Ryan Reckley — OGILVIE

Ryan ReckleySS ACL Giants

Age 21 S/R 5'10" / 185 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION79 act + 11 ros · stats below = ROS only

showingROS

wRC+†46

AVG/OBP/SLG.100 / .182 / .100

PA11

HR0

K%27

BB%9

BABIP259

ISO69

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 20 / POW 20

Toolsscout grade

CONTACT20

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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	17	ROK	DSL Giants Orange	—	46	36	7	1	0	0	9	10	1	3	1	194	370	222	592	28	269	22	20	298	88	-1	+0	—	—	+1	0.1
2023	18	ROK	ACL Giants Black	—	173	134	22	1	0	4	33	65	3	5	0	164	341	261	602	97	265	38	19	290	83	-4	+1	—	—	+4	0.1
2024	19	A	San Jose Giants	—	78	70	17	4	0	1	6	30	1	0	1	243	312	343	655	100	400	38	8	295	86	-1	-0	—	—	+2	-0.0
2024	19	ROK	ACL Giants	—	120	92	26	3	2	4	24	33	4	4	0	283	450	489	939	207	400	28	20	421	171	+10	+1	—	—	+3	1.4
2025	20	A	San Jose Giants	—	170	146	25	2	2	0	22	48	0	4	1	171	280	212	492	41	250	28	13	236	46	-11	+0	—	—	+4	-0.7
2025	20	ROK	ACL Giants	—	48	36	11	1	1	1	12	11	0	3	0	306	479	472	951	167	417	23	25	429	176	+4	+1	—	—	+1	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Giants Orange	—	46	39	6	1	0	0	6	14	1	3	1	154	283	179	462	26	214	30	13	205	25	-4	+0	—	—	+1	-0.3
2023	18	ROK MLE	ACL Giants Black	—	173	147	15	1	0	3	20	93	3	5	0	102	224	170	394	68	195	54	12	181	9	-19	+1	—	—	+4	-1.4
2024	19	A MLE	San Jose Giants	—	78	72	12	2	0	1	4	42	1	0	1	167	221	236	457	69	362	54	5	206	26	-7	-0	—	—	+2	-0.6
2024	19	ROK MLE	ACL Giants	—	120	102	17	2	1	2	14	48	4	4	0	167	292	265	556	98	303	40	12	272	70	-4	+1	—	—	+3	-0.1
2025	20	A MLE	San Jose Giants	—	170	153	20	1	2	0	15	67	0	4	1	131	208	163	372	33	223	39	9	176	5	-19	+0	—	—	+4	-1.5
2025	20	ROK MLE	ACL Giants	—	48	41	10	1	1	1	7	15	0	3	0	244	354	390	744	146	314	31	15	290	82	-1	+1	—	—	+1	0.1
2022	17	ROK MLE	DSL Giants Orange	—	46	39	6	1	0	0	6	14	1	3	1	154	283	179	462	26	240	30	13	205	25	—	—	—	—	—	—
2022	17	ROK RAW	DSL Giants Orange	—	46	36	7	1	0	0	9	10	1	3	1	194	370	222	592	28	269	22	20	298	25	—	—	—	—	—	—
2023	18	ROK MLE	ACL Giants Black	—	173	147	15	1	0	3	20	93	3	5	0	102	224	170	394	68	222	54	12	181	9	—	—	—	—	—	—
2023	18	ROK RAW	ACL Giants Black	—	173	134	22	1	0	4	33	65	3	5	0	164	341	261	602	97	265	38	19	290	9	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	198	174	30	5	1	3	18	90	5	4	1	172	269	264	533	92	329	45	9	246	53	—	—	—	—	—	—
2024	19	ROK RAW	2 teams	—	198	162	43	7	2	5	30	63	5	4	1	265	396	426	822	160	400	32	15	371	53	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	218	194	29	2	2	1	22	82	0	7	1	149	236	196	432	46	248	38	10	201	22	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	218	182	36	3	3	1	34	59	0	7	1	198	324	264	588	66	282	27	16	279	22	—	—	—	—	—	—
2022	17	ROK MLE	DSL Giants Orange	—	46	39	6	1	0	0	6	14	1	3	1	154	283	179	462	26	214	30	13	205	25	—	—	—	—	—	—
2023	18	ROK MLE	ACL Giants Black	—	173	148	15	1	0	3	20	93	3	5	0	101	224	169	392	68	195	54	12	181	9	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	198	173	30	5	1	3	18	90	5	4	1	173	269	266	535	92	326	45	9	246	53	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	218	194	29	2	2	1	22	82	0	7	1	149	236	196	432	46	243	38	10	201	22	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	ACL Giants Black	—	173	148	15	1	0	3	20	93	3	5	0	101	224	169	392	68	195	54	12	181	9	—	—	—	—	—	—
2024	19	ROK MLE	2 teams	—	198	173	30	5	1	3	18	90	5	4	1	173	269	266	535	92	326	45	9	246	53	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	218	194	29	2	2	1	22	82	0	7	1	149	236	196	432	46	243	38	10	201	22	—	—	—	—	—	—
YTD	21	ROK MLE	SF	—	79	69	10	0	0	0	6	36	2	2	1	145	234	145	379		294	46	8	183	10	-8	+0	+0	+1	+2	-0.6
▸ 2026 season
YTD	21	ROK RAW	SF	—	79	65	14	0	0	0	10	25	2	2	1	215	338	215	553		341	32	13	267	10	—	—	—	—	—	—
ROS	21	ROK MLE	SF	0%	11	10	1	0	0	0	1	3	0	0	0	100	182	100	282		264	27	9	236	46	-1	+0	+0	+0	+0	-0.0
TOT	21	ROK MLE	SF	—	90	79	11	0	0	0	7	39	2	2	1	139	227	139	367		268	43	8	189	14	-9	+0	+0	+1	+2	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	SF	34%	278	249	49	9	1	3	24	80	3	4	1	197	275	277	552	80	270	29	9	254	58	-14	+0	+0	+3	+6	-0.5
2028	23	MLB MLE	SF	48%	372	333	68	12	2	6	32	104	4	6	2	204	282	306	588	102	272	28	9	265	65	-15	+0	+0	+4	+8	-0.3
2029	24	MLB MLE	SF	53%	435	389	80	14	2	7	38	119	5	7	2	206	285	306	591	100	274	27	9	271	70	-16	+1	+0	+5	+9	-0.1
2030	25	MLB MLE	SF	58%	471	422	88	16	2	9	41	128	5	8	2	209	286	320	606	111	275	27	9	275	72	-16	+1	+0	+5	+10	0.1
2031	26	MLB MLE	SF	61%	491	440	91	16	2	9	43	134	5	8	2	207	285	314	598	107	275	27	9	276	73	-16	+1	+0	+5	+11	0.1
2032	27	MLB MLE	SF	63%	498	446	92	16	2	9	44	136	5	8	2	206	285	312	597	105	275	27	9	276	73	-16	+1	+0	+5	+11	0.1
2033	28	MLB MLE	SF	64%	498	445	92	16	2	9	45	137	5	8	2	207	287	312	599	106	275	28	9	275	73	-16	+1	-1	+5	+11	-0.0
2034	29	MLB MLE	SF	65%	492	439	91	16	2	9	45	136	5	7	2	207	288	314	603	107	274	28	9	274	71	-17	+1	-1	+5	+11	-0.2
2027	22	MLB CTX	SF	34%	96	87	16	3	0	1	8	27	1	2	0	184	260	253	513	69	265	28	8	242	58	-5	+0	+0	+1	+2	-0.1
2028	23	MLB CTX	SF	48%	180	160	32	6	1	2	16	50	2	3	1	200	281	287	568	87	267	28	9	252	65	-7	+0	+0	+2	+4	-0.1
2029	24	MLB CTX	SF	53%	229	205	41	7	1	4	20	63	2	4	1	200	278	302	580	102	269	28	9	258	70	-8	+0	+0	+2	+5	-0.0
2030	25	MLB CTX	SF	58%	274	245	50	9	1	5	24	75	3	4	1	204	283	310	593	106	270	27	9	261	72	-9	+0	+0	+3	+6	0.0
2031	26	MLB CTX	SF	61%	301	269	55	10	1	5	26	82	3	5	1	204	282	305	587	100	270	27	9	262	73	-10	+1	+0	+3	+7	0.1
2032	27	MLB CTX	SF	63%	312	278	56	10	1	5	28	85	3	5	1	201	282	299	580	97	270	27	9	263	73	-10	+1	+0	+3	+7	0.1
2033	28	MLB CTX	SF	64%	317	282	56	10	1	5	29	87	3	5	1	199	280	294	575	96	269	27	9	262	73	-10	+1	-0	+3	+7	0.0
2034	29	MLB CTX	SF	65%	320	285	57	10	1	5	29	88	3	5	1	200	281	295	575	95	269	28	9	260	71	-11	+1	-1	+3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2029	1811	363	65	7	32	180	557	20	33	7	200	280	297	577	97	268	27	9	259	64	-70	+4	-1	+22	+44	-0.2
/ 162G	—	A+C		—	650	580	116	21	2	10	58	178	6	11	2	200	280	295	574	95	268	27	9	259	64	-23	+1	-0	+7	+14	-0.1
Career	—	MLE		—	4181	3727	732	124	18	68	379	1256	46	75	18	196	279	294	573	98	274	30	9	262	64	-126	+5	-2	+38	+77	-0.8
/ 162G	—	MLE		—	650	579	114	19	3	11	59	195	7	12	3	197	279	297	576	100	274	30	9	262	64	-23	+1	-0	+7	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.4	2,233	37	36	206	282	309	+24	+15	0.8	1.0
/162	664	11	11	+7.1	+4.5	0.2	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
#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 Reckley (OGILVIE)	21	20	20	45	50	181/260/239	58	264	1	4	30%	8%	46	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Terry Serrano 2008 · A	21	41	35→30	46→55	49	191/267/245	53	257	2	13	25%	9%	49	-2.4	202/275/269	67	295	3	16	29%	9%	57	-1.8	195/275/262	67	298	2	22	32%	10%	52	-0.8
✕Julian Morillo 2012 · A	20	41	34→30	45→50	47	189/257/241	52	248	1	8	23%	7%	44	-2.8	212/258/289	77	283	4	7	25%	5%	55	-2.0	242/264/328	86	301	4	4	20%	1%	61	-0.3
✕Varonex Cuevas 2012 · A	20	37	34→30	45→50	46	176/250/229	54	252	2	9	29%	9%	38	-3.2	202/263/262	60	274	2	12	25%	7%	51	-2.3	200/265/251	51	265	1	15	23%	8%	46	-0.9
✕Aaron Shipman 2013 · A	21	40→37	35→30	44→50	48	187/266/245	59	273	2	9	30%	9%	49	-2.4	224/306/292	68	309	2	16	25%	10%	74	-0.6	243/332/303	60	328	1	21	23%	11%	81	-0.0
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	44	183/259/238	55	287	2	15	34%	9%	44	-2.8	196/261/262	66	318	2	13	36%	7%	50	-2.3	183/249/232	49	297	0	21	35%	6%	36	-0.8
✕Luis Sanchez 2008 · A	21	37	36→30	45→40	44	178/253/238	60	259	4	7	31%	8%	42	-2.9	198/256/251	53	276	2	4	27%	7%	45	-2.7	190/246/233	43	263	1	2	26%	7%	36	-1.6
✕Eladio Berroa 2012 · A	21	37	35→30	46→50	42	175/231/236	61	228	2	10	24%	6%	32	-3.6	185/249/260	75	257	4	10	28%	6%	45	-2.7	143/221/213	70	195	3	15	26%	7%	25	-1.0
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	52	197/290/240	43	280	1	14	27%	10%	57	-1.8	202/267/260	58	263	3	9	22%	8%	51	-2.2	183/242/211	28	222	0	9	16%	7%	28	-1.0
✕Deivi Estrada 2022 · A	21	45	36→30	46→50	45	208/280/278	70	304	4	8	30%	8%	61	-1.5	185/243/254	69	327	4	8	41%	7%	41	-3.0	144/186/202	58	310	3	4	52%	4%	5	-1.1
✕Milkar Perez 2023 · A	21	41	34→40	44→40	53	184/288/234	50	286	2	4	32%	12%	55	-1.9	211/292/290	79	315	4	3	31%	9%	69	-0.9	209/288/290	81	306	5	2	30%	9%	65	-0.7
✕Alfredo Angarita 2018 · A	21	41	35→30	51→55	49	194/273/255	61	268	2	16	27%	9%	53	-2.1	200/264/256	56	287	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Arquímedes Gamboa 2019 · A	21	41→45	37→40	48→50	44	198/260/271	72	274	5	7	28%	7%	51	-2.2	184/259/260	76	272	5	14	31%	9%	49	-2.4	199/285/288	89	292	7	15	31%	10%	63	-0.8
✕Franklin Tineo 2016 · A	21	36	38→45	41→50	47	177/258/254	77	247	5	7	29%	9%	48	-2.5	190/264/281	91	260	7	10	28%	8%	56	-1.9	184/261/280	96	239	8	13	25%	8%	53	-0.7
✕Kelvin Alarcon 2019 · A	20	43	35→30	48→55	51	200/292/258	58	284	3	8	28%	11%	62	-1.4	210/273/275	65	326	3	8	33%	7%	57	-1.8	203/265/239	35	320	0	8	34%	8%	43	-0.6
✕Jorky Infante 2012 · A	21	42	35→30	48→50	48	200/261/253	54	248	3	12	20%	7%	48	-2.5	208/265/266	58	260	2	11	19%	6%	52	-2.2	207/263/247	39	252	0	12	16%	6%	47	-1.1
✕Julio Garcia 2018 · A	21	42→36	36→40	48→40	38	200/243/273	73	289	2	7	31%	5%	45	-2.7	178/211/242	64	295	4	3	39%	3%	25	-4.1	155/180/206	51	263	4	2	41%	2%	3	-3.1
✕Jeral Toledo 2023 · A	20	39	36→30	45	51	184/280/254	70	255	3	10	26%	10%	57	-1.8	198/275/277	79	283	4	11	28%	9%	59	-1.6	190/268/264	75	271	4	10	29%	9%	52	-0.7
✕Franklin Navarro 2016 · A	21	39	36→40	45→40	38	188/224/252	65	248	4	5	26%	4%	32	-3.6	205/240/287	82	288	6	4	30%	4%	47	-2.5	194/228/253	59	309	4	0	37%	4%	32	-0.8

Career Stats + Projections

Career Comps

Career Path Comps