Nolan Sailors — OGILVIE

Nolan SailorsRF Quad Cities River Bandits

Age 23 L/R 6'0" / 190 lbs A+ HR -15%K -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION450 act + 9 ros · stats below = ROS only

showingROS

wRC+†73

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

PA9

HR0

K%33

BB%11

BABIP308

ISO89

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 34 / POW 39

Toolsscout grade

CONTACT34

scouting grade only

POWER39

scouting grade only

EYE61

scouting grade only

SPEED71

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		$-2M	+$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)
2025	22	A+	Quad Cities River Bandits	—	133	106	30	5	2	0	20	28	4	17	4	283	415	368	783	85	380	21	15	356	127	+4	+2	—	—	+3	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Quad Cities River Bandits	—	133	112	27	4	2	0	14	38	4	17	4	241	346	312	659	71	345	29	11	295	86	-2	+2	—	—	+3	0.2
2025	22	A+ MLE	Quad Cities River Bandits	—	133	112	27	4	2	0	14	38	4	17	4	241	346	312	659	71	360	29	11	295	86	—	—	—	—	—	—
2025	22	A+ RAW	Quad Cities River Bandits	—	133	106	30	5	2	0	20	28	4	17	4	283	415	368	783	85	380	21	15	356	86	—	—	—	—	—	—
2025	22	A+ MLE	Quad Cities River Bandits	—	133	114	27	4	2	0	14	38	4	17	4	237	346	307	653	70	345	29	11	295	86	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A+ MLE	Quad Cities River Bandits	—	133	114	27	4	2	0	14	38	4	17	4	237	346	307	653	70	345	29	11	295	86	—	—	—	—	—	—
YTD	23	A+ MLE	KC	—	450	392	88	14	8	5	43	153	3	35	8	224	306	339	645	115	353	34	10	280	76	-13	+4	+0	-5	+10	-0.4
▸ 2026 season
YTD	23	A+ RAW	KC	—	450	372	98	16	10	6	62	113	3	35	8	263	372	409	781	145	362	25	14	343	76	—	—	—	—	—	—
ROS	23	A+ MLE	KC	0%	9	8	1	0	0	0	1	3	0	1	0	125	222	125	347		309	33	11	276	73	-0	+0	+0	-0	+0	0.0
TOT	23	A+ MLE	KC	—	459	400	89	14	8	5	44	156	3	36	8	223	304	335	639	113	350	34	10	280	76	-13	+4	+0	-5	+10	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	KC	30%	341	302	65	11	4	5	33	103	3	13	3	215	299	328	627	113	308	30	10	286	79	-8	+1	+0	-4	+7	-0.3
2028	25	MLB MLE	KC	44%	391	347	77	13	5	7	38	116	3	14	3	222	304	349	653	127	307	30	10	292	84	-8	+2	+0	-4	+8	-0.2
2029	26	MLB MLE	KC	51%	421	373	83	14	5	8	41	123	4	14	3	223	306	351	657	129	306	29	10	295	86	-7	+2	+0	-5	+9	-0.1
2030	27	MLB MLE	KC	52%	429	380	85	15	5	8	42	125	4	14	3	224	308	353	660	129	305	29	10	296	86	-7	+2	+0	-5	+9	-0.1
2031	28	MLB MLE	KC	53%	432	383	85	15	5	8	42	126	4	13	3	222	305	350	655	128	305	29	10	295	85	-7	+1	-1	-5	+9	-0.2
2032	29	MLB MLE	KC	53%	425	376	83	14	5	8	42	125	4	13	3	221	306	348	654	128	304	29	10	293	84	-8	+1	-1	-5	+9	-0.3
2033	30	MLB MLE	KC	52%	418	371	80	14	4	7	41	124	3	12	3	216	299	332	630	116	302	30	10	290	82	-9	+1	-2	-4	+9	-0.5
2027	24	MLB CTX	KC	30%	103	91	19	3	1	1	10	31	1	4	1	209	294	297	591	88	306	30	10	277	79	-3	+0	+0	-1	+2	-0.1
2028	25	MLB CTX	KC	44%	173	153	34	6	2	3	17	51	1	6	1	222	304	346	650	124	304	29	10	282	84	-3	+1	+0	-2	+4	-0.1
2029	26	MLB CTX	KC	51%	214	189	42	7	3	4	21	63	2	7	2	222	307	354	661	132	303	29	10	285	86	-4	+1	+0	-2	+5	-0.1
2030	27	MLB CTX	KC	52%	225	199	44	7	3	4	22	66	2	7	2	221	305	347	652	126	303	29	10	286	86	-4	+1	+0	-2	+5	-0.1
2031	28	MLB CTX	KC	53%	230	203	45	8	3	4	23	67	2	7	2	222	307	350	657	128	302	29	10	285	85	-4	+1	-0	-2	+5	-0.1
2032	29	MLB CTX	KC	53%	223	197	43	7	3	4	22	66	2	7	2	218	303	345	648	127	301	30	10	283	84	-4	+1	-1	-2	+5	-0.2
2033	30	MLB CTX	KC	52%	218	192	42	7	3	4	22	65	2	6	1	219	306	349	655	130	300	30	10	280	82	-5	+1	-1	-2	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1386	1224	269	45	18	24	137	409	12	44	11	220	304	345	649	125	307	30	10	283	84	-26	+4	-2	-15	+30	-0.9
/ 162G	—	A+C		—	650	574	125	21	8	11	64	192	6	21	5	218	303	340	643	122	305	30	10	283	84	-12	+2	-1	-7	+14	-0.4
Career	—	MLE		—	2999	2652	586	100	35	51	294	883	29	111	25	221	306	343	648	122	309	29	10	292	84	-55	+10	-4	-31	+62	-1.8
/ 162G	—	MLE		—	650	575	128	22	8	11	64	191	6	24	5	223	307	346	653	123	311	29	10	292	84	-12	+2	-1	-7	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace 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
#2Michael 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
#3Gregory 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
#4Tony 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
#5Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.1	1,387	25	45	221	301	345	-8	+0	0.9	0.9
/162	664	12	21	-4.0	+0.0	0.4	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

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
Nolan Sailors (OGILVIE)	23	29→34	34→39	66→71	61	208/291/309	100	309	2	12	32%	10%	73	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Max Ferguson 2023 · A	23	37→34	39→40	63→60	52	176/280/265	89	267	6	32	33%	12%	60	-1.6	181/266/271	90	273	8	28	33%	10%	55	-2.0	178/257/269	91	255	10	28	32%	9%	48	-1.6
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Leon Johnson 2008 · A	23	49	40	58→60	50	229/302/326	97	301	6	22	24%	9%	80	-0.2	218/282/296	78	282	5	17	23%	7%	65	-1.2	200/262/221	21	248	0	22	18%	6%	38	-0.7
✕Jon Matthews 2014 · A	23	42	38→40	58→60	41	198/263/275	77	278	5	25	29%	6%	54	-2.0	229/296/296	67	312	3	16	25%	8%	70	-0.8	240/310/292	52	324	2	16	24%	8%	72	-0.3
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Darin Mastroianni 2009 · A	23	42→52	38→40	60	41	201/253/277	76	278	5	22	29%	6%	50	-2.3	248/313/323	75	316	3	35	21%	8%	82	+0.0	257/324/332	75	320	2	38	19%	8%	85	+0.2
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Rudy Martin Jr. 2019 · A	23	43	41→45	59→65	38	199/265/302	103	328	9	30	39%	7%	61	-1.5	189/252/286	97	313	10	26	40%	7%	53	-2.1	229/304/333	104	308	11	52	28%	9%	79	-0.1
✕Adonis Pacheco 2013 · A	22	45	39→50	57→55	45	213/271/312	99	277	4	16	24%	7%	65	-1.2	204/258/296	92	260	5	11	22%	6%	56	-1.9	160/206/240	80	191	3	9	17%	6%	22	-1.2
✕David Hamilton 2022 · AA	24	43→42	42→50	65→70	46	209/270/321	112	273	8	36	26%	8%	67	-1.1	209/277/330	121	275	12	50	27%	8%	72	-0.7	226/287/352	126	279	13	56	23%	8%	79	-0.1
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Corey Rosier 2023 · A	23	47→52	42→40	62→60	49	227/302/337	110	300	8	28	26%	9%	82	+0.0	216/278/313	97	290	7	33	26%	7%	68	-1.0	208/271/300	92	276	7	36	26%	7%	60	-1.0
✕Ryan Rogowski 2008 · A	24	47→46	39→40	61→55	50	221/291/321	100	275	4	25	20%	8%	74	-0.5	219/287/304	85	271	5	25	20%	8%	70	-0.9	216/288/286	69	261	5	32	18%	8%	63	-1.0
✕James Ramsay 2015 · A	23	43→53	38→40	58→50	46	201/270/296	95	279	4	19	28%	8%	61	-1.5	224/282/323	99	285	7	11	23%	7%	72	-0.7	229/285/325	97	283	8	8	21%	7%	70	-0.7
✕Michael Siani 2022 · A	23	38→45	39→40	55→60	42	185/255/269	84	272	7	25	33%	8%	50	-2.3	206/277/304	98	273	9	30	26%	8%	65	-1.2	207/279/299	92	270	8	33	25%	8%	63	-1.1
✕Matt Rudick 2022 · A	24	45→42	39→45	56→50	49	217/284/308	92	271	6	11	22%	8%	69	-0.9	210/297/315	105	263	8	14	22%	9%	76	-0.4	205/296/315	110	257	9	15	22%	9%	74	-0.4
✕Donta' Williams 2023 · A	24	44→33	39→40	56→55	48	204/291/294	90	301	5	21	31%	10%	70	-0.9	186/272/268	82	284	5	20	33%	9%	57	-1.8	164/254/234	71	252	5	20	34%	9%	40	-1.3
✕Anthony Norman 2008 · A	23	53→42	37→50	61→55	48	245/303/328	84	291	2	12	16%	6%	80	-0.2	221/300/359	138	271	13	18	22%	8%	88	+0.4	210/294/354	144	265	13	22	24%	9%	81	-0.0
✕Brock Deatherage 2019 · A	23	52→32	40	59→60	37	235/283/332	97	363	7	20	35%	6%	74	-0.6	194/234/291	97	310	7	26	38%	4%	46	-2.6	164/199/256	92	263	7	36	39%	3%	22	-3.5
✕Victor Labrada 2023 · A	23	42→52	41→45	54→60	39	199/264/301	102	310	8	21	36%	7%	60	-1.6	216/283/316	100	307	8	31	30%	7%	71	-0.8	229/311/347	118	299	10	36	25%	8%	86	+0.2

Career Stats + Projections

Career Comps

Career Path Comps