Ryan Clifford — OGILVIE

Ryan Clifford1B Syracuse Mets

Age 23 L/L 6'3" / 200 lbs AAA H +5%HR +3% Svc 0.0 · Ctrl thru 2033 peak 1.3 · 2029

wRC+†88

AVG/OBP/SLG.207 / .297 / .393

PA320

HR13

SB5

K%34

BB%10

MLB%10%

Scouting · now → future

HIT

32↗41

PWR

49↗60

SPD

37↗42

FLD

41↗47

EYE

58↘57

trajectory · 10 yrs

1.4peak

2029

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.1	$9M	+$9M
2029	Arb-1	$0.8M	+1.3	$11M	+$11M
2030	Arb-2	$0.9M	+1.3	$12M	+$11M
2031	Arb-3	$2M	+1.2	$11M	+$9M
2032	Ext / FA-deal	$3M	+0.9	$4M	+$1M
2033	Ext / FA-deal	$3M	+0.7	$3M	+$0.5M
Totals		$11M		$51M	+$41M

Career Projections (MLE)

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	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
2022	19	A	2 teams	101	85	14	3	0	1	14	45	2	2	0	.165	.297	.235	.532	.071	.333	45	14	.260	57	-5	+0	+0	-2	+3	-0.4
2023	20	A+	2 teams	511	447	92	14	0	19	40	183	16	5	2	.206	.294	.365	.659	.159	.289	36	8	.289	80	-12	+0	+0	-9	+14	-0.6
2024	21	AA	2 teams	541	469	92	23	0	20	62	200	7	4	2	.196	.299	.373	.672	.177	.286	37	11	.296	85	-9	+0	+0	-10	+15	-0.4
2025	22	AA	2 teams	579	507	104	20	1	25	59	185	7	7	4	.205	.297	.396	.693	.191	.261	32	10	.301	89	-7	-0	+0	-10	+16	-0.1
▸ 2026 Season (actual · ROS · total)
2026	23	AAA	Syracuse Mets	85	78	16	4	0	3	7	38	0	2	2	.205	.271	.372	.642	.167	.351	45	8	.283	75	-2	-0	+0	-2	+2	-0.2
ROS	23	MLB	NYM	235	208	43	9	0	10	23	84	2	3	2	.207	.292	.394	.686	.188	.290	36	10	.306	92	-2	-0	-0	-4	+7	-0.0
TOT	23	MLB	NYM	320	286	59	13	0	13	30	122	2	5	4	.206	.286	.388	.674	.182	.303	38	9	.300	88	-5	-1	-0	-6	+9	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 25%	NYM	583	512	114	23	1	25	60	169	6	7	5	.223	.311	.418	.729	.195	.276	29	10	.322	105	+3	-1	-1	-10	+17	0.8
2028	25	MLB 43%	NYM	616	541	122	25	1	26	64	175	6	8	5	.226	.314	.420	.734	.194	.278	28	10	.327	108	+6	-0	-1	-11	+17	1.1
2029	26	MLB 58%	NYM	634	555	126	25	1	27	67	178	7	8	5	.227	.318	.422	.740	.195	.280	28	11	.329	110	+7	-0	-1	-11	+18	1.3
2030	27	MLB 76%	NYM	641	561	128	26	1	27	68	180	7	8	5	.228	.319	.422	.742	.194	.280	28	11	.329	110	+7	-0	-1	-11	+18	1.3
2031	28	MLB 83%	NYM	641	561	126	25	1	27	68	181	7	7	4	.225	.316	.417	.733	.193	.280	28	11	.328	109	+7	-0	-2	-11	+18	1.2
2032	29	MLB 90%	NYM	634	555	125	25	1	27	68	181	6	6	4	.225	.316	.420	.736	.195	.279	29	11	.326	107	+5	-0	-2	-11	+18	0.9
2033	30	MLB	NYM	625	547	121	24	1	26	67	180	6	5	4	.221	.313	.411	.724	.190	.277	29	11	.323	105	+4	-1	-3	-11	+18	0.7
2034	31	MLB	NYM	612	536	117	23	1	25	65	179	6	2	3	.218	.310	.405	.715	.187	.276	29	11	.319	102	+2	-1	-4	-11	+17	0.3
2035	32	MLB	NYM	595	521	112	22	1	23	63	177	6	0	1	.215	.307	.393	.700	.179	.274	30	11	.314	98	-1	-0	-4	-11	+17	0.0
2036	33	MLB	NYM	566	496	106	21	1	22	60	172	5	0	0	.214	.305	.393	.698	.179	.272	30	11	.308	94	-4	+0	-5	-10	+16	-0.3
2037	34	MLB	NYM	517	452	94	18	1	19	55	162	5	0	0	.208	.301	.378	.679	.170	.270	31	11	.301	89	-7	+0	-6	-9	+15	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			8631	7553	1636	326	12	349	903	2631	101	72	46	.217	.309	.402	.710	.185	.278	30	10	.315	99	-6	-4	-30	-154	+245	5.1
/ 162G	—			650	569	123	25	1	26	68	198	8	5	3	.216	.309	.401	.710	.185	.278	30	10	.315	99	-0	-0	-2	-12	+18	0.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	141	+2	+0	—	—	+1	0.4
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	155	+3	+0	—	—	+1	0.5
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	134	+15	+0	—	—	+11	2.7
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	187	+12	+0	—	—	+3	1.6
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	135	+16	-0	—	—	+11	2.8
2024	21	A+	Brooklyn Cyclones	136	102	22	6	0	1	32	43	2	1	0	.216	.412	.304	.716	.088	.362	32	24	.347	124	+4	+0	—	—	+4	0.8
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	121	+3	-0	—	—	+4	0.7
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	143	+21	+0	—	—	+12	3.4

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	32→41	49→60	37→42	57	.207/.297/.393	.186	.280	13	3	34%	10%	95	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bobby Bradley 2019 · AAA	23	37→41	56→65	46→40	40	.207/.267/.397	.190	.277	25	3	35%	7%	82	+0.5	.214/.273/.426	.212	.294	29	3	37%	7%	93	+1.3	.187/.255/.394	.207	.259	30	0	40%	7%	75	+0.0
✕MJ Melendez 2022 · AAA	23	36→46	60	41→50	43	.209/.278/.423	.214	.275	30	6	36%	8%	94	+1.3	.220/.301/.405	.185	.270	22	6	26%	10%	98	+1.6	.210/.294/.378	.168	.260	19	5	26%	10%	85	+0.7
✕Christin Stewart 2017 · AA	23	41→45	52→55	46→45	48	.212/.303/.381	.169	.284	20	5	32%	10%	94	+1.3	.217/.292/.385	.168	.281	20	3	29%	8%	89	+1.0	.222/.297/.399	.177	.273	22	1	27%	8%	93	+1.0
●Jack Suwinski 2023 · MLB	25	40→41	57→60	45→50	45	.214/.295/.410	.196	.290	26	9	35%	10%	98	+1.6	.210/.300/.403	.193	.281	26	13	33%	11%	98	+1.6	.198/.296/.384	.186	.261	25	15	33%	11%	87	+0.7
✕George Valera 2023 · AAA	22	42→40	53→55	44→45	48	.217/.302/.388	.171	.294	21	6	32%	10%	95	+1.4	.213/.290/.367	.154	.295	19	6	32%	9%	84	+0.6	.206/.283/.354	.148	.282	18	4	32%	9%	75	+0.0
✕Enmanuel Valdez 2023 · AAA	24	42→46	56→60	47→45	43	.226/.282/.413	.187	.275	24	7	28%	7%	93	+1.3	.223/.288/.397	.174	.270	22	9	26%	8%	91	+1.1	.210/.282/.374	.165	.246	21	8	24%	9%	79	+0.1
✕Nick Pratto 2023 · MLB	24	37→43	59→55	50	46	.204/.297/.414	.211	.281	27	9	36%	10%	99	+1.7	.197/.272/.341	.144	.297	17	9	37%	8%	70	-0.3	.183/.252/.298	.116	.279	13	9	37%	8%	48	-1.4
●Triston Casas 2023 · MLB	23	45→50	54→60	48→40	53	.235/.318/.415	.180	.281	22	6	25%	10%	108	+2.3	.245/.337/.451	.206	.302	27	3	27%	12%	125	+3.5	.244/.344/.461	.217	.298	29	0	27%	13%	121	+1.6
✕Kala Ka'aihue 2008 · AA	23	41→46	55	48→30	43	.215/.289/.397	.183	.299	23	3	35%	8%	92	+1.2	.201/.292/.350	.149	.294	17	3	35%	10%	81	+0.4	.180/.284/.315	.135	.265	15	1	35%	11%	67	-0.4
✕Elehuris Montero 2022 · AAA	23	40→50	54→60	45→30	41	.215/.273/.385	.170	.274	23	3	31%	7%	82	+0.5	.230/.290/.405	.175	.298	22	3	30%	6%	94	+1.3	.225/.286/.390	.165	.295	21	2	30%	6%	87	+0.7
✕Jaff Decker 2012 · AA	22	42→50	52→55	46→55	49	.217/.305/.388	.170	.285	20	9	30%	10%	96	+1.5	.210/.290/.346	.136	.279	14	9	28%	10%	79	+0.3	.223/.297/.332	.109	.287	9	13	24%	9%	75	+0.0
●Matt Clark 2011 · AA	24	44→45	55→60	48→30	40	.230/.287/.412	.182	.304	24	2	32%	7%	95	+1.4	.227/.284/.386	.159	.301	21	2	30%	7%	86	+0.8	.226/.284/.410	.184	.271	25	0	26%	7%	93	+0.9
●Spencer Torkelson 2023 · MLB	23	41→44	52→60	42→40	50	.214/.298/.382	.168	.263	20	4	27%	10%	92	+1.2	.223/.304/.410	.187	.275	23	3	27%	10%	102	+1.8	.224/.310/.421	.197	.273	25	2	27%	10%	103	+2.1
★Matt Olson 2018 · MLB	24	37→47	58→70	48→40	48	.209/.290/.408	.199	.261	27	4	31%	10%	95	+1.4	.245/.328/.483	.238	.286	34	3	27%	10%	131	+3.9	.263/.361/.508	.245	.306	32	1	24%	12%	144	+5.6
✕Edwin Rios 2017 · AA	23	43→47	56→60	46→30	34	.228/.264/.414	.186	.307	25	4	34%	4%	85	+0.7	.230/.271/.395	.165	.325	21	3	35%	4%	83	+0.6	.217/.288/.399	.182	.313	23	1	36%	8%	89	+0.5
●Alec Burleson 2022 · AAA	23	44→54	51→55	46→45	42	.233/.277/.383	.150	.285	21	5	27%	6%	82	+0.5	.251/.295/.401	.150	.283	19	6	18%	6%	94	+1.3	.275/.329/.435	.160	.291	21	7	14%	7%	114	+1.9
✕Jesús Sánchez 2022 · MLB	24	47→53	56→60	45→50	43	.245/.302/.435	.190	.306	25	5	28%	7%	106	+2.2	.246/.311/.434	.188	.309	23	7	27%	8%	110	+2.4	.243/.311/.415	.172	.306	20	10	26%	8%	100	+1.4
●Chris Carter 2010 · AAA	23	45→53	58→65	46→45	46	.236/.307/.439	.202	.298	26	6	29%	8%	110	+2.4	.224/.300/.419	.195	.289	25	5	30%	9%	102	+1.8	.221/.312/.438	.217	.288	29	4	33%	11%	106	+2.1
✕Jarred Kelenic 2022 · MLB	23	41→51	56→60	49→50	46	.223/.287/.417	.194	.267	25	13	27%	8%	96	+1.5	.226/.291/.404	.178	.294	20	13	29%	8%	94	+1.3	.230/.294/.404	.174	.305	19	14	30%	8%	91	+0.9
✕Sergio Pedroza 2007 · A	23	41→47	57→60	39→45	46	.220/.308/.421	.201	.287	25	4	32%	9%	106	+2.2	.228/.302/.397	.169	.303	19	6	30%	8%	97	+1.5	.227/.298/.377	.151	.294	17	7	28%	7%	88	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)