Nate Furman

2B Sacramento River Cats

Age 26 L/R 5'8" / 173 lbs AAA HR -15%H -3% Svc 1.000 · Ctrl thru 2031

Overview

AAA40-MANROOKIEPre-ArbFA 2032

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	23	A+CLE	176	.338/.415/.500	7	8	112	—	.300/.364/.419
2025	24	AASF	39	.387/.486/.484	0	0	147	—	.394/.459/.485
2025	24	A+SF	96	.364/.490/.649	6	3	169	—	.321/.427/.543
2026	25	MLBSF	39	.125/.243/.125	0	0	10	-0.2
2027PROJ30% MLB	26	MLBSF	75	.259/.331/.352	1	4	98	0.2
2028PROJ45% MLB	27	MLBSF	176	.257/.329/.352	2	8	98	0.4
2029PROJ54% MLB	28	MLBSF	217	.255/.326/.349	3	9	96	0.4

Last 3 seasons WAR -0.2 · Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.000First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$4M2031Arb-3$4M

Skills · percentileMiLB Statcast 2026 AAA

Whiff%97

Z-Con%94

K%92

Chase%72

Speed65

BB%60

Career WAR0 WAR median (P10 -0 / P90 9, comp-based) · star 4% · didn't stick 78%

CompsChris Getz (age 26) · Jake Elmore (age 26) · Mallex Smith (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†98

AVG/OBP/SLG.259 / .331 / .352

PA75

HR1

K%16

BB%8

BABIP303

ISO88

MLB%30%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$1M ctrl surplus

Tools · ContractCON 60 / POW 30

Toolsscout grade · Statcast %ile · 2026

CONTACT60

xAVG

100.160

POWER30

Avg EV

1080.9

EYE60

scouting grade only

SPEED60

Sprint

8728.9

DEFENSE45

scouting grade only

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

Status Pre-Arb

MLB Debut 2026

Service 1.000 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.2	$1.0M	+$0.2M
2028	Pre-Arb	$0.8M	+0.4	$1M	+$0.8M
2029	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2030	Arb-2	$4M	+0.3	$1.0M	+$0.0M (cut)
2031	Arb-3	$4M	+0.2	$0.6M	+$0.0M (cut)
Totals		$2M		$5M	+$0.9M

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.

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	22	A+	Lake County Captains	—	266	225	51	7	1	0	30	35	9	10	2	227	341	267	608	40	267	13	11	290	52	—	—	—	—	—	—
2023	22	A	Lynchburg Hillcats	—	175	128	42	4	1	0	35	19	7	27	3	328	488	375	863	47	375	11	20	399	119	—	—	—	—	—	—
2024	23	AA	Akron RubberDucks	—	51	40	5	1	1	0	8	8	2	2	0	125	300	200	500	75	156	16	16	248	30	—	—	—	—	—	—
2024	23	A+	Lake County Captains	—	176	154	52	2	1	7	18	31	3	8	2	338	415	500	915	162	388	18	10	406	112	—	—	—	—	—	—
2025	24	AA	Richmond Flying Squirrels	—	39	31	12	1	1	0	6	8	0	0	0	387	486	484	970	97	522	21	15	414	147	—	—	—	—	—	—
2025	24	A+	Eugene Emeralds	—	96	77	28	4	0	6	15	7	4	3	0	364	490	649	1.139	286	344	7	16	493	169	—	—	—	—	—	—
2025	24	A	San Jose Giants	—	15	12	5	1	0	1	3	2	0	0	0	417	533	750	1.283	333	444	13	20	545	150	—	—	—	—	—	—
2026	25	MLB	San Francisco Giants	—	39	32	4	0	0	0	5	10	0	0	0	125	243	125	368		182	26	13	182	10	-4	+0	+0	+2	+1	-0.2
2026	25	AAA	Sacramento River Cats	—	468	399	117	25	1	7	52	55	5	19	5	293	382	414	795	120	322	12	11	351	101	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	39	32	4	0	0	0	5	10	0	0	0	125	243	125	368		182	26	13	182	10	-4	+0	+0	+2	+1	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	22	A+ MLE	Lake County Captains	—	266	233	47	6	1	0	22	43	9	10	2	202	295	236	532	34	243	16	8	245	52	—	—	—	—	—	—
2023	22	A MLE	Lynchburg Hillcats	—	175	141	42	4	1	0	24	26	7	27	3	298	424	340	765	43	342	15	14	344	119	—	—	—	—	—	—
2024	23	AA MLE	Akron RubberDucks	—	51	42	5	1	1	0	6	10	2	2	0	119	260	190	450	71	153	20	12	212	30	—	—	—	—	—	—
2024	23	A+ MLE	Lake County Captains	—	176	160	48	2	1	5	13	39	3	8	2	300	364	419	782	119	364	22	7	334	112	—	—	—	—	—	—
2025	24	AA MLE	Richmond Flying Squirrels	—	39	33	13	1	1	0	4	10	0	0	0	394	459	485	944	91	500	26	10	385	147	—	—	—	—	—	—
2025	24	A+ MLE	Eugene Emeralds	—	96	81	26	3	0	5	11	9	4	3	0	321	427	543	970	222	309	9	11	418	169	—	—	—	—	—	—
2025	24	A MLE	San Jose Giants	—	15	13	5	1	0	1	2	3	0	0	0	385	467	692	1.159	308	361	20	13	390	150	—	—	—	—	—	—
2026	25	MLB MLE	San Francisco Giants	—	39	32	4	0	0	0	5	10	0	0	0	125	243	125	368		182	26	13	184	10	-4	+0	+0	+2	+1	-0.2
2026	25	AAA MLE	Sacramento River Cats	—	468	414	116	23	1	5	37	66	5	19	5	280	346	377	723	97	311	14	8	318	101	—	—	—	—	—	—
2023	22	A+ MLE	2 teams	—	441	374	89	10	2	0	46	70	16	37	5	238	346	275	622	37	289	16	10	284	79	—	—	—	—	—	—
2023	22	A+ RAW	2 teams	—	441	353	93	11	2	0	65	54	16	37	5	263	399	306	705	42	307	12	15	333	79	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	227	202	53	3	2	5	19	48	5	10	2	262	341	371	712	109	322	21	8	307	94	—	—	—	—	—	—
2024	23	A+ RAW	2 teams	—	227	194	57	3	2	7	26	39	5	10	2	294	389	438	828	144	338	17	11	371	94	—	—	—	—	—	—
2025	24	A+ MLE	3 teams	—	150	127	43	5	1	6	17	21	4	3	0	339	432	535	968	197	370	14	11	407	161	—	—	—	—	—	—
2025	24	A+ RAW	3 teams	—	150	120	45	6	1	7	24	17	4	3	0	375	493	617	1.110	242	396	11	16	477	161	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	507	446	120	23	1	5	42	76	5	19	5	269	339	359	697	90	311	15	8	308	94	—	—	—	—	—	—
2026	25	AAA RAW	2 teams	—	507	431	121	25	1	7	57	65	5	19	5	281	371	392	763	111	313	13	11	338	94	—	—	—	—	—	—
2023	22	A+ MLE	2 teams	—	441	376	89	10	2	0	46	70	16	37	5	237	346	274	620	37	282	16	10	284	79	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	227	201	53	3	2	5	19	48	5	10	2	264	341	373	714	109	317	21	8	307	94	—	—	—	—	—	—
2025	24	A+ MLE	3 teams	—	150	128	43	5	1	6	17	21	4	3	0	336	432	531	964	195	364	14	11	407	161	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	507	455	120	23	1	5	42	76	5	19	5	264	339	352	690	88	301	15	8	308	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	A+ MLE	2 teams	—	227	201	53	3	2	5	19	48	5	10	2	264	341	373	714	109	317	21	8	307	94	—	—	—	—	—	—
2025	24	A+ MLE	3 teams	—	150	128	43	5	1	6	17	21	4	3	0	336	432	531	964	195	364	14	11	407	161	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	507	455	120	23	1	5	42	76	5	19	5	264	339	352	690	88	301	15	8	308	94	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	SF	30%	380	341	90	16	1	5	32	62	4	18	4	263	334	359	693	96	307	16	8	313	98	-1	+2	-1	+1	+8	0.8
▸ 2027 — real world (MLB)
2027	26	MLB CTX	SF	30%	75	68	17	3	0	1	6	12	1	4	1	259	331	352	683	93	303	16	8	309	98	-0	+0	-0	+0	+2	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	SF	45%	395	354	92	17	1	5	34	66	4	19	4	261	332	359	691	97	306	17	9	312	98	-1	+2	-1	+1	+9	1.0
2029	28	MLB MLE	SF	54%	403	362	93	17	1	5	34	70	4	17	3	259	330	356	686	98	304	17	8	310	96	-2	+2	-2	+1	+9	0.8
2030	29	MLB MLE	SF	57%	398	357	91	17	1	5	34	71	4	15	3	256	327	353	679	97	303	18	9	307	94	-3	+2	-3	+1	+9	0.6
2031	30	MLB MLE	SF	60%	394	354	89	16	1	5	33	72	4	12	3	252	323	348	670	95	301	18	8	304	92	-4	+1	-4	+1	+9	0.4
2032	31	MLB MLE	SF	61%	379	341	84	15	1	5	32	72	3	8	2	248	318	341	658	93	298	19	8	298	88	-5	+1	-4	+1	+8	0.1
2033	32	MLB MLE	SF	62%	360	324	79	14	1	4	30	70	3	4	1	242	311	328	640	86	294	19	8	291	83	-7	+0	-5	+1	+8	-0.3
2028	27	MLB CTX	SF	45%	176	157	41	8	1	2	15	29	2	8	2	257	329	352	681	94	302	16	9	308	98	-1	+1	-1	+1	+4	0.4
2029	28	MLB CTX	SF	54%	217	194	50	9	1	3	19	37	2	9	2	255	326	349	676	95	301	17	9	306	96	-1	+1	-1	+1	+5	0.4
2030	29	MLB CTX	SF	57%	228	205	53	10	1	3	19	41	2	8	2	252	323	346	669	94	299	18	8	303	94	-2	+1	-2	+1	+5	0.3
2031	30	MLB CTX	SF	60%	235	211	53	10	1	3	20	43	2	7	2	248	319	341	660	92	297	18	9	299	92	-2	+1	-2	+1	+5	0.2
2032	31	MLB CTX	SF	61%	231	208	51	9	1	3	19	44	2	5	1	244	314	334	648	90	294	19	8	294	88	-3	+1	-3	+1	+5	0.1
2033	32	MLB CTX	SF	62%	223	201	48	9	1	2	18	43	2	3	1	239	308	322	630	83	290	19	8	287	83	-5	+0	-3	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1349	1208	300	55	6	16	115	247	12	40	10	248	320	344	663	95	299	18	9	296	94	-17	+4	-11	+6	+29	1.1
/ 162G	—	A+C		—	650	582	145	27	3	8	55	119	6	19	5	249	320	347	667	98	299	18	8	296	94	-8	+2	-5	+3	+14	0.5
Career	—	MLE		—	3904	3465	892	148	13	48	342	677	55	156	30	257	334	349	683	92	306	17	9	307	94	-27	+10	-20	+11	+57	3.1
/ 162G	—	MLE		—	650	577	149	25	2	8	57	113	9	26	5	258	334	350	684	92	307	17	9	307	94	-7	+3	-5	+3	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jon 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
#2Angel Berroalast yr '09 career totals — 8 seasons, 2,794 PA	4.2	2,794	46	50	259	303	375	+27	-6	6.7	7.1
/162	664	11	12	+6.5	-1.4	1.6	pk7: 7
#3Dick Padden'01-'05 * career totals — 5 seasons, 1,693 PA	2.5	1,693	3	68	238*	322*	373*	+6	-4	5.1	5.1
/162	664	1	27	+2.5	-1.6	2.0	pk7: 5
#4U. L. Washington'77-'87 * career totals — 9 seasons, 3,124 PA	4.7	3,124	27	132	246*	313*	363*	+30	-28	4.2	5.1
/162	664	6	28	+6.3	-6.0	0.9	pk7: 6
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.1	1,385	17	44	254	321	349	+5	-8	3.3	3.3
/162	664	8	21	+2.4	-3.8	1.6	pk7: 3
#6Roy Hughes'35-'46 * career totals — 8 seasons, 2,877 PA	4.3	2,877	5	80	251*	307*	351*	+15	-12	1.8	2.5
/162	664	1	18	+3.4	-2.7	0.4	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
Nate Furman (OGILVIE)	26	55→60	30	60	60	261/331/356	95	307	3	12	16%	9%	98	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Getz 2010 · MLB	26	55→56	41→40	57→60	51	261/318/362	101	292	8	23	14%	7%	94	+0.9	247/303/314	67	279	3	27	12%	7%	77	-0.3	246/300/292	46	276	0	29	10%	7%	71	-0.4
✕Jake Elmore 2013 · MLB	26	58→64	37→40	54→55	55	268/339/353	84	316	3	22	15%	9%	99	+1.3	248/318/329	81	295	5	18	16%	9%	86	+0.3	235/306/298	64	278	4	15	16%	8%	74	-0.4
✕Mallex Smith 2019 · MLB	26	57→64	40→45	64→65	50	270/334/379	109	337	5	39	20%	8%	103	+1.6	238/306/348	110	310	7	39	24%	8%	86	+0.3	228/299/332	105	303	7	49	25%	8%	80	-0.1
✕Jacob Hurtubise 2024 · AAA	26	56→63	40	64→60	54	262/364/357	95	331	6	37	20%	10%	111	+2.1	226/325/303	77	295	4	30	22%	9%	84	+0.2	203/305/255	53	276	1	32	24%	9%	65	-0.5
✕Micah Johnson 2016 · MLB	25	57→61	41→45	58→60	45	272/318/375	103	340	7	30	22%	6%	97	+1.1	232/280/328	96	318	7	21	27%	6%	71	-0.8	212/258/303	91	298	6	19	29%	5%	54	-1.1
✕Brandon Roberts 2011 · AAA	26	58→61	38→40	55	46	273/329/353	80	321	5	21	16%	5%	96	+1.0	245/296/321	76	292	4	22	17%	5%	76	-0.4	236/284/297	61	283	2	25	16%	5%	63	-0.6
✕Rey Fuentes 2017 · MLB	26	54→64	38→40	57→60	42	257/303/338	82	334	6	27	24%	6%	82	-0.0	240/288/328	88	313	7	20	24%	6%	74	-0.5	237/285/322	85	307	7	21	24%	5%	71	-0.4
✕Josh Anderson 2009 · MLB	26	59→63	38→40	60	43	279/314/359	80	324	5	34	15%	4%	91	+0.7	240/276/317	77	286	5	35	17%	4%	67	-1.1	215/247/267	52	259	1	47	17%	4%	43	-1.1
✕Andrew Aplin 2016 · AAA	25	53→60	39→40	55	57	249/328/334	84	294	6	25	16%	10%	91	+0.7	216/288/307	91	280	7	18	23%	9%	71	-0.8	196/268/288	91	256	7	13	25%	8%	56	-1.1
✕Kelby Tomlinson 2016 · MLB	26	58→64	37→40	55→60	46	273/320/350	77	337	4	25	20%	6%	91	+0.7	263/320/327	64	327	3	22	19%	7%	86	+0.3	259/320/300	41	327	1	22	19%	8%	78	-0.2
✕Yonny Hernández 2024 · MLB	26	49→59	37→30	55→60	56	225/324/301	75	291	4	29	22%	11%	83	+0.1	248/317/318	70	304	4	18	18%	8%	84	+0.1	266/328/324	58	317	2	17	16%	7%	85	+0.1
✕Emilio Bonifácio 2012 · MLB	27	59→64	39→40	60→65	51	275/336/368	92	344	4	31	20%	8%	101	+1.4	256/313/344	88	326	5	37	21%	8%	87	+0.4	245/298/322	77	310	4	43	21%	7%	77	-0.2
✕Jemile Weeks 2013 · MLB	26	53→62	39→45	56→55	52	251/316/350	100	291	4	21	15%	8%	90	+0.6	239/313/331	92	294	4	16	18%	9%	85	+0.2	234/311/320	85	295	2	15	19%	9%	79	-0.2
✕Jerry Owens 2007 · AAA	26	57→67	37→40	57→65	48	271/315/349	78	317	4	32	16%	6%	88	+0.5	261/311/324	63	312	4	36	16%	7%	82	-0.0	263/316/315	52	315	3	39	16%	7%	81	-0.0
●Ryan Theriot 2007 · MLB	27	58→65	38→40	58→55	51	275/327/370	95	308	4	25	12%	7%	98	+1.2	278/340/357	79	310	4	23	11%	8%	100	+1.3	280/347/351	71	312	3	22	10%	9%	102	+1.6
✕Alejandro Machado 2008 · AAA	26	53→62	39→40	55	52	254/316/341	87	290	6	21	15%	8%	88	+0.5	248/301/344	96	291	6	18	16%	6%	83	+0.1	250/302/330	80	293	4	17	16%	6%	79	-0.1
✕Alex Sanchez 2003 · MLB	26	56→61	38→40	63→65	51	265/321/348	83	309	4	41	15%	7%	91	+0.6	285/317/365	80	330	4	39	14%	4%	93	+0.8	295/321/369	75	340	3	41	14%	3%	96	+0.7
✕Richie Palacios 2023 · MLB	26	53→54	43→45	59→55	51	250/322/375	125	311	8	20	21%	9%	99	+1.2	231/317/350	119	273	11	19	19%	10%	92	+0.7	220/318/331	111	261	12	29	19%	12%	88	+0.2
✕Julio Borbon 2012 · MLB	26	56→63	38→45	59→60	47	265/311/347	82	302	4	30	14%	5%	87	+0.4	256/300/350	94	299	7	24	16%	6%	84	+0.1	260/303/342	82	305	6	26	16%	6%	80	-0.1
✕Nicky Lopez 2022 · MLB	27	57→63	38→40	54→55	53	269/332/354	86	309	4	16	14%	8%	97	+1.1	242/308/310	68	283	3	15	14%	8%	78	-0.3	232/308/289	57	277	1	10	15%	9%	74	-0.3

Nate Furman

Career Stats + Projections

Career Comps

Career Path Comps