Ryan Clifford — OGILVIE

Ryan Clifford1B Syracuse Mets

Age 23 L/L 6'3" / 200 lbs AAA H -5% Svc 0.0 · Ctrl thru 2031

2026 ROS PROJECTION451 act + 10 ros · stats below = ROS only

showingROS

wRC+†54

AVG/OBP/SLG—

PA1

HR0

K%40

BB%10

BABIP242

ISO166

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

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

Tools · ContractCON 41 / POW 61

Toolsscout grade

CONTACT41

scouting grade only

POWER61

scouting grade only

EYE55

scouting grade only

SPEED41

scouting grade only

DEFENSE47

scouting grade only

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

Status Pre-Arb

MLB Debut 2026

Service 0 yrs (est)

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Pre-Arb	$0.1M	—	—	—
2027	Pre-Arb	$0.8M	—	—	—
2028	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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	19	A	Fayetteville Woodpeckers	—	51	41	11	2	0	1	10	15	0	0	0	268	412	390	802	122	400	29	20	370	136	+2	+0	—	—	+1	0.3
2022	19	ROK	FCL Astros Orange	—	50	36	8	3	0	1	12	16	2	2	0	222	440	389	829	167	368	32	24	388	149	+3	+0	—	—	+1	0.4
2023	20	A+	Brooklyn Cyclones	—	390	331	80	15	0	22	39	113	13	2	1	242	345	486	831	245	286	29	10	361	130	+14	+0	—	—	+8	2.3
2023	20	A	Fayetteville Woodpeckers	—	121	92	31	5	0	2	25	27	3	3	1	337	492	457	948	120	453	22	21	429	177	+11	+0	—	—	+3	1.4
2024	21	AA	Binghamton Rumble Ponies	—	405	333	77	21	0	18	63	117	5	3	2	231	361	456	817	225	294	29	16	362	131	+15	-0	—	—	+9	2.4
2024	21	A+	Brooklyn Cyclones	—	136	102	22	6	0	1	32	43	2	1	0	216	412	304	716	88	362	32	24	347	121	+3	+0	—	—	+3	0.7
2025	22	AAA	Syracuse Mets	—	142	114	25	5	0	5	22	35	4	3	2	219	364	395	759	175	263	25	15	343	118	+3	-0	—	—	+3	0.6
2025	22	AA	Binghamton Rumble Ponies	—	437	367	89	18	1	24	63	113	3	4	2	243	358	493	851	251	278	26	14	372	138	+20	+0	—	—	+9	3.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	19	A MLE	Fayetteville Woodpeckers	—	51	45	10	2	0	1	6	22	0	0	0	222	314	333	647	111	374	43	12	271	70	-2	+0	—	—	+1	-0.1
2022	19	ROK MLE	FCL Astros Orange	—	50	41	6	2	0	1	7	23	2	2	0	146	300	268	568	122	286	46	14	250	55	-3	+0	—	—	+1	-0.1
2023	20	A+ MLE	Brooklyn Cyclones	—	390	343	64	11	0	16	27	149	13	2	1	187	272	359	630	172	243	38	7	270	69	-14	+0	—	—	+8	-0.6
2023	20	A MLE	Fayetteville Woodpeckers	—	121	101	29	4	0	2	16	38	3	3	1	287	400	386	786	99	420	31	13	347	121	+3	+0	—	—	+3	0.6
2024	21	AA MLE	Binghamton Rumble Ponies	—	405	355	72	19	0	17	42	136	5	3	2	203	296	400	696	197	266	34	10	307	94	-3	-0	—	—	+9	0.6
2024	21	A+ MLE	Brooklyn Cyclones	—	136	112	17	4	0	1	22	58	2	1	0	152	301	214	516	62	311	43	16	247	53	-8	+0	—	—	+3	-0.4
2025	22	AAA MLE	Syracuse Mets	—	142	121	21	4	0	3	15	43	4	3	2	174	286	281	567	107	224	30	11	259	61	-7	-0	—	—	+3	-0.4
2025	22	AA MLE	Binghamton Rumble Ponies	—	437	386	79	16	1	19	44	136	3	4	2	205	291	399	690	194	254	31	10	301	90	-5	+0	—	—	+9	0.4
2022	19	A MLE	2 teams	—	101	85	14	3	0	1	14	45	2	2	0	165	297	235	532	71	333	45	14	261	63	—	—	—	—	—	—
2022	19	A RAW	2 teams	—	101	77	19	5	0	2	22	31	2	2	0	247	426	390	815	143	386	31	22	379	63	—	—	—	—	—	—
2023	20	A+ MLE	2 teams	—	511	445	93	15	0	18	42	186	16	5	2	209	300	364	664	155	301	36	8	288	81	—	—	—	—	—	—
2023	20	A+ RAW	2 teams	—	511	423	111	20	0	24	64	140	16	5	2	262	380	480	860	217	326	27	13	377	81	—	—	—	—	—	—
2024	21	AA MLE	2 teams	—	541	468	90	24	0	18	63	195	7	4	2	192	297	359	656	167	279	36	12	292	84	—	—	—	—	—	—
2024	21	AA RAW	2 teams	—	541	435	99	27	0	19	95	160	7	4	2	228	374	421	794	193	309	30	18	358	84	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	579	507	100	20	1	22	59	179	7	7	4	197	290	371	661	174	250	31	10	291	83	—	—	—	—	—	—
2025	22	AA RAW	2 teams	—	579	481	114	23	1	29	85	148	7	7	4	237	360	470	829	233	274	26	15	365	83	—	—	—	—	—	—
2022	19	A MLE	2 teams	—	101	84	14	3	0	1	14	45	2	2	0	167	297	238	535	71	330	45	14	261	63	—	—	—	—	—	—
2023	20	A+ MLE	2 teams	—	511	448	93	15	0	18	42	186	16	5	2	208	300	362	662	154	285	36	8	288	81	—	—	—	—	—	—
2024	21	AA MLE	2 teams	—	541	466	90	24	0	18	63	195	7	4	2	193	297	361	658	167	277	36	12	292	84	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	579	508	100	20	1	22	59	179	7	7	4	197	290	370	660	173	247	31	10	291	83	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	2 teams	—	511	448	93	15	0	18	42	186	16	5	2	208	300	362	662	154	285	36	8	288	81	—	—	—	—	—	—
2024	21	AA MLE	2 teams	—	541	466	90	24	0	18	63	195	7	4	2	193	297	361	658	167	277	36	12	292	84	—	—	—	—	—	—
2025	22	AA MLE	2 teams	—	579	508	100	20	1	22	59	179	7	7	4	197	290	370	660	173	247	31	10	291	83	—	—	—	—	—	—
YTD	23	AAA MLE	NYM	—	451	411	54	12	1	11	34	203	2	8	3	131	201	246	447	114	215	45	8	202	23	-41	+0	+0	-8	+10	-4.0
▸ 2026 season
YTD	23	AAA RAW	NYM	—	451	395	70	16	1	17	50	169	2	8	3	177	273	352	625	175	250	37	11	280	23	—	—	—	—	—	—
ROS	23	AAA MLE	NYM	10%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		249	40	10	248	54	-1	+0	-0	-0	+0	-0.1
▸ 2026 season — projected rest
ROS	23	MLB CTX	NYM	10%	1	1	0	0	0	0	0	0	0	0	0						242	0	0	240	54	-0	+0	-0	-0	+0	-0.0
FULL	23	MLB A+C	NYM	—	1	1	0	0	0	0	0	0	0	0	0							0	0	240	24	-0	+0	-0	-0	+0	-0.0
TOT	23	AAA MLE	NYM	—	461	420	55	12	1	11	35	207	2	8	3	131	201	243	444	112	215	45	8	203	24	-42	+0	-0	-8	+10	-4.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	NYM	35%	570	512	92	20	1	19	49	215	4	7	3	180	257	334	591	154	258	38	9	267	67	-23	+0	-1	-10	+12	-2.2
2027	24	MLB CTX	NYM	35%	198	178	32	7	0	7	17	75	1	3	1	180	255	337	592	157	251	38	9	258	67	-8	+0	-0	-4	+4	-0.7
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	199	179	32	7	0	7	17	75	1	3	1	179	254	335	589	156	255	38	9	258	78	-8	+0	-0	-4	+4	-0.7
/ 162G	—	A+C		—	650	585	105	23	0	23	56	245	3	10	3	179	255	337	591	157	256	38	9	258	78	-26	+1	-1	-12	+14	-2.4
Career	—	MLE		—	2312	2026	390	82	2	78	228	824	36	25	11	192	286	350	636	158	273	36	10	283	78	-23	+0	-1	-10	+13	-2.2
/ 162G	—	MLE		—	650	570	110	23	1	22	64	232	10	7	3	193	286	353	639	160	273	36	10	283	78	-26	+0	-1	-12	+14	-2.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#3John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#4Jake 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
#5Nick 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 1 projected seasons	0.3	230	8	3	184	260	344	-4	-1	-0.6	-0.3
/162	664	23	8	-11.9	-3.1	-1.8	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Ryan Clifford (OGILVIE)	23	30→41	45→61	40→41	55	165/241/304	139	249	10	5	40%	8%	54	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bobby Bradley 2019 · AAA	23	37→40	55→60	46→40	40	204/263/386	181	268	23	3	33%	7%	80	-0.1	208/268/403	195	290	26	3	37%	7%	86	+0.3	181/250/370	189	256	27	0	40%	7%	70	-0.5
✕Enmanuel Valdez 2022 · AA	23	36→46	52→55	45	41	201/254/364	163	248	21	7	29%	6%	72	-0.7	224/286/392	168	277	21	8	26%	8%	90	+0.6	220/286/384	164	268	21	8	26%	8%	86	+0.2
✕Christin Stewart 2017 · AA	23	40→49	52→55	46→45	48	208/301/377	169	281	20	5	32%	10%	93	+0.8	217/292/378	161	280	19	3	28%	8%	89	+0.5	222/297/388	165	279	20	1	27%	8%	91	+0.5
✕George Valera 2023 · AAA	22	42→40	51→50	44→45	48	214/298/373	159	287	19	6	31%	10%	90	+0.6	209/285/349	140	293	16	6	32%	9%	80	-0.2	215/282/349	134	280	16	5	28%	8%	76	-0.2
✕Wes Clarke 2023 · AA	23	36→38	48→50	41→40	50	188/288/330	142	266	16	3	34%	11%	78	-0.3	197/295/354	157	295	19	5	37%	11%	85	+0.2	188/293/345	157	273	20	4	36%	12%	81	-0.1
✕Michael Toglia 2023 · MLB	24	37→39	52→55	47→45	42	197/266/362	164	283	21	8	37%	8%	76	-0.4	199/274/366	167	274	21	7	34%	9%	80	-0.2	202/279/386	184	273	24	7	34%	9%	83	+0.1
✕Alex Binelas 2023 · AA	23	35→43	53→50	51→50	42	193/260/363	170	265	22	7	36%	8%	74	-0.5	201/266/345	144	297	17	12	36%	8%	72	-0.7	219/299/362	143	313	18	8	34%	10%	85	+0.2
✕Nick Pratto 2022 · AAA	23	38→45	56→55	50	44	203/284/399	197	290	24	11	37%	9%	91	+0.7	200/283/357	157	300	19	8	37%	9%	81	-0.1	188/269/321	133	288	16	8	38%	9%	66	-1.0
●Jack Suwinski 2022 · AA	24	41→43	50→60	45→50	45	206/286/361	155	299	18	9	36%	10%	83	+0.1	213/300/408	195	287	25	11	33%	10%	99	+1.3	203/294/400	197	265	26	11	33%	10%	92	+0.7
✕Addison Barger 2023 · AAA	23	43→45	52→55	46→45	38	221/277/386	165	315	21	7	36%	6%	85	+0.2	221/287/374	153	287	17	7	28%	8%	86	+0.3	218/289/380	162	269	18	6	25%	8%	85	+0.2
✕Jon Singleton 2015 · MLB	23	38→48	51→55	42→45	50	198/291/359	161	277	20	4	34%	12%	85	+0.2	186/280/341	155	247	19	4	31%	11%	77	-0.3	203/305/370	167	261	22	1	30%	13%	90	+0.5
✕Michael Burgess 2012 · AA	23	39→42	48→50	45	42	202/268/345	143	270	16	4	31%	7%	73	-0.6	210/265/349	139	269	14	3	27%	7%	72	-0.7	213/261/361	148	264	15	2	25%	6%	72	-0.5
✕Richie Robnett 2007 · AA	23	41→45	49→50	44→45	42	208/274/352	143	297	18	6	35%	8%	76	-0.4	215/265/339	124	303	12	6	31%	6%	69	-0.9	211/257/330	119	294	10	5	31%	5%	62	-1.0
✕Josh Ockimey 2021 · AAA	25	37→45	51→50	42→30	48	195/287/353	158	282	19	4	36%	11%	82	-0.0	194/285/326	132	293	15	4	36%	11%	75	-0.5	176/274/300	124	263	14	2	36%	11%	63	-1.0
●Spencer Torkelson 2023 · MLB	23	41→45	50→60	41→40	50	211/295/365	154	264	18	4	27%	10%	88	+0.4	226/307/413	187	281	23	3	27%	10%	103	+1.5	228/314/430	201	280	26	2	27%	10%	106	+2.0
✕Jamie Romak 2009 · AA	23	39→49	54→55	39→45	41	205/277/382	178	289	22	2	36%	8%	85	+0.2	203/263/337	134	271	15	4	30%	6%	69	-0.9	207/263/389	182	276	22	5	33%	6%	78	-0.2
✕Mason Martin 2022 · AAA	23	37→33	54→55	40→45	34	196/258/379	183	302	23	3	42%	6%	77	-0.3	176/243/322	146	295	17	9	43%	7%	58	-1.7	152/226/289	137	256	16	10	45%	8%	43	-1.6
✕Justin Nelson 2007 · A	24	39→41	51→55	44→45	42	205/273/373	168	284	18	7	34%	8%	81	-0.1	220/291/395	175	314	20	5	34%	8%	93	+0.8	221/298/410	189	309	24	2	34%	9%	98	+0.7
✕Daniel Palka 2015 · A	23	40→43	49→55	47→50	42	207/267/358	151	280	17	6	32%	7%	75	-0.5	210/262/376	166	301	21	10	36%	6%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Taylor Trammell 2022 · MLB	24	40→46	48→55	47→55	45	206/283/347	141	282	17	12	32%	8%	79	-0.2	215/299/385	170	291	20	18	31%	10%	94	+0.9	203/297/373	170	273	21	23	32%	11%	88	+0.3

Career Stats + Projections

Career Comps

Career Path Comps