Cam Gibson

PosLF

B/TL/R

Born1994-02-12

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2020

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	24	AA/A+DET	454	.244/.348/.370	8	22	59	—	.202/.280/.297
2019	25	AADET	457	.235/.325/.382	9	25	51	—	.192/.258/.288
2020	26	INTLSydney Blue S…	52	.298/.353/.340	0	2	97	—

Contract

No contract data on file.

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. 2027 = full-season projection (no games played yet). 2028+ 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)
2016	22	A	West Michigan Whitecaps	—	448	394	87	12	7	6	42	110	4	26	9	221	302	332	634	112	290	25	9	285	32	—	—	—	—	—	—
2017	23	A+	Lakeland Flying Tigers	—	174	146	35	10	4	3	22	46	1	7	2	240	343	425	768	185	323	26	13	333	53	—	—	—	—	—	—
2017	23	A	West Michigan Whitecaps	—	303	263	72	10	7	10	25	45	2	12	4	274	341	479	820	205	290	15	8	345	75	—	—	—	—	—	—
2017	23	INTL	Mesa Solar Sox	—	86	75	15	5	1	0	9	24	2	4	3	200	302	293	596	93	294	28	10	278	74	—	—	—	—	—	—
2018	24	AA	Erie SeaWolves	—	180	152	38	7	2	4	19	43	1	6	2	250	335	401	737	151	312	24	11	318	70	—	—	—	—	—	—
2018	24	A+	Lakeland Flying Tigers	—	274	229	55	7	3	4	36	61	5	16	6	240	356	349	705	109	309	22	13	321	51	—	—	—	—	—	—
2019	25	AA	Erie SeaWolves	—	457	400	94	20	6	9	46	102	7	25	7	235	325	383	707	148	291	22	10	317	51	—	—	—	—	—	—
2020	26	INTL	Sydney Blue Sox	—	52	47	14	2	0	0	4	5	0	2	0	298	353	340	693	43	333	10	8	312	97	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	A MLE	West Michigan Whitecaps	—	448	407	68	9	5	6	30	152	4	26	9	167	231	258	489	91	242	34	7	215	32	—	—	—	—	—	—
2017	23	A+ MLE	Lakeland Flying Tigers	—	174	154	28	9	3	1	14	66	1	7	2	182	254	299	553	117	285	38	8	246	53	—	—	—	—	—	—
2017	23	A MLE	West Michigan Whitecaps	—	303	271	59	8	5	9	17	62	2	12	4	218	269	384	653	166	230	20	6	279	75	—	—	—	—	—	—
2018	24	AA MLE	Erie SeaWolves	—	180	159	35	6	2	3	13	53	1	6	2	220	283	340	623	119	281	29	7	271	70	—	—	—	—	—	—
2018	24	A+ MLE	Lakeland Flying Tigers	—	274	241	46	6	2	3	24	88	5	16	6	191	278	270	547	79	275	32	9	244	51	—	—	—	—	—	—
2019	25	AA MLE	Erie SeaWolves	—	457	416	80	15	5	5	30	125	7	25	7	192	258	288	547	96	255	27	7	244	51	—	—	—	—	—	—
2016	22	A MLE	West Michigan Whitecaps	—	448	407	68	9	5	6	30	152	4	26	9	167	231	258	489	91	248	34	7	215	32	—	—	—	—	—	—
2016	22	A RAW	West Michigan Whitecaps	—	448	394	87	12	7	6	42	110	4	26	9	221	302	332	634	112	290	25	9	285	32	—	—	—	—	—	—
2017	23	A MLE	3 teams	—	563	503	104	21	10	13	37	151	5	23	9	207	268	366	634	159	262	27	7	267	67	—	—	—	—	—	—
2017	23	A RAW	3 teams	—	563	484	122	25	12	13	56	115	5	23	9	252	336	434	770	182	299	20	10	331	67	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	454	399	81	12	4	6	38	140	6	22	8	203	282	298	580	95	291	31	8	255	59	—	—	—	—	—	—
2018	24	A+ RAW	2 teams	—	454	381	93	14	5	8	55	104	6	22	8	244	348	370	718	126	310	23	12	320	59	—	—	—	—	—	—
2019	25	AA MLE	Erie SeaWolves	—	457	416	80	15	5	5	30	125	7	25	7	192	258	288	547	96	260	27	7	244	51	—	—	—	—	—	—
2019	25	AA RAW	Erie SeaWolves	—	457	400	94	20	6	9	46	102	7	25	7	235	325	383	707	148	291	22	10	317	51	—	—	—	—	—	—
2020	26	INTL MLE	Sydney Blue Sox	—	52	47	14	2	0	0	4	5	0	2	0	298	353	340	693	43	333	10	8	—	—	—	—	—	—	—	—
2020	26	INTL RAW	Sydney Blue Sox	—	52	47	14	2	0	0	4	5	0	2	0	298	353	340	693	43	333	10	8	312	97	—	—	—	—	—	—
2016	22	A MLE	West Michigan Whitecaps	—	448	411	68	9	5	6	30	152	4	26	9	165	231	255	487	90	242	34	7	215	32	—	—	—	—	—	—
2017	23	A MLE	3 teams	—	563	516	104	21	10	13	37	151	5	23	9	202	268	357	624	155	250	27	7	267	67	—	—	—	—	—	—
2018	24	A+ MLE	2 teams	—	454	407	81	12	4	6	38	140	6	22	8	199	282	292	575	93	277	31	8	255	59	—	—	—	—	—	—
2019	25	AA MLE	Erie SeaWolves	—	457	417	80	15	5	5	30	125	7	25	7	192	258	288	546	96	255	27	7	244	51	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1974	1772	347	59	24	30	139	573	22	98	33	196	263	307	570	111	267	29	7	240	49	-121	+6	+0	-21	+43	-9.5
/ 162G	—	MLE		—	650	583	114	19	8	10	46	189	7	32	11	196	263	307	570	111	267	29	7	240	49	-40	+2	+0	-7	+14	-3.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2019 AAErie SeaWolves · 457 PAwOBA .310 → .244 (−66)K% 22.3% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.32%	÷0.994	×1.220	—	—	27.38%
BB% (unintentional) /PA	9.85%	÷1.050	×0.700	—	×0.998	6.55%
HBP% /PA	1.53%	—	×0.850	—	×0.998	1.30%
Singles /BIP	19.80%	÷0.978	×0.970	×0.950	×0.998	18.61%
Doubles /BIP	6.71%	÷1.077	×0.860	×0.950	×0.998	5.08%
Triples /BIP	2.01%	÷1.127	×0.950	×0.950	×0.998	1.61%
Home runs /BIP	3.02%	÷1.294	×0.780	—	×0.998	1.82%

Factors used: league row EL. Park (home-season share, regressed): HR 159, 1B 96, 2B 115, 3B 125, K 99, BB 110 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .310 → .244; ISO .147 → .102; BABIP .291 → .255. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 A+Lakeland Flying Tigers · 274 PAwOBA .315 → .244 (−71)K% 22.3% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.26%	÷0.987	×1.420	—	—	32.03%
BB% (unintentional) /PA	13.14%	÷1.097	×0.750	—	×0.988	8.88%
HBP% /PA	1.82%	—	×0.930	—	×0.988	1.68%
Singles /BIP	24.40%	÷0.974	×0.920	×0.974	×0.988	22.19%
Doubles /BIP	4.17%	÷0.995	×0.960	×0.974	×0.988	3.87%
Triples /BIP	1.79%	÷1.150	×0.810	×0.974	×0.988	1.21%
Home runs /BIP	2.38%	÷1.277	×0.880	—	×0.988	1.62%

Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .315 → .244; ISO .109 → .077; BABIP .309 → .275. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAErie SeaWolves · 180 PAwOBA .316 → .271 (−45)K% 23.9% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.89%	÷0.999	×1.220	—	—	29.19%
BB% (unintentional) /PA	10.56%	÷1.007	×0.700	—	×1.012	7.43%
HBP% /PA	0.56%	—	×0.850	—	×1.012	0.48%
Singles /BIP	22.94%	÷1.016	×0.970	×0.951	×1.012	21.07%
Doubles /BIP	6.42%	÷0.974	×0.860	×0.951	×1.012	5.46%
Triples /BIP	1.83%	÷0.901	×0.950	×0.951	×1.012	1.86%
Home runs /BIP	3.67%	÷1.112	×0.780	—	×1.012	2.60%

Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 103, 2B 95, 3B 80, K 100, BB 101 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .316 → .271; ISO .151 → .127; BABIP .312 → .281. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 AWest Michigan Whitecaps · 303 PAwOBA .343 → .279 (−64)K% 14.9% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.85%	÷0.978	×1.360	—	—	20.64%
BB% (unintentional) /PA	8.25%	÷0.992	×0.690	—	×0.990	5.68%
HBP% /PA	0.66%	—	×0.780	—	×0.990	0.51%
Singles /BIP	20.64%	÷1.084	×0.920	×0.950	×0.990	16.48%
Doubles /BIP	4.59%	÷0.958	×0.830	×0.950	×0.990	3.74%
Triples /BIP	3.21%	÷1.150	×0.910	×0.950	×0.990	2.39%
Home runs /BIP	4.59%	÷0.849	×0.800	—	×0.990	4.28%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 117, 2B 92, 3B 130, K 96, BB 98 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .343 → .279; ISO .205 → .180; BABIP .290 → .230. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 A+Lakeland Flying Tigers · 174 PAwOBA .328 → .246 (−83)K% 26.4% → 37.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.44%	÷0.995	×1.420	—	—	37.75%
BB% (unintentional) /PA	12.64%	÷1.138	×0.750	—	×0.998	8.32%
HBP% /PA	0.57%	—	×0.930	—	×0.998	0.53%
Singles /BIP	18.00%	÷1.012	×0.920	×0.961	×0.998	15.69%
Doubles /BIP	10.00%	÷0.918	×0.960	×0.961	×0.998	10.03%
Triples /BIP	4.00%	÷1.039	×0.810	×0.961	×0.998	2.99%
Home runs /BIP	3.00%	÷1.747	×0.880	—	×0.998	1.51%

Factors used: league row FSL. Park (home-season share, regressed): HR 249, 1B 102, 2B 84, 3B 108, K 99, BB 128 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .328 → .246; ISO .185 → .131; BABIP .323 → .285. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AWest Michigan Whitecaps · 448 PAwOBA .277 → .215 (−62)K% 24.6% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.55%	÷0.983	×1.360	—	—	33.97%
BB% (unintentional) /PA	9.15%	÷0.957	×0.690	—	—	6.60%
HBP% /PA	0.89%	—	×0.780	—	—	0.70%
Singles /BIP	21.83%	÷1.036	×0.920	×0.950	—	18.42%
Doubles /BIP	4.23%	÷1.013	×0.830	×0.950	—	3.29%
Triples /BIP	2.46%	÷1.056	×0.910	×0.950	—	2.02%
Home runs /BIP	2.11%	÷0.770	×0.800	—	—	2.19%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 54, 1B 107, 2B 103, 3B 111, K 97, BB 91 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .277 → .215; ISO .112 → .093; BABIP .290 → .242. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .