Kyle Nevin — OGILVIE

Kyle Nevin3B Tulsa Drillers

Age 24 R/R 6'3" / 200 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION293 act + 10 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG.222 / .300 / .222

PA10

HR0

K%30

BB%10

BABIP304

ISO95

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M ctrl surplus

Tools · ContractCON 50 / POW 40

Toolsscout grade

CONTACT50

scouting grade only

POWER40

scouting grade only

EYE40

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.2M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.4M	+$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)
2022	20	A	Rancho Cucamonga Quakes	—	77	69	12	6	1	0	4	15	2	2	0	174	240	290	530	116	214	19	5	235	45	-5	+0	—	—	+2	-0.3
2023	21	A	Rancho Cucamonga Quakes	—	209	186	58	11	2	5	20	47	3	3	4	312	388	473	861	161	396	22	10	383	146	+11	-1	—	—	+5	1.5
2024	22	A+	Great Lakes Loons	—	519	457	108	15	5	8	54	163	4	18	6	236	322	344	666	107	345	31	10	302	91	-6	+1	—	—	+11	0.7
2025	23	AA	Tulsa Drillers	—	203	181	49	7	1	4	19	47	0	9	0	271	340	387	727	116	338	23	9	323	105	+1	+2	—	—	+4	0.8
2025	23	A+	Great Lakes Loons	—	76	63	17	4	1	3	11	13	2	1	1	270	395	508	903	238	298	17	14	398	156	+5	-0	—	—	+2	0.7
2025	23	ROK	ACL Dodgers	—	27	23	7	3	0	0	2	7	1	0	0	304	385	435	819	130	412	26	7	356	127	+1	+0	—	—	+1	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	20	A MLE	Rancho Cucamonga Quakes	—	77	70	10	5	1	0	3	22	2	2	0	143	200	243	443	100	192	29	4	190	15	-8	+0	—	—	+2	-0.6
2023	21	A MLE	Rancho Cucamonga Quakes	—	209	191	51	9	2	4	15	65	3	3	4	267	330	398	728	131	372	31	7	309	95	-1	-1	—	—	+5	0.2
2024	22	A+ MLE	Great Lakes Loons	—	519	475	86	12	4	6	36	222	4	18	6	181	245	261	506	80	310	43	7	224	38	-38	+1	—	—	+11	-2.7
2025	23	AA MLE	Tulsa Drillers	—	203	188	46	6	1	3	12	58	0	9	0	245	290	335	625	90	323	29	6	277	74	-6	+2	—	—	+4	-0.0
2025	23	A+ MLE	Great Lakes Loons	—	76	66	15	4	1	2	8	18	2	1	1	227	329	409	738	182	268	24	11	317	101	+0	-0	—	—	+2	0.2
2025	23	ROK MLE	ACL Dodgers	—	27	24	5	2	0	0	1	10	1	0	0	208	269	292	561	83	308	37	4	244	51	-2	+0	—	—	+1	-0.1
2022	20	A MLE	Rancho Cucamonga Quakes	—	77	70	10	5	1	0	3	22	2	2	0	143	200	243	443	100	200	29	4	190	15	—	—	—	—	—	—
2022	20	A RAW	Rancho Cucamonga Quakes	—	77	69	12	6	1	0	4	15	2	2	0	174	240	290	530	116	214	19	5	235	15	—	—	—	—	—	—
2023	21	A MLE	Rancho Cucamonga Quakes	—	209	191	51	9	2	4	15	65	3	3	4	267	330	398	728	131	385	31	7	309	95	—	—	—	—	—	—
2023	21	A RAW	Rancho Cucamonga Quakes	—	209	186	58	11	2	5	20	47	3	3	4	312	388	473	861	161	396	22	10	383	95	—	—	—	—	—	—
2024	22	A+ MLE	Great Lakes Loons	—	519	475	86	12	4	6	36	222	4	18	6	181	245	261	506	80	319	43	7	224	38	—	—	—	—	—	—
2024	22	A+ RAW	Great Lakes Loons	—	519	457	108	15	5	8	54	163	4	18	6	236	322	344	666	107	345	31	10	302	38	—	—	—	—	—	—
2025	23	AA MLE	3 teams	—	306	278	66	11	2	6	21	86	3	10	1	237	298	356	654	119	316	28	7	284	78	—	—	—	—	—	—
2025	23	AA RAW	3 teams	—	306	267	73	14	2	7	32	67	3	10	1	273	358	419	777	146	335	22	10	345	78	—	—	—	—	—	—
2022	20	A MLE	Rancho Cucamonga Quakes	—	77	72	10	5	1	0	3	22	2	2	0	139	200	236	436	97	192	29	4	190	15	—	—	—	—	—	—
2023	21	A MLE	Rancho Cucamonga Quakes	—	209	189	51	9	2	4	15	65	3	3	4	270	330	402	732	132	372	31	7	309	95	—	—	—	—	—	—
2024	22	A+ MLE	Great Lakes Loons	—	519	474	86	12	4	6	36	222	4	18	6	181	245	262	506	80	310	43	7	224	38	—	—	—	—	—	—
2025	23	AA MLE	3 teams	—	306	279	66	11	2	6	21	86	3	10	1	237	298	355	653	118	308	28	7	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A MLE	Rancho Cucamonga Quakes	—	209	189	51	9	2	4	15	65	3	3	4	270	330	402	732	132	372	31	7	309	95	—	—	—	—	—	—
2024	22	A+ MLE	Great Lakes Loons	—	519	474	86	12	4	6	36	222	4	18	6	181	245	262	506	80	310	43	7	224	38	—	—	—	—	—	—
2025	23	AA MLE	3 teams	—	306	279	66	11	2	6	21	86	3	10	1	237	298	355	653	118	308	28	7	284	78	—	—	—	—	—	—
YTD	24	AA MLE	LAD	—	293	265	69	10	0	5	18	68	5	11	2	260	319	355	674	94	325	23	6	294	85	-5	+1	+0	+1	+6	0.4
▸ 2026 season
YTD	24	AA RAW	LAD	—	293	257	72	11	0	6	26	56	5	11	2	280	358	393	751	113	330	19	9	335	85	—	—	—	—	—	—
ROS	24	AA MLE	LAD	2%	10	9	2	0	0	0	1	3	0	0	0	222	300	222	522		308	30	10	277	73	-0	+0	+0	+0	+0	-0.0
TOT	24	AA MLE	LAD	—	303	274	71	10	0	5	19	71	5	11	2	259	319	350	669	91	325	23	6	293	85	-6	+1	+0	+1	+7	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	LAD	31%	334	304	70	11	1	6	23	91	4	8	2	230	293	332	625	102	306	27	7	284	78	-9	+1	+0	+1	+7	0.1
2028	26	MLB MLE	LAD	45%	381	347	81	13	1	8	27	102	4	9	2	233	296	346	642	112	305	27	7	288	81	-9	+1	+0	+1	+8	0.2
2029	27	MLB MLE	LAD	49%	400	363	84	14	1	8	29	107	5	10	2	231	297	342	639	110	304	27	7	290	82	-8	+1	+0	+1	+9	0.3
2030	28	MLB MLE	LAD	52%	411	373	86	14	1	8	30	110	5	9	2	231	297	338	634	107	303	27	7	290	82	-9	+1	-1	+1	+9	0.2
2031	29	MLB MLE	LAD	52%	410	372	85	14	1	8	30	110	5	9	2	228	295	336	631	108	302	27	7	288	81	-9	+1	-1	+1	+9	0.1
2032	30	MLB MLE	LAD	52%	406	368	85	14	1	8	30	110	5	8	2	231	298	340	637	109	301	27	7	285	79	-10	+1	-2	+1	+9	-0.1
2027	25	MLB CTX	LAD	31%	104	95	21	3	0	2	7	28	1	3	1	221	282	316	597	95	302	27	7	274	78	-3	+0	+0	+0	+2	0.0
2028	26	MLB CTX	LAD	45%	170	154	36	6	0	4	12	46	2	4	1	234	298	351	648	117	301	27	7	278	81	-4	+0	+0	+1	+4	0.1
2029	27	MLB CTX	LAD	49%	197	179	42	7	1	4	14	53	2	5	1	235	297	352	649	117	300	27	7	280	82	-4	+1	+0	+1	+4	0.1
2030	28	MLB CTX	LAD	52%	212	192	45	7	1	5	16	57	2	5	1	234	300	359	659	125	299	27	8	280	82	-5	+1	-0	+1	+5	0.1
2031	29	MLB CTX	LAD	52%	211	191	44	7	1	4	16	57	2	4	1	230	297	340	637	110	298	27	8	278	81	-5	+0	-1	+1	+5	0.0
2032	30	MLB CTX	LAD	52%	209	189	42	7	0	4	16	57	2	4	1	222	290	323	613	101	297	27	8	275	79	-5	+0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1103	1000	230	37	3	23	81	298	11	25	6	230	295	342	637	112	302	27	7	278	73	-25	+3	-2	+4	+24	0.3
/ 162G	—	A+C		—	650	589	136	22	2	14	48	176	6	15	4	231	295	346	642	115	303	27	7	278	73	-15	+2	-1	+2	+14	0.2
Career	—	MLE		—	3463	3150	706	117	15	62	245	1028	40	86	23	224	289	330	618	106	309	30	7	277	73	-54	+6	-4	+8	+51	0.7
/ 162G	—	MLE		—	650	591	133	22	3	12	46	193	8	16	4	225	290	333	623	108	310	30	7	277	73	-15	+2	-1	+2	+14	0.2

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
#2Tony 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
#3Dustin 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
#4Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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	1.7	1,109	22	25	232	294	343	-7	+0	0.1	0.2
/162	664	13	15	-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
Kyle Nevin (OGILVIE)	24	50	40	55	40	227/287/320	93	308	5	8	28%	7%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daz Cameron 2021 · MLB	24	41→45	43→50	52→55	42	198/270/313	115	288	9	16	33%	7%	65	-1.2	211/274/338	127	291	13	20	30%	7%	73	-0.6	225/296/393	168	284	19	27	27%	8%	91	+0.3
✕Kevin Heller 2014 · AA	24	43→47	39→45	53→50	40	205/268/292	87	298	7	10	32%	6%	59	-1.6	209/288/312	103	311	9	11	33%	7%	73	-0.6	203/289/305	102	306	9	12	33%	7%	70	-0.6
✕Brandon Lockridge 2021 · A	24	41→51	43→45	50→65	37	202/252/319	117	294	10	12	34%	5%	59	-1.6	226/275/349	123	321	13	22	32%	6%	76	-0.4	253/321/335	81	356	3	53	27%	8%	85	+0.2
✕Ryan McKenna 2021 · AA	24	45→55	41→45	49→55	45	215/279/319	104	287	8	15	27%	7%	70	-0.8	218/292/347	129	321	14	13	34%	9%	82	-0.0	213/291/342	129	316	14	13	34%	9%	78	-0.1
✕Lane Adams 2014 · AA	24	45→46	43→45	55→60	41	220/271/332	112	293	11	19	28%	6%	70	-0.9	226/280/341	115	296	11	28	26%	6%	75	-0.5	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Cade Gotta 2016 · A	24	41→51	41→45	53→55	43	199/259/302	103	276	7	15	30%	7%	58	-1.7	232/279/331	99	295	6	27	22%	6%	72	-0.7	244/303/339	95	309	5	36	21%	8%	81	-0.0
✕Greg Golson 2011 · MLB	25	46→50	40→45	54→55	37	223/260/319	96	304	7	19	29%	4%	61	-1.5	227/267/329	102	314	8	20	29%	4%	67	-1.1	258/312/342	84	366	4	31	29%	5%	82	+0.0
✕Kelvin Gutiérrez 2019 · AA	24	48→58	40→45	55→50	40	232/273/327	95	310	7	14	27%	5%	69	-0.9	230/280/331	101	312	10	12	28%	6%	72	-0.7	225/279/321	97	300	9	9	27%	6%	68	-0.6
✕Barrett Barnes 2015 · A	24	43→52	44→45	51→50	43	213/277/330	117	286	12	14	29%	7%	72	-0.7	227/293/347	120	297	10	12	26%	7%	82	-0.0	229/296/349	120	303	9	12	26%	7%	81	-0.0
✕Michael Guldberg 2023 · AA	24	46	39→45	50→55	45	221/285/308	87	284	6	13	24%	7%	70	-0.9	214/266/306	92	287	7	11	27%	6%	61	-1.5	183/220/262	79	246	7	10	28%	4%	30	-0.9
✕Brandon Short 2013 · AA	24	49→53	43→45	47→50	39	237/282/353	116	314	10	12	27%	4%	78	-0.3	206/261/303	97	272	6	8	25%	6%	59	-1.6	189/246/281	93	247	5	6	25%	6%	47	-1.2
✕Corey Julks 2021 · AA	25	44→51	40→50	49→55	44	209/275/304	95	291	7	12	29%	8%	65	-1.2	226/283/374	148	293	17	17	28%	7%	84	+0.2	226/286/381	155	284	18	21	27%	7%	84	+0.1
✕Anthony Alford 2018 · AA	24	48→51	40→45	53→55	45	222/297/317	95	323	8	20	32%	8%	76	-0.4	212/276/311	99	314	8	23	33%	6%	68	-1.0	208/278/326	117	325	12	24	37%	7%	69	-0.6
✕Ramon R Ramirez 2015 · AAA	24	50→57	40→45	50	37	241/271/334	93	315	8	14	26%	3%	70	-0.9	229/268/323	94	303	8	10	26%	4%	66	-1.1	232/269/326	94	307	8	8	26%	4%	64	-0.6
✕Travis Jones 2021 · AA	25	48→51	40	52→55	40	222/298/311	88	320	8	21	31%	6%	76	-0.4	211/297/316	105	310	10	12	32%	9%	77	-0.3	181/288/271	90	268	10	10	33%	11%	61	-0.6
✕Corey Toups 2018 · AAA	25	44→50	43→45	55→50	40	215/274/330	115	303	9	16	31%	6%	71	-0.8	209/272/313	104	324	9	15	36%	7%	66	-1.1	186/255/266	79	307	8	19	39%	7%	46	-1.2
✕Sean Godfrey 2016 · AA	24	48→47	40→45	50→55	37	233/259/327	95	291	7	15	23%	3%	63	-1.4	224/260/326	102	297	8	12	26%	4%	63	-1.3	216/240/334	119	298	8	8	30%	3%	53	-0.4
✕Christopher Bostick 2017 · AAA	24	43→53	42→45	52→55	39	212/257/320	108	280	8	15	27%	5%	61	-1.5	233/282/335	102	306	7	9	25%	6%	74	-0.5	235/286/338	103	306	8	7	25%	5%	73	-0.5
✕Johnni Turbo 2013 · AA	24	48→52	39→40	56→55	38	230/264/316	86	302	6	18	26%	4%	62	-1.4	242/275/327	85	293	5	17	19%	3%	69	-0.9	244/281/309	65	298	2	18	18%	4%	64	-0.4
✕Matthew Batten 2019 · AA	24	48→53	38→40	53→55	44	222/287/301	79	323	6	15	31%	8%	68	-1.0	226/277/310	84	325	6	15	30%	6%	66	-1.1	214/289/304	90	299	9	27	29%	9%	68	-0.8

Career Stats + Projections

Career Comps

Career Path Comps