Charlie Szykowny

Charlie Szykowny1B Richmond Flying Squirrels

Age 26 L/R 6'4" / 236 lbs AA HR -15%H -3% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION529 act + 9 ros · stats below = ROS only

showingROS

wRC+†74

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%22

BB%4

BABIP268

ISO137

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 50 / POW 50

Toolsscout grade

CONTACT50

scouting grade only

POWER50

scouting grade only

EYE25

scouting grade only

SPEED40

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	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	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)
2023	23	A	San Jose Giants	—	53	46	11	3	0	0	5	8	2	0	1	239	340	304	644	65	289	15	9	303	91	-1	-0	—	—	+1	0.0
2023	23	ROK	ACL Giants Black	—	64	52	13	3	1	2	9	14	3	1	2	250	391	462	852	212	306	22	14	382	145	+3	-1	—	—	+1	0.4
2024	24	A+	Eugene Emeralds	—	170	153	36	10	0	4	10	38	5	4	1	235	304	379	683	144	283	22	6	304	92	-2	+0	—	—	+4	0.3
2024	24	A	San Jose Giants	—	242	206	70	16	6	2	20	45	8	0	0	340	419	505	924	165	407	19	8	396	154	+16	+0	—	—	+5	2.1
2024	24	INTL	Scottsdale Scorpions	—	64	62	17	1	1	2	2	12	0	2	1	274	297	419	716	145	312	19	3	316	100	-0	+0	—	—	+1	0.1
2025	25	A+	Eugene Emeralds	—	549	490	135	28	4	21	29	102	22	5	5	276	344	478	821	202	304	19	5	358	129	+19	-1	—	—	+12	3.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	23	A MLE	San Jose Giants	—	53	48	9	2	0	0	3	11	2	0	1	188	264	229	493	42	247	21	6	233	44	-4	-0	—	—	+1	-0.3
2023	23	ROK MLE	ACL Giants Black	—	64	55	9	2	1	1	6	20	3	1	2	164	281	291	572	127	227	31	9	258	61	-3	-1	—	—	+1	-0.2
2024	24	A+ MLE	Eugene Emeralds	—	170	157	27	7	0	3	6	55	5	4	1	172	226	274	500	102	228	32	4	217	33	-14	+0	—	—	+4	-1.0
2024	24	A MLE	San Jose Giants	—	242	211	61	13	4	2	15	63	8	0	0	289	359	417	776	128	362	26	6	335	113	+4	+0	—	—	+5	0.9
2025	25	A+ MLE	Eugene Emeralds	—	549	500	105	19	3	17	19	133	22	5	5	210	270	362	632	152	239	24	3	272	70	-19	-1	—	—	+12	-0.9
2023	23	ROK MLE	2 teams	—	117	103	18	4	1	1	9	32	5	1	3	175	274	262	536	87	243	27	8	247	53	—	—	—	—	—	—
2023	23	ROK RAW	2 teams	—	117	98	24	6	1	2	14	22	5	1	3	245	368	388	755	143	297	19	12	346	53	—	—	—	—	—	—
2024	24	A MLE	3 teams	—	476	429	102	23	5	6	24	136	13	6	2	238	298	357	655	119	323	29	5	286	80	—	—	—	—	—	—
2024	24	A RAW	3 teams	—	476	421	123	27	7	8	32	95	13	6	2	292	361	447	807	154	351	20	7	353	80	—	—	—	—	—	—
2025	25	A+ MLE	Eugene Emeralds	—	549	500	105	19	3	17	19	133	22	5	5	210	270	362	632	152	246	24	3	272	70	—	—	—	—	—	—
2025	25	A+ RAW	Eugene Emeralds	—	549	490	135	28	4	21	29	102	22	5	5	276	344	478	821	202	304	19	5	358	70	—	—	—	—	—	—
2023	23	ROK MLE	2 teams	—	117	102	18	4	1	1	9	32	5	1	3	176	274	265	538	88	236	27	8	247	53	—	—	—	—	—	—
2024	24	A MLE	3 teams	—	476	436	102	23	5	6	24	136	13	6	2	234	298	351	649	117	307	29	5	286	80	—	—	—	—	—	—
2025	25	A+ MLE	Eugene Emeralds	—	549	503	105	19	3	17	19	133	22	5	5	209	270	360	630	151	239	24	3	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	23	ROK MLE	2 teams	—	117	102	18	4	1	1	9	32	5	1	3	176	274	265	538	88	236	27	8	247	53	—	—	—	—	—	—
2024	24	A MLE	3 teams	—	476	436	102	23	5	6	24	136	13	6	2	234	298	351	649	117	307	29	5	286	80	—	—	—	—	—	—
2025	25	A+ MLE	Eugene Emeralds	—	549	503	105	19	3	17	19	133	22	5	5	209	270	360	630	151	239	24	3	272	70	—	—	—	—	—	—
YTD	26	AA MLE	SF	—	529	492	109	21	4	12	24	127	7	11	3	222	268	354	621	132	271	24	5	267	67	-21	+1	+0	-9	+11	-1.8
▸ 2026 season
YTD	26	AA RAW	SF	—	482	432	109	21	4	14	36	99	7	11	3	252	319	417	736	164	293	21	7	324	67	—	—	—	—	—	—
YTD	26	AAA RAW	SF	—	47	46	15	4	0	1	1	5	0	0	0	326	340	478	819	152	350	11	2	361	67	—	—	—	—	—	—
ROS	26	AA MLE	SF	2%	9	9	1	0	0	0	0	2	0	0	0	111	111	111	222		273	22	0	278	74	-0	+0	+0	-0	+0	-0.0
TOT	26	AA MLE	SF	—	538	501	110	21	4	12	24	129	7	11	3	220	265	349	614	130	268	24	4	267	67	-21	+1	+0	-10	+12	-1.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	27	MLB MLE	SF	27%	336	311	69	13	2	8	17	82	5	5	2	222	273	354	627	132	274	24	5	281	76	-9	+0	+0	-6	+7	-0.8
2028	28	MLB MLE	SF	40%	364	336	76	15	2	9	20	89	5	5	2	226	280	363	643	137	275	24	5	283	78	-10	+0	-1	-7	+8	-0.9
2029	29	MLB MLE	SF	45%	373	344	77	15	2	9	21	91	5	5	2	224	278	358	636	134	275	24	6	283	78	-10	+0	-1	-7	+8	-1.0
2030	30	MLB MLE	SF	48%	378	348	77	15	2	9	22	93	5	4	1	221	277	353	631	132	274	25	6	281	77	-11	+0	-2	-7	+8	-1.1
2027	27	MLB CTX	SF	27%	90	84	18	3	1	2	5	22	1	1	0	214	267	345	612	131	269	24	6	263	76	-3	+0	+0	-2	+2	-0.2
2028	28	MLB CTX	SF	40%	145	134	29	6	1	3	8	35	2	2	1	216	271	343	614	127	270	24	6	265	78	-4	+0	-0	-3	+3	-0.4
2029	29	MLB CTX	SF	45%	167	154	33	6	1	4	9	41	2	2	1	214	267	344	611	130	269	25	5	266	78	-4	+0	-1	-3	+4	-0.4
2030	30	MLB CTX	SF	48%	180	165	36	7	1	4	10	44	3	2	1	218	275	345	621	127	269	24	6	264	77	-5	+0	-1	-3	+4	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	582	537	116	22	4	13	32	142	8	7	3	216	270	345	615	128	268	24	5	265	75	-16	+0	-2	-10	+13	-1.6
/ 162G	—	A+C		—	650	600	130	25	4	15	36	159	9	8	3	217	271	347	618	130	268	24	6	265	75	-18	+0	-2	-12	+14	-1.7
Career	—	MLE		—	2602	2380	525	104	17	59	132	658	60	31	17	221	279	353	632	132	276	25	5	279	75	-40	+1	-4	-26	+32	-3.8
/ 162G	—	MLE		—	650	595	131	26	4	15	33	164	15	8	4	220	278	353	631	133	275	25	5	279	75	-18	+0	-2	-12	+14	-1.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#2Adam 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
#3Adam 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
#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
#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 2 projected seasons	0.9	587	14	7	224	275	358	+2	+1	0.3	0.3
/162	664	16	8	+2.3	+1.1	0.3	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
Charlie Szykowny (OGILVIE)	26	50	50	40	25	220/268/353	133	273	6	4	24%	4%	74	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrew Pinckney 2008 · AA	26	46→53	46→50	43→40	41	229/272/367	138	284	13	5	24%	5%	78	-0.3	230/272/349	119	301	11	5	26%	5%	74	-0.6	236/273/351	115	309	9	2	26%	4%	72	-0.6
✕Emerson Frostad 2009 · AA	26	45→48	46→50	43→40	43	224/276/356	132	291	12	6	27%	6%	77	-0.3	218/275/316	98	273	7	4	22%	7%	68	-1.0	213/272/299	86	261	6	2	20%	7%	61	-0.8
✕Joe Rizzo 2023 · AA	25	46→48	49→50	42→40	43	234/283/379	145	287	18	4	25%	6%	86	+0.3	221/272/352	131	280	14	5	26%	6%	75	-0.5	197/247/312	115	250	12	1	26%	6%	53	-1.2
✕Cory Patton 2008 · A	26	43→51	46→50	43→40	40	219/263/354	135	288	13	5	29%	5%	72	-0.7	237/289/372	135	307	13	6	26%	7%	86	+0.3	251/304/398	147	315	14	3	24%	7%	95	+0.7
✕Ryan Flaherty 2012 · AAA	26	46→47	47→50	42→45	44	233/282/372	140	284	14	5	24%	6%	83	+0.1	225/278/367	142	275	17	5	24%	6%	81	-0.1	216/300/331	115	277	12	2	25%	10%	77	-0.1
✕Anthony Hatch 2009 · AA	25	46→50	46→50	40	45	228/283/362	134	275	13	4	22%	6%	81	-0.1	231/281/353	122	276	11	5	20%	6%	78	-0.3	233/281/357	124	273	10	3	18%	6%	76	-0.3
✕Trey Harris 2022 · AA	26	47→53	44→45	44→45	41	233/284/346	113	285	12	6	22%	4%	78	-0.3	214/267/296	82	283	6	8	26%	5%	60	-1.6	201/253/266	65	273	4	7	27%	4%	44	-1.5
✕Jose Rojas 2019 · AAA	26	47→48	47→60	45→50	41	235/276/375	140	290	15	8	24%	5%	81	-0.1	224/275/394	170	281	19	7	27%	7%	86	+0.3	202/268/404	202	235	26	10	27%	8%	84	+0.1
✕Logan Johnson 2010 · A	26	45	48→50	46→30	43	227/296/369	142	277	17	3	24%	6%	89	+0.5	230/304/363	133	304	14	5	28%	7%	90	+0.6	226/316/358	132	311	14	0	29%	7%	92	+0.2
✕Luis Liberato 2021 · AA	25	44→49	47→50	45→50	42	223/270/352	129	284	15	8	27%	6%	74	-0.5	221/281/360	139	306	14	8	31%	8%	80	-0.1	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Luke Tendler 2018 · AA	26	42→45	46→50	39→40	42	215/269/346	131	276	14	3	27%	6%	72	-0.7	208/258/323	115	276	13	4	28%	6%	63	-1.4	199/248/305	106	261	13	3	29%	5%	53	-1.5
✕Josh Morgan 2022 · AA	26	45→55	48→45	40	45	226/297/362	136	280	16	6	25%	7%	87	+0.4	216/281/347	131	280	15	6	27%	7%	78	-0.3	200/257/327	127	262	15	3	29%	6%	61	-0.8
✕Irving Lopez 2021 · AAA	26	46→50	43→45	44→40	43	225/286/341	116	278	10	4	22%	6%	78	-0.3	213/275/310	97	274	8	6	24%	6%	67	-1.1	210/280/304	94	269	8	4	23%	7%	65	-0.6
✕Bobby Coyle Jr. 2014 · AA	25	45→44	49→50	43→45	40	233/270/377	144	280	18	4	24%	5%	80	-0.2	229/266/365	136	281	16	6	24%	5%	76	-0.4	244/261/382	138	280	15	0	19%	2%	77	-0.1
✕Brett Nicholas 2014 · AA	26	50→52	45→50	46→40	39	246/289/367	121	314	12	4	25%	4%	84	+0.2	234/275/345	111	303	12	4	26%	4%	74	-0.5	236/282/370	134	295	15	2	25%	5%	80	-0.1
✕Edgar Varela 2006 · A	25	51→53	44→50	42→30	38	249/282/371	121	310	11	4	23%	4%	82	+0.0	218/264/322	104	294	8	6	27%	5%	65	-1.2	135/185/201	67	193	4	0	32%	5%	5	-1.0
✕Vince Faison 2007 · AA	26	46→44	48→50	46→50	45	231/285/382	151	285	13	6	24%	7%	86	+0.3	212/258/336	124	277	9	10	26%	5%	65	-1.2	192/231/310	118	255	6	13	26%	4%	45	-1.7
✕Rubi Silva 2015 · AA	26	49→56	44→50	47→50	36	241/265/363	122	311	10	10	26%	3%	74	-0.6	225/247/351	126	308	12	9	30%	3%	64	-1.3	222/232/361	139	305	13	6	32%	1%	58	-0.6
✕Gerson Montilla 2016 · AA	26	43→47	47→50	42→45	42	221/266/347	127	264	15	7	23%	5%	72	-0.7	221/269/332	111	267	13	6	22%	6%	69	-0.9	217/264/313	96	258	11	3	20%	5%	63	-1.3
✕Addison Maruszak 2013 · AA	26	46→47	45	41→45	45	232/282/358	126	277	13	5	22%	6%	80	-0.2	221/273/326	105	279	9	5	23%	6%	69	-0.9	217/273/304	87	270	5	0	20%	6%	62	-0.8

Career Stats + Projections

Career Comps

Career Path Comps