Christian Gonzalez

Christian GonzalezOF Kannapolis Cannon Ballers

Age 19 L/L 5'11" / 185 lbs A HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION202 act + 20 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.167 / .250 / .222

PA20

HR0

K%30

BB%10

BABIP275

ISO56

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 53 / POW 35

Toolsscout grade

CONTACT53

scouting grade only

POWER35

scouting grade only

EYE61

scouting grade only

SPEED53

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
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
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	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)
2024	17	ROK	DSL White Sox	—	191	155	41	4	1	0	31	17	3	11	11	265	397	303	700	39	295	9	16	331	110	+2	-2	—	—	+4	0.4
2025	18	ROK	ACL White Sox	—	132	108	44	8	3	1	19	19	4	4	8	407	511	565	1.076	157	489	14	14	472	206	+17	-2	—	—	+3	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL White Sox	—	191	167	35	3	1	0	19	25	3	11	11	210	302	240	541	30	240	13	10	248	54	-10	-2	—	—	+4	-0.9
2025	18	ROK MLE	ACL White Sox	—	132	115	36	6	2	1	12	27	4	4	8	313	397	426	823	113	397	20	9	352	124	+4	-2	—	—	+3	0.4
2024	17	ROK MLE	DSL White Sox	—	191	167	35	3	1	0	19	25	3	11	11	210	302	240	541	30	245	13	10	248	54	—	—	—	—	—	—
2024	17	ROK RAW	DSL White Sox	—	191	155	41	4	1	0	31	17	3	11	11	265	397	303	700	39	295	9	16	331	54	—	—	—	—	—	—
2025	18	ROK MLE	ACL White Sox	—	132	115	36	6	2	1	12	27	4	4	8	313	397	426	823	113	402	20	9	352	124	—	—	—	—	—	—
2025	18	ROK RAW	ACL White Sox	—	132	108	44	8	3	1	19	19	4	4	8	407	511	565	1.076	157	489	14	14	472	124	—	—	—	—	—	—
2024	17	ROK MLE	DSL White Sox	—	191	167	35	3	1	0	19	25	3	11	11	210	302	240	541	30	240	13	10	248	54	—	—	—	—	—	—
2025	18	ROK MLE	ACL White Sox	—	132	115	36	6	2	1	12	27	4	4	8	313	397	426	823	113	397	20	9	352	124	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL White Sox	—	191	167	35	3	1	0	19	25	3	11	11	210	302	240	541	30	240	13	10	248	54	—	—	—	—	—	—
2025	18	ROK MLE	ACL White Sox	—	132	115	36	6	2	1	12	27	4	4	8	313	397	426	823	113	397	20	9	352	124	—	—	—	—	—	—
YTD	19	A MLE	CWS	—	202	172	26	6	3	1	22	70	2	1	7	151	255	238	493	87	238	35	11	225	39	-15	-3	+0	-1	+4	-1.4
▸ 2026 season
YTD	19	ROK RAW	CWS	—	53	44	10	3	2	0	8	13	1	0	5	227	358	386	745	159	323	25	15	338	39	—	—	—	—	—	—
YTD	19	A RAW	CWS	—	149	115	22	5	2	1	27	36	1	1	2	191	350	296	645	104	256	24	18	295	39	—	—	—	—	—	—
ROS	19	A MLE	CWS	0%	20	18	3	1	0	0	2	6	0	0	0	167	250	222	472	56	274	30	10	260	62	-1	+0	+0	-0	+0	-0.1
TOT	19	A MLE	CWS	—	222	190	29	7	3	1	24	76	2	1	7	153	255	237	491	84	239	34	11	228	41	-16	-3	+0	-1	+5	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	CWS	34%	272	241	49	10	2	4	26	77	3	4	4	203	289	311	600	108	278	28	10	274	72	-9	-1	+0	-2	+6	-0.6
2027	20	MLB CTX	CWS	34%	93	83	16	3	1	1	9	26	1	1	1	193	280	289	569	96	279	28	10	267	72	-3	-0	+0	-1	+2	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	93	83	16	3	1	1	9	26	1	1	1	193	280	289	569	96	268	28	10	267	77	-3	-0	+0	-1	+2	-0.2
/ 162G	—	A+C		—	650	580	112	21	7	7	63	182	7	7	7	193	280	290	570	97	269	28	10	267	77	-22	-1	+0	-4	+14	-1.3
Career	—	MLE		—	615	541	123	20	5	5	59	135	10	19	23	227	315	311	625	83	293	22	10	282	77	-10	-1	+0	-2	+6	-0.6
/ 162G	—	MLE		—	650	572	129	21	5	5	62	143	11	20	24	226	313	306	619	80	291	22	10	282	77	-22	-2	+0	-4	+14	-1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Adam 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
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#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 1 projected seasons	0.4	244	3	4	212	291	309	-1	+0	-0.2	-0.1
/162	664	8	11	-4.0	+0.0	-0.6	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
Christian Gonzalez (OGILVIE)	19	48→53	30→35	48→53	61	191/278/281	90	274	1	2	29%	10%	62	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Victor Padron 2013 · A	19	46	37→30	53→55	51	217/289/294	76	266	4	10	19%	8%	68	-1.0	230/291/277	47	289	1	15	19%	8%	63	-1.3	242/307/262	20	301	0	20	18%	9%	63	-0.4
✕Raynel Delgado 2019 · A	19	49→54	36→40	50→60	45	223/289/290	67	330	3	11	31%	8%	67	-1.1	205/259/278	73	306	4	10	32%	6%	53	-2.1	236/299/323	88	323	7	32	27%	7%	75	-0.4
✕Cornelius Randolph 2016 · A	19	48→47	38→40	46→45	50	221/301/310	89	290	3	8	23%	9%	76	-0.4	218/284/306	88	305	6	6	28%	7%	69	-0.9	215/280/298	84	300	7	5	29%	7%	63	-1.0
✕Jeisson Rosario 2019 · A	19	48→49	36→45	46→50	47	224/293/290	66	311	3	11	27%	8%	68	-1.0	208/289/275	67	306	4	10	30%	10%	64	-1.3	202/293/306	104	288	10	12	30%	11%	70	-0.5
✕Tyler Wade 2014 · A	19	50→55	35→40	52→60	47	225/299/286	61	335	2	12	31%	9%	70	-0.9	234/288/298	64	322	2	16	26%	7%	68	-1.0	233/301/326	94	313	6	34	26%	8%	77	-0.1
✕Magneuris Sierra 2015 · A	19	53→56	37→40	52→60	44	249/295/323	74	309	4	13	20%	6%	76	-0.4	238/270/305	67	319	3	15	25%	4%	61	-1.5	225/274/299	74	296	5	32	24%	6%	58	-0.8
✕Kahlil Watson 2022 · A	19	50→41	38→50	53→55	48	231/305/324	93	321	4	11	27%	9%	80	-0.1	181/251/300	119	313	13	17	43%	7%	56	-1.9	193/267/339	146	279	17	24	35%	8%	69	-0.7
✕Marcus Lemon 2007 · A	19	49→53	37→40	55→45	52	227/294/304	76	279	3	16	19%	8%	72	-0.7	235/294/322	87	300	4	9	22%	7%	76	-0.4	240/296/326	86	300	4	8	20%	6%	74	-0.5
✕Marco Vargas 2023 · A	18	47	38→40	50→60	51	221/294/308	87	285	4	13	23%	9%	73	-0.6	208/298/278	70	288	3	18	26%	11%	68	-1.0	213/291/276	63	314	3	36	30%	10%	62	-0.7
✕Jorge Burgos 2022 · A	19	50→51	37→50	51→45	43	230/291/317	87	329	3	9	29%	7%	73	-0.6	218/281/315	97	308	9	5	30%	7%	70	-0.9	200/265/302	102	280	11	3	31%	7%	59	-1.1
✕Alberto Rodriguez 2021 · A	20	43→52	39→45	52→50	43	208/260/292	85	279	6	14	27%	6%	56	-1.9	222/281/343	121	321	10	8	32%	7%	76	-0.4	219/279/346	127	314	10	7	32%	7%	73	-0.6
✕Ayendy Perez 2013 · A	19	46	35→30	49→60	48	211/290/270	59	283	1	12	24%	8%	63	-1.4	229/292/289	60	291	1	24	20%	7%	67	-1.1	241/299/295	54	302	0	33	19%	7%	68	-0.4
✕Yeicok Calderon 2010 · A	18	49	38→45	52→45	48	228/307/304	77	315	6	9	28%	9%	77	-0.3	210/272/330	120	310	11	6	34%	7%	70	-0.8	190/249/327	136	282	14	4	36%	7%	60	-0.6
✕Jean Ramirez 2019 · A	18	46→49	37→40	51→65	46	214/280/284	70	289	4	15	26%	8%	62	-1.4	220/283/288	68	285	5	22	23%	7%	64	-1.3	214/279/286	72	279	7	39	24%	7%	62	-0.5
✕Michael De La Cruz 2015 · A	19	43	35→40	46→50	50	199/283/256	57	281	2	10	28%	10%	57	-1.8	188/254/253	65	290	3	9	33%	8%	45	-2.7	169/235/227	58	265	2	10	34%	7%	30	-1.3
✕Alek Thomas 2019 · A	19	50→54	38→50	51→50	44	238/283/324	87	297	4	10	21%	6%	72	-0.7	243/298/367	124	326	10	10	27%	7%	87	+0.4	246/302/387	142	310	12	11	24%	7%	91	+0.6
✕Alvaro Montero 2018 · A	18	48	35→30	52→60	54	219/315/281	62	294	3	16	24%	11%	76	-0.4	215/296/270	55	306	2	18	27%	9%	65	-1.2	232/319/263	31	312	0	30	23%	9%	71	-0.4
✕Joe Dickerson 2006 · A	19	43→53	41→40	46→55	43	208/263/319	111	281	7	9	28%	7%	63	-1.3	227/275/325	98	284	7	14	22%	5%	69	-0.9	247/301/333	86	308	4	21	20%	6%	78	-0.1
✕Yohendrick Pinango 2022 · A	20	50→51	38→45	50	44	240/282/321	81	294	5	9	20%	5%	70	-0.8	212/257/310	98	267	9	10	23%	6%	59	-1.7	213/280/338	125	272	13	7	26%	8%	73	-0.5
✕Daniel Montesino 2023 · A	19	49	40→45	48→45	46	222/303/321	99	333	6	8	32%	9%	80	-0.2	201/267/274	73	313	3	9	34%	7%	55	-2.0	174/233/224	49	287	0	8	36%	6%	28	-1.1

Career Stats + Projections

Career Comps

Career Path Comps