Grant Magill

C Birmingham Barons

Age 26 R/R 5'11" / 195 lbs AA HR +4% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	24	A/ROKCWS	148	.266/.352/.320	1	0	43	—	.216/.276/.261
2026	25	AA/A+/INTL2 orgs	315	.236/.298/.359	5	2	38	—	.189/.238/.293
2027PROJMLE	26	MLBCWS	3	.179/.231/.267	0	0	39	-0.0
2028PROJ27% MLB	27	MLBCWS	42	.181/.235/.272	1	1	41	-0.1

Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 AA

Chase%34

ISO31

Speed27

Whiff%26

BB%20

wRC+14

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsStuart Levy (age 26) · Chandler Seagle (age 26) · Matt Whatley (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†39

AVG/OBP/SLG.179 / .231 / .267

PA3

HR0

K%33

BB%5

BABIP267

ISO97

MLB%2%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 20 / POW 34

Toolsscout grade

CONTACT20

scouting grade only

POWER34

scouting grade only

EYE40

scouting grade only

SPEED44

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
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
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. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2025	24	A	Kannapolis Cannon Ballers	—	126	109	26	3	0	0	14	32	1	0	2	239	331	266	597	28	329	25	11	279	33	—	—	—	—	—	—
2025	24	ROK	ACL White Sox	—	22	19	8	1	0	1	2	5	0	0	1	421	476	632	1.108	211	538	23	9	463	99	—	—	—	—	—	—
2026	25	AA	Birmingham Barons	—	160	143	28	6	1	3	12	58	3	1	0	196	272	315	587	119	298	36	8	265	22	—	—	—	—	—	—
2026	25	A+	Winston-Salem Dash	—	131	119	34	7	2	2	7	36	2	1	0	286	336	429	765	143	386	27	5	332	57	—	—	—	—	—	—
2026	25	INTL	Glendale Desert Dogs	—	24	22	5	1	0	0	1	9	0	0	0	227	261	273	534	45	357	38	4	233	44	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	24	A MLE	Kannapolis Cannon Ballers	—	126	114	22	2	0	0	9	43	1	0	2	193	258	211	469	18	292	34	7	217	33	—	—	—	—	—	—
2025	24	ROK MLE	ACL White Sox	—	22	20	7	1	0	1	1	7	0	0	1	350	381	550	931	200	404	32	5	315	99	—	—	—	—	—	—
2026	25	AA MLE	Birmingham Barons	—	160	147	23	5	1	2	8	71	3	1	0	156	215	245	460	88	256	44	5	201	22	—	—	—	—	—	—
2026	25	A+ MLE	Winston-Salem Dash	—	131	122	28	5	2	2	4	47	2	1	0	230	266	352	618	123	326	36	3	253	57	—	—	—	—	—	—
2025	24	A MLE	2 teams	—	148	134	28	3	0	1	10	50	1	0	3	209	269	254	523	45	318	34	7	232	43	—	—	—	—	—	—
2025	24	A RAW	2 teams	—	148	128	34	4	0	1	16	37	1	0	3	266	352	320	672	55	359	25	11	306	43	—	—	—	—	—	—
2026	25	AA MLE	3 teams	—	315	291	54	11	3	4	13	128	5	2	0	186	233	285	518	100	305	41	4	224	38	—	—	—	—	—	—
2026	25	AA RAW	3 teams	—	315	284	67	14	3	5	20	103	5	2	0	236	298	359	657	123	343	33	6	291	38	—	—	—	—	—	—
2025	24	A MLE	2 teams	—	148	136	28	3	0	1	10	50	1	0	3	206	269	250	519	44	309	34	7	232	43	—	—	—	—	—	—
2026	25	AA MLE	3 teams	—	315	294	54	11	3	4	13	128	5	2	0	184	233	282	515	99	288	41	4	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	24	A MLE	2 teams	—	148	136	28	3	0	1	10	50	1	0	3	206	269	250	519	44	309	34	7	232	43	—	—	—	—	—	—
2026	25	AA MLE	3 teams	—	315	294	54	11	3	4	13	128	5	2	0	184	233	282	515	99	288	41	4	224	38	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	CWS	2%	341	317	56	11	2	4	17	119	4	5	1	179	231	266	496	87	267	35	5	225	39	-25	+1	+0	+6	+7	-0.4
▸ 2027 — real world (MLB)
2027	26	MLB CTX	CWS	2%	3	3	0	0	0	0	0	1	0	0	0	179	231	267	499	88	267	33	0	226	39	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	CWS	27%	156	145	26	5	1	2	8	54	2	2	1	181	234	270	504	89	267	35	5	229	41	-11	+0	+0	+3	+3	-0.5
2028	27	MLB CTX	CWS	27%	42	39	7	1	0	1	2	14	1	1	0	181	235	272	507	90	268	33	5	230	41	-3	+0	+0	+1	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	42	39	7	1	0	1	2	14	1	1	0	179	238	282	520	103	250	33	5	230	40	-3	+0	+0	+1	+1	-0.1
/ 162G	—	A+C		—	650	604	107	15	0	15	31	217	15	15	0	177	235	276	512	99	247	33	5	230	40	-46	+3	+0	+12	+14	-1.7
Career	—	MLE		—	763	704	133	24	5	9	38	282	10	6	5	189	241	276	516	87	294	37	5	227	40	-21	+0	+0	+5	+6	-1.0
/ 162G	—	MLE		—	650	600	113	20	4	8	32	240	9	5	4	188	241	275	516	87	292	37	5	227	40	-46	+0	+0	+12	+14	-2.1

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.

2026 AABirmingham Barons · 160 PAwOBA .262 → .201 (−61)K% 36.2% → 44.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.25%	÷1.000	×1.220	—	—	44.22%
BB% (unintentional) /PA	7.50%	÷1.000	×0.680	—	×0.988	5.04%
HBP% /PA	1.88%	—	×0.840	—	×0.988	1.56%
Singles /BIP	21.18%	÷1.000	×0.920	×0.961	×0.988	18.49%
Doubles /BIP	7.06%	÷1.000	×0.910	×0.961	×0.988	6.10%
Triples /BIP	1.18%	÷1.000	×0.880	×0.961	×0.988	0.98%
Home runs /BIP	3.53%	÷1.000	×0.800	—	×0.988	2.79%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.

Result: wOBA .262 → .201; ISO .119 → .090; BABIP .298 → .256. 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).

2026 A+Winston-Salem Dash · 131 PAwOBA .328 → .253 (−76)K% 27.5% → 36.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.48%	÷1.000	×1.310	—	—	36.00%
BB% (unintentional) /PA	5.34%	÷1.000	×0.600	—	×0.968	3.10%
HBP% /PA	1.53%	—	×0.770	—	×0.968	1.14%
Singles /BIP	27.71%	÷1.000	×0.870	×1.033	×0.968	24.10%
Doubles /BIP	8.43%	÷1.000	×0.780	×1.033	×0.968	6.57%
Triples /BIP	2.41%	÷1.000	×0.850	×1.033	×0.968	2.05%
Home runs /BIP	2.41%	÷1.000	×0.880	—	×0.968	2.05%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .328 → .253; ISO .143 → .111; BABIP .386 → .326. 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).

2025 AKannapolis Cannon Ballers · 126 PAwOBA .277 → .217 (−60)K% 25.4% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.40%	÷1.009	×1.360	—	—	34.23%
BB% (unintentional) /PA	11.11%	÷1.030	×0.690	—	×0.970	7.22%
HBP% /PA	0.79%	—	×0.780	—	×0.970	0.60%
Singles /BIP	29.87%	÷1.018	×0.920	×1.022	×0.970	26.76%
Doubles /BIP	3.90%	÷0.992	×0.830	×1.022	×0.970	3.23%
Triples /BIP	0.00%	÷1.091	×0.910	×1.022	×0.970	0.00%
Home runs /BIP	0.00%	÷0.853	×0.800	—	×0.970	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 104, 2B 98, 3B 118, K 102, BB 106 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .277 → .217; ISO .028 → .022; BABIP .329 → .292. 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).

2025 ROKACL White Sox · 22 PAwOBA .450 → .315 (−135)K% 22.7% → 32.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.998	×1.440	—	—	32.80%
BB% (unintentional) /PA	9.09%	÷0.994	×0.620	—	×0.945	5.36%
HBP% /PA	0.00%	—	×0.720	—	×0.945	0.00%
Singles /BIP	42.86%	÷0.980	×0.820	—	×0.945	33.87%
Doubles /BIP	7.14%	÷1.039	×0.720	—	×0.945	4.68%
Triples /BIP	0.00%	÷0.900	×0.720	—	×0.945	0.00%
Home runs /BIP	7.14%	÷1.128	×0.780	—	×0.945	4.67%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 96, 2B 108, 3B 80, K 100, BB 99 — applied at half strength. Age: age 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).

Result: wOBA .450 → .315; ISO .211 → .134; BABIP .538 → .404. 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 — .

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
Grant Magill (OGILVIE)	26	20	34	44	40	177/229/263	86	267	2	2	35%	5%	39	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Stuart Levy 2019 · A	26	35	38→30	44→40	38	173/241/247	74	265	6	5	35%	6%	40	-3.0	190/250/278	88	303	8	7	37%	6%	50	-2.3	142/198/221	78	234	8	3	41%	6%	14	-1.0
✕Chandler Seagle 2022 · AA	26	40	38→40	44→45	35	192/246/276	84	282	5	5	32%	4%	48	-2.5	189/239/268	79	291	6	6	35%	5%	43	-2.8	169/217/235	66	268	5	4	37%	5%	24	-1.5
✕Matt Whatley 2022 · AA	26	40→37	38→40	45→50	44	193/265/267	75	277	6	14	31%	8%	53	-2.1	192/252/281	89	266	10	9	30%	6%	51	-2.2	172/233/253	81	229	10	8	29%	6%	36	-1.2
✕Mike Salvatore 2023 · A	26	32	42→40	49→45	42	169/233/265	96	237	10	5	32%	7%	40	-3.0	193/263/284	91	262	8	8	27%	8%	56	-1.9	178/258/254	76	233	6	7	25%	9%	45	-1.0
✕Connor Justus 2021 · AA	26	37	38→40	43→45	43	178/254/252	74	250	5	8	29%	7%	46	-2.6	193/256/269	76	288	5	7	32%	7%	50	-2.3	166/232/216	50	256	3	3	33%	6%	27	-2.1
✕Jordan Betts 2017 · AA	25	35→28	40→45	46→40	35	174/219/264	90	270	7	4	37%	5%	34	-3.5	192/239/303	111	289	12	4	36%	5%	51	-2.2	184/231/297	113	272	14	3	37%	5%	46	-1.6
✕Cody Bohanek 2021 · AAA	26	39→36	38→40	44→50	39	179/267/255	76	302	6	11	39%	7%	53	-2.1	178/274/281	103	290	9	15	38%	8%	61	-1.5	153/258/253	100	252	9	18	39%	9%	48	-1.3
✕Madison Stokes 2022 · AA	26	39→36	42→45	41→40	37	196/244/302	106	285	10	4	34%	5%	53	-2.1	186/258/289	103	297	9	9	37%	8%	56	-1.9	161/248/256	95	264	7	9	38%	9%	42	-1.5
✕Grant Koch 2023 · AA	26	35	42→45	44→30	41	180/247/279	99	256	11	4	33%	7%	49	-2.4	204/259/298	94	312	9	4	35%	6%	57	-1.8	194/243/276	82	299	9	0	36%	5%	43	-0.7
✕McCarthy Tatum 2022 · AA	26	33→25	41→50	45→50	35	170/234/264	94	274	10	6	40%	6%	41	-3.0	198/254/313	115	283	11	10	33%	5%	60	-1.6	196/248/320	125	268	11	11	30%	4%	56	-0.6
✕Travis Tartamella 2014 · AAA	26	38	38→30	43→30	36	186/228/257	71	273	6	4	34%	5%	36	-3.4	182/222/244	62	269	5	5	33%	5%	30	-3.8	147/182/178	30	221	1	0	33%	4%	-2	-1.9
✕Kekai Rios 2023 · AA	26	41	40	47→45	43	196/265/283	86	287	8	4	33%	8%	57	-1.8	188/249/274	86	281	8	6	34%	6%	49	-2.4	158/219/221	64	246	8	0	37%	5%	24	-1.3
✕Eric Yang 2024 · AAA	26	41	39→40	47→40	43	194/269/277	83	288	6	6	33%	8%	57	-1.8	203/280/276	73	313	5	6	34%	8%	61	-1.5	175/267/227	52	282	5	2	36%	9%	44	-0.6
✕Matt O'Neill 2024 · AAA	26	34	41→45	45	40	165/246/261	95	294	10	3	44%	9%	45	-2.7	192/262/291	99	303	9	5	36%	8%	57	-1.8	188/262/285	97	277	9	2	33%	9%	54	-0.6
✕Arden Pabst 2021 · AA	26	38	44→45	43→30	36	197/233/315	118	265	12	5	31%	4%	51	-2.2	181/226/303	122	274	15	5	39%	5%	47	-2.6	129/179/229	99	194	15	0	42%	5%	10	-1.6
✕Flint Wipke 2008 · AA	25	37→38	39→40	45	38	182/240/268	86	282	6	9	36%	6%	43	-2.8	192/248/296	104	315	10	9	40%	7%	53	-2.1	177/233/289	112	292	13	7	42%	7%	45	-1.0
✕Lyle Lin 2023 · AA	26	40	35→30	43→40	41	190/249/248	58	270	3	4	29%	6%	42	-2.9	210/277/282	72	282	5	5	26%	6%	61	-1.5	162/233/177	16	197	0	4	16%	6%	20	-0.8
✕Wade Kirkland 2015 · A	26	37→35	42→45	48→45	32	183/226/288	104	281	8	7	37%	4%	43	-2.8	190/221/270	80	310	7	8	39%	3%	36	-3.4	178/200/239	62	292	6	6	40%	2%	18	-2.0
✕Kale Emshoff 2024 · A	26	36→31	44→45	44→40	37	183/245/294	111	285	12	3	38%	6%	52	-2.2	199/255/321	122	312	14	6	38%	6%	61	-1.5	184/233/325	141	284	19	3	41%	5%	53	-0.8
✕Jake Anchia 2023 · AA	26	37	43→45	47→40	36	190/234/294	104	265	12	3	33%	5%	47	-2.5	184/231/293	109	261	12	5	33%	5%	46	-2.6	161/209/276	115	219	13	3	33%	4%	32	-1.7