231	267	342	609	111	248	13	4	271	69	-11	+0	-8	+6	+7	-0.7
2028	30	MLB CTX	WSH	100%	367	346	83	21	0	7	15	44	3	1	1	243	281	369	651	126	257	12	4	288	81	-8	-0	-8	+7	+8	-0.2
2029	31	MLB CTX	WSH	100%	341	321	77	19	0	7	14	42	3	1	0	238	276	359	635	121	254	12	4	282	76	-10	+0	-8	+6	+7	-0.4
2030	32	MLB CTX	WSH	100%	313	295	68	17	0	5	12	40	3	1	0	232	268	344	612	112	249	13	4	272	69	-11	+0	-8	+6	+7	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3218	3013	748	163	0	72	148	360	34	15	7	248	291	374	665	126	260	11	5	296	84	-52	+0	-33	+63	+70	4.9
/ 162G	—	A+C		—	650	609	152	33	0	15	30	73	7	3	1	250	293	378	671	128	261	11	5	296	84	-11	+0	-7	+13	+14	1.0
Career	—	MLE		—	5567	5206	1303	265	5	120	258	648	59	22	11	250	293	372	666	122	264	12	5	292	84	-59	+0	-39	+70	+78	5.1
/ 162G	—	MLE		—	650	608	153	31	1	14	30	76	7	3	1	252	295	375	670	123	266	12	5	292	84	-11	+0	-7	+13	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Barrett'98-'09 * career totals — 10 seasons, 3,873 PA	5.8	3,873	98	11	252*	306*	406*	+61	-5	12.1	12.8
/162	664	17	2	+10.5	-0.9	2.1	pk7: 13
#2Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#3Dan Wilson'92-'05 * career totals — 12 seasons, 4,616 PA	7.0	4,616	88	23	250*	297*	370*	+81	-0	10.3	11.0
/162	664	13	3	+11.6	-0.0	1.5	pk7: 12
#4Nick Hundleylast yr '19 career totals — 12 seasons, 3,373 PA	5.1	3,373	93	15	247	299	405	+60	-31	10.3	10.8
/162	664	18	3	+11.9	-6.0	2.0	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	5.4	3,579	80	17	249	288	376	+64	-13	9.8	9.4
/162	664	15	3	+11.9	-2.4	1.8	pk7: 9
#5Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#6Sammy White'51-'62 * career totals — 10 seasons, 3,788 PA	5.7	3,788	66	14	256*	294*	400*	+68	+0	7.8	8.6
/162	664	12	2	+11.8	+0.0	1.4	pk7: 9

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
Keibert Ruiz (OGILVIE)	29	55	35	30	35	243/282/372	129	258	8	2	12%	4%	84	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kevin Flores 2014 · AAA	29	52→49	42→40	35→45	43	252/291/351	99	293	10	2	18%	5%	81	-0.1	249/291/332	83	299	7	4	18%	5%	76	-0.4	248/289/316	68	304	4	2	19%	4%	70	-0.5
✕Enrique Wilson 2002 · MLB	29	49	42→45	35→40	47	238/278/344	106	261	10	5	13%	5%	75	-0.5	219/267/337	118	237	12	7	13%	6%	69	-0.9	204/252/319	115	210	12	6	11%	6%	60	-0.5
✕Toby Hall 2005 · MLB	29	51→59	45	35→45	49	250/293/371	121	256	13	2	9%	5%	87	+0.4	257/290/367	110	269	11	2	9%	4%	84	+0.2	259/285/357	98	271	10	0	9%	3%	81	-0.0
✕Jason Phillips 2006 · MLB	29	49→59	46→45	37→30	51	239/297/364	125	250	13	2	11%	6%	87	+0.4	230/277/341	111	254	11	3	14%	5%	74	-0.5	225/268/321	95	253	9	1	15%	4%	64	-0.5
✕Ramiro Pena 2014 · MLB	29	49→55	41→45	39→50	46	236/287/336	101	287	9	5	21%	6%	76	-0.4	242/285/343	101	286	9	5	18%	5%	77	-0.3	254/287/354	100	286	9	5	14%	4%	80	-0.1
✕Rubén Tejada 2018 · MLB	28	50→60	41→40	38→50	50	239/299/344	104	271	8	3	15%	7%	83	+0.1	226/283/319	93	273	8	6	19%	6%	72	-0.7	214/274/276	63	270	4	5	21%	6%	55	-1.1
✕Ed Easley 2015 · AAA	29	51→42	44→45	37→40	46	250/303/367	117	295	11	4	19%	6%	90	+0.6	215/275/303	88	258	8	5	19%	7%	65	-1.2	188/253/239	51	227	4	1	18%	7%	40	-1.1
✕Hector Paez 2008 · AAA	30	51	43→45	39→40	43	246/276/353	107	266	10	4	13%	3%	76	-0.4	231/262/333	102	257	10	5	15%	3%	66	-1.1	223/254/311	88	241	10	2	12%	2%	57	-0.7
●Terry Tiffee 2008 · MLB	29	49→59	43→45	41→30	43	240/270/348	108	264	11	3	14%	4%	72	-0.7	263/291/381	118	292	10	3	14%	4%	88	+0.4	289/310/415	126	321	10	1	13%	3%	101	+0.6
✕Fernando Flores 2019 · AAA	27	51	41→40	38→40	41	248/278/347	99	296	8	4	19%	4%	75	-0.5	222/265/318	96	271	9	7	21%	5%	63	-1.3	199/233/249	50	241	4	0	19%	4%	36	-1.0
✕Ivan Cervantes 2009 · AAA	29	54→59	39→40	40→45	45	260/293/343	83	285	7	4	12%	4%	80	-0.2	241/278/327	86	278	7	4	16%	4%	70	-0.8	237/275/315	77	278	6	2	16%	4%	63	-0.8
✕Donell Linares 2013 · AAA	29	49→58	42→45	36→40	45	237/278/338	101	254	10	3	12%	4%	74	-0.6	270/313/385	115	278	12	3	8%	4%	97	+1.1	278/322/387	109	282	11	1	6%	4%	99	+0.9
✕Brian Peterson 2008 · AAA	29	50	41→45	39→30	44	243/285/347	105	291	8	3	20%	5%	78	-0.3	223/278/317	94	279	8	5	22%	6%	69	-0.9	216/262/282	66	255	5	0	17%	5%	53	-0.7
✕J.R. House 2009 · MLB	29	51→59	47→50	36→30	49	255/304/392	138	275	15	3	14%	6%	96	+1.0	221/262/320	99	246	10	3	15%	5%	63	-1.3	205/240/283	77	229	8	0	14%	4%	43	-1.9
✕Conor Gillaspie 2016 · MLB	29	51→58	45→50	36→40	47	252/299/386	135	288	11	2	17%	6%	93	+0.8	241/282/376	135	267	13	6	15%	5%	84	+0.1	240/273/371	131	260	12	6	13%	4%	78	-0.1
✕Adan Munoz 2007 · AAA	29	52→55	44→50	39→45	46	255/306/383	127	298	11	5	18%	6%	95	+0.9	229/272/321	92	258	9	6	15%	4%	68	-1.0	241/273/370	129	264	15	3	16%	4%	80	-0.1
✕Taylor Davis 2019 · AAA	29	50→53	39→45	37→40	48	237/287/325	87	275	7	3	16%	6%	74	-0.6	221/281/309	88	263	9	4	19%	7%	68	-1.0	209/274/265	56	248	6	0	18%	8%	54	-0.7
✕Bryan Holaday 2018 · MLB	30	45	47→45	36→40	42	225/270/360	135	259	14	3	20%	5%	76	-0.4	226/283/343	117	261	12	4	18%	6%	77	-0.3	214/275/334	120	247	13	2	19%	6%	74	-0.2
✕Francisco Cordoba 2014 · AAA	30	47→52	45	35→40	42	236/281/352	116	289	14	4	24%	5%	78	-0.3	228/278/332	104	282	11	4	22%	5%	72	-0.7	217/269/306	89	267	9	2	22%	5%	61	-0.9
✕Iker Franco 2011 · AAA	30	46→47	46→50	37→40	50	229/285/358	129	250	14	3	16%	7%	81	-0.1	228/287/351	123	266	15	3	20%	8%	80	-0.1	222/284/336	114	261	15	1	21%	8%	77	-0.2

Keibert Ruiz

Career Stats + Projections

Career Comps

Career Path Comps