Nate Nankil — OGILVIE

Nate NankilOF Lansing Lugnuts

Age 23 R/R 6'2" / 210 lbs A+ HR -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION405 act + 9 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP279

ISO79

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 45 / POW 45

Toolsscout grade

CONTACT45

scouting grade only

POWER45

scouting grade only

EYE51

scouting grade only

SPEED45

scouting grade only

DEFENSE50

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2030
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	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$0.2M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-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. 2026 = actual YTD + projected ROS + total. 2027+ 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	ROK	ACL Athletics	—	58	53	10	3	0	0	5	9	0	1	0	189	259	245	504	57	227	16	9	236	46	-4	+0	—	—	+1	-0.2
2024	21	A+	Lansing Lugnuts	—	116	104	37	7	0	1	8	25	3	0	1	356	417	452	869	96	456	22	7	389	149	+7	-0	—	—	+3	0.9
2024	21	A	Stockton Ports	—	359	298	85	20	1	10	44	64	15	3	2	285	403	460	863	174	332	18	12	386	148	+20	-0	—	—	+8	2.8
2025	22	AA	Midland RockHounds	—	166	152	37	7	1	0	11	32	3	3	2	243	307	303	610	59	308	19	7	281	77	-5	-0	—	—	+4	-0.1
2025	22	A+	Lansing Lugnuts	—	369	316	93	19	2	3	38	53	10	7	1	294	387	396	783	101	340	14	10	353	125	+11	+1	—	—	+8	2.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	20	ROK MLE	ACL Athletics	—	58	55	8	2	0	0	3	13	0	1	0	145	190	182	371	36	186	22	5	168	0	-7	+0	—	—	+1	-0.6
2024	21	A+ MLE	Lansing Lugnuts	—	116	106	28	5	0	1	6	35	3	0	1	264	322	340	661	75	377	30	5	293	84	-2	-0	—	—	+3	-0.0
2024	21	A MLE	Stockton Ports	—	359	311	74	17	1	8	31	84	15	3	2	238	336	376	712	138	290	23	9	307	94	-3	-0	—	—	+8	0.5
2025	22	AA MLE	Midland RockHounds	—	166	156	32	5	1	0	7	40	3	3	2	205	253	250	503	45	268	24	4	221	36	-13	-0	—	—	+4	-0.9
2025	22	A+ MLE	Lansing Lugnuts	—	369	329	73	13	1	3	25	74	10	7	1	222	297	295	592	73	264	20	7	263	64	-16	+1	—	—	+8	-0.7
2023	20	ROK MLE	ACL Athletics	—	58	55	8	2	0	0	3	13	0	1	0	145	190	182	371	36	190	22	5	168	0	—	—	—	—	—	—
2023	20	ROK RAW	ACL Athletics	—	58	53	10	3	0	0	5	9	0	1	0	189	259	245	504	57	227	16	9	236	0	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	475	418	103	22	1	9	36	119	18	3	3	246	333	368	701	122	321	25	8	304	92	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	475	402	122	27	1	11	52	89	18	3	3	303	407	458	864	154	364	19	11	387	92	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	535	485	104	18	2	3	32	113	13	10	3	214	281	278	559	64	270	21	6	250	55	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	535	468	130	26	3	3	49	85	13	10	3	278	362	365	728	88	330	16	9	331	55	—	—	—	—	—	—
2023	20	ROK MLE	ACL Athletics	—	58	55	8	2	0	0	3	13	0	1	0	145	190	182	371	36	186	22	5	168	0	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	475	418	103	22	1	9	36	119	18	3	3	246	333	368	701	122	311	25	8	304	92	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	535	485	104	18	2	3	32	113	13	10	3	214	281	278	559	64	265	21	6	250	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	ACL Athletics	—	58	55	8	2	0	0	3	13	0	1	0	145	190	182	371	36	186	22	5	168	0	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	475	418	103	22	1	9	36	119	18	3	3	246	333	368	701	122	311	25	8	304	92	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	535	485	104	18	2	3	32	113	13	10	3	214	281	278	559	64	265	21	6	250	55	—	—	—	—	—	—
YTD	23	A+ MLE	OAK	—	405	362	77	12	1	6	31	93	8	5	1	213	289	301	590	88	268	23	8	259	62	-18	+1	+0	-2	+9	-1.2
▸ 2026 season
YTD	23	A RAW	OAK	—	105	91	24	6	0	1	10	17	3	2	0	264	356	363	718	99	311	16	10	327	62	—	—	—	—	—	—
YTD	23	A+ RAW	OAK	—	198	167	35	5	1	3	26	37	3	2	1	210	327	305	632	96	252	19	13	294	62	—	—	—	—	—	—
YTD	23	AA RAW	OAK	—	102	91	25	3	0	3	8	17	2	1	0	275	347	407	753	132	306	17	8	337	62	—	—	—	—	—	—
ROS	23	A+ MLE	OAK	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		274	22	11	270	69	-0	+0	+0	-0	+0	-0.0
TOT	23	A+ MLE	OAK	—	414	370	78	12	1	6	32	95	8	5	1	211	288	297	585	86	266	23	8	260	62	-19	+1	+0	-2	+9	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	OAK	22%	526	473	106	18	2	8	39	116	9	6	2	224	296	321	617	97	276	22	7	281	76	-15	+0	+0	-3	+11	-0.6
2028	25	MLB MLE	OAK	35%	556	499	115	20	2	11	42	122	10	6	2	230	303	345	648	114	277	22	8	289	82	-12	+0	+0	-3	+12	-0.3
2029	26	MLB MLE	OAK	42%	572	513	118	20	2	12	44	125	10	7	2	230	303	347	650	117	278	22	8	293	84	-11	+1	+0	-3	+12	-0.1
2030	27	MLB MLE	OAK	45%	578	518	119	21	2	12	45	127	10	7	2	230	304	347	651	118	278	22	8	294	85	-10	+1	+0	-3	+13	-0.1
2031	28	MLB MLE	OAK	46%	577	516	118	20	2	12	46	127	10	7	2	229	304	345	649	116	278	22	8	292	84	-11	+1	-0	-3	+13	-0.2
2032	29	MLB MLE	OAK	46%	570	511	117	20	2	12	45	127	9	7	2	229	303	346	649	117	277	22	8	291	83	-12	+1	-1	-3	+12	-0.3
2033	30	MLB MLE	OAK	46%	561	502	113	19	2	11	45	126	9	7	2	225	300	337	637	112	276	22	8	288	81	-13	+1	-2	-3	+12	-0.5
2027	24	MLB CTX	OAK	22%	116	104	23	4	0	2	9	26	2	1	0	221	296	317	613	96	281	22	8	271	76	-3	+0	+0	-1	+3	-0.1
2028	25	MLB CTX	OAK	35%	192	172	41	7	1	4	15	42	3	2	1	238	311	360	671	122	282	22	8	279	82	-4	+0	+0	-1	+4	-0.1
2029	26	MLB CTX	OAK	42%	239	215	50	9	1	5	18	52	4	3	1	233	304	353	657	121	283	22	8	283	84	-4	+0	+0	-1	+5	-0.0
2030	27	MLB CTX	OAK	45%	258	232	54	10	1	5	20	57	4	3	1	233	305	349	654	116	283	22	8	284	85	-5	+0	+0	-2	+6	-0.0
2031	28	MLB CTX	OAK	46%	268	241	55	10	1	5	21	59	4	3	1	228	301	340	641	112	283	22	8	283	84	-5	+0	-0	-2	+6	-0.1
2032	29	MLB CTX	OAK	46%	264	237	55	10	1	5	21	59	4	3	1	232	305	346	651	114	282	22	8	281	83	-5	+0	-1	-2	+6	-0.2
2033	30	MLB CTX	OAK	46%	260	233	53	9	1	5	21	59	4	3	1	227	302	339	641	112	281	23	8	279	81	-6	+0	-1	-2	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1597	1434	331	59	6	31	125	354	25	18	6	231	304	345	649	114	284	22	8	281	79	-33	+1	-1	-10	+35	-0.8
/ 162G	—	A+C		—	650	584	135	24	2	13	51	144	10	7	2	231	304	346	650	115	284	22	8	281	79	-13	+0	-1	-4	+14	-0.3
Career	—	MLE		—	5017	4498	1022	180	17	90	378	1117	98	61	20	227	301	335	636	108	281	22	8	285	79	-84	+4	-3	-24	+86	-2.1
/ 162G	—	MLE		—	650	583	132	23	2	12	49	145	13	8	3	226	301	334	636	108	279	22	8	285	79	-14	+1	-0	-4	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Tony 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
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#5Jose Castillolast yr '08 career totals — 5 seasons, 2,059 PA	3.1	2,059	39	13	254	296	379	+7	-14	1.9	1.9
/162	664	13	4	+2.4	-4.5	0.6	pk7: 2
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.4	1,599	32	19	228	299	342	-10	+0	0.3	0.4
/162	664	13	8	-4.0	+0.0	0.1	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
Nate Nankil (OGILVIE)	23	45	45	45	51	216/287/298	82	274	4	4	22%	7%	69	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Fiedler 2018 · A	23	47	40→45	47→50	43	227/280/323	97	296	7	8	25%	6%	71	-0.8	220/274/332	112	287	11	9	26%	6%	71	-0.8	206/256/336	130	248	15	10	24%	5%	62	-0.4
✕Ryan Vilade 2022 · AAA	23	47→51	40→55	51→50	43	227/274/326	99	286	7	13	23%	6%	69	-0.9	218/281/311	93	290	7	12	25%	7%	69	-0.9	225/289/385	159	278	18	15	25%	7%	87	+0.3
✕Andre Lipcius 2021 · A	23	47→49	39→45	46→45	44	222/276/309	88	298	6	7	27%	7%	66	-1.1	225/293/345	120	282	11	7	23%	9%	81	-0.1	229/301/358	129	284	15	7	24%	9%	85	+0.2
✕Jefry Marte 2014 · AA	23	47→48	40→55	49→50	44	225/277/315	90	280	7	10	22%	6%	68	-1.0	231/285/358	127	275	14	9	21%	6%	82	-0.0	219/281/381	163	249	20	8	21%	7%	84	+0.1
✕Luke Persico 2019 · A	23	47→51	39→45	44→45	45	223/272/316	93	281	5	5	22%	6%	65	-1.2	221/274/318	97	303	7	7	27%	6%	68	-1.0	200/253/282	82	293	6	3	32%	6%	48	-0.6
✕Tim Kennelly 2010 · AA	23	50→51	40	47→40	47	236/299/341	106	300	5	7	22%	7%	82	+0.0	227/277/316	89	283	6	6	21%	5%	68	-1.0	222/264/298	76	275	5	4	21%	4%	57	-0.9
✕Christian Lopes 2016 · AA	23	45→51	37→45	43→50	47	211/270/281	71	268	4	4	22%	7%	58	-1.7	226/288/323	97	278	7	12	20%	7%	74	-0.6	214/297/334	120	267	12	13	23%	9%	79	-0.1
✕Wyatt Mathisen 2017 · A	23	49→53	38→50	43→40	45	234/288/312	77	293	5	3	21%	6%	71	-0.8	225/299/336	111	287	10	4	24%	7%	82	-0.0	216/303/346	130	274	14	3	25%	8%	84	+0.1
✕Colton Welker 2021 · AA	23	45→55	42→45	47→45	42	223/266/328	106	281	10	5	24%	5%	67	-1.1	215/286/322	107	283	10	6	26%	8%	74	-0.6	193/287/267	73	266	6	3	27%	10%	60	-0.4
✕Dixon Machado 2015 · AA	23	49→54	39→45	47→55	50	230/290/318	89	275	5	10	18%	8%	74	-0.6	238/289/310	72	287	4	12	18%	6%	71	-0.8	222/304/330	107	267	11	4	20%	9%	79	-0.1
✕Jonathan Davis 2015 · A	23	43→52	40→45	49→55	43	207/275/310	103	274	6	7	26%	6%	67	-1.1	211/287/326	115	287	9	17	28%	8%	75	-0.5	219/301/335	116	286	10	22	25%	8%	80	-0.1
✕Allen Córdoba 2019 · MLB	23	42→52	40→45	47→55	40	208/258/301	94	279	8	10	28%	5%	57	-1.8	234/290/336	102	299	8	17	23%	5%	78	-0.3	236/299/336	100	294	8	22	21%	5%	79	-0.1
✕Dorssys Paulino 2018 · AA	23	49	42→45	47→45	44	235/291/337	102	310	9	8	26%	7%	78	-0.3	220/285/332	112	289	11	7	26%	8%	75	-0.5	181/259/298	118	221	13	0	24%	10%	55	-0.5
✕Dustin Peterson 2018 · AAA	23	47→50	39→45	43→45	42	227/275/315	88	292	6	4	24%	6%	67	-1.1	229/270/334	105	304	11	5	27%	5%	70	-0.9	231/275/338	107	290	12	2	24%	5%	70	-0.6
✕Damek Tomscha 2015 · A	23	41→51	39→45	48→40	46	197/280/288	91	251	5	5	22%	7%	64	-1.3	234/298/343	109	283	8	3	20%	6%	83	+0.1	247/309/358	111	294	9	3	18%	5%	88	+0.3
✕Charles Leblanc 2019 · A	23	45→52	40→50	47→45	41	216/267/307	91	300	7	6	30%	6%	62	-1.4	216/267/314	98	307	9	6	31%	6%	63	-1.3	217/303/352	136	309	15	7	32%	10%	84	+0.1
✕Alfredo Marte 2012 · AA	23	46→47	42→50	49→45	40	226/264/331	105	282	9	7	24%	4%	66	-1.1	230/283/359	129	283	13	7	23%	6%	81	-0.1	225/285/357	132	277	13	6	23%	6%	79	-0.1
●Jahmai Jones 2021 · AA	23	41→50	40→50	47→50	45	200/260/289	90	262	7	11	26%	7%	55	-1.9	211/286/329	118	284	11	13	28%	8%	76	-0.4	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Joshua Banuelos 2015 · A	23	49	39→40	49→45	46	233/293/324	91	268	6	8	16%	5%	76	-0.4	232/291/319	87	299	6	5	23%	6%	74	-0.5	238/297/320	83	311	6	2	24%	7%	72	-0.3
✕Taylor Davis 2014 · AA	24	45→54	40→45	44→40	48	215/273/306	91	259	7	5	20%	7%	64	-1.3	248/293/363	115	286	9	4	16%	6%	84	+0.2	263/308/380	117	298	9	1	14%	6%	91	+0.3

Career Stats + Projections

Career Comps

Career Path Comps