Zach MacDonald — OGILVIE

Zach MacDonaldOF Lakeland Flying Tigers

Age 22 R/R 6'1" / 195 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION419 act + 10 ros · stats below = ROS only

showingROS

wRC+†67

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP241

ISO124

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 20 / POW 30

Toolsscout grade

CONTACT20

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED60

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	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
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		$-1.0M	+$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	20	A	Lakeland Flying Tigers	—	34	31	5	2	1	0	3	18	0	1	0	161	235	290	526	129	385	53	9	238	47	-2	+0	—	—	+1	-0.1
2025	21	A	Lakeland Flying Tigers	—	188	154	26	3	0	4	24	68	8	16	3	169	312	266	578	97	262	36	13	277	73	-6	+2	—	—	+4	0.0
2025	21	ROK	FCL Tigers	—	52	40	10	2	2	0	9	15	3	6	0	250	423	400	823	150	400	29	17	379	143	+3	+1	—	—	+1	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	20	A MLE	Lakeland Flying Tigers	—	34	32	2	1	0	0	2	25	0	1	0	62	118	94	211	31	310	74	6	116	-35	-5	+0	—	—	+1	-0.5
2025	21	A MLE	Lakeland Flying Tigers	—	188	159	18	2	0	3	19	97	8	16	3	113	242	182	424	69	232	52	10	207	26	-16	+2	—	—	+4	-1.1
2025	21	ROK MLE	FCL Tigers	—	52	43	7	1	1	0	6	22	3	6	0	163	308	233	540	70	324	42	12	257	60	-2	+1	—	—	+1	-0.0
2024	20	A MLE	Lakeland Flying Tigers	—	34	32	2	1	0	0	2	25	0	1	0	62	118	94	211	31	286	74	6	116	-35	—	—	—	—	—	—
2024	20	A RAW	Lakeland Flying Tigers	—	34	31	5	2	1	0	3	18	0	1	0	161	235	290	526	129	385	53	9	238	-35	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	240	202	25	4	1	3	25	118	11	22	3	124	256	198	454	74	265	49	10	218	34	—	—	—	—	—	—
2025	21	A RAW	2 teams	—	240	194	36	5	2	4	33	83	11	22	3	186	336	294	630	108	294	35	14	299	34	—	—	—	—	—	—
2024	20	A MLE	Lakeland Flying Tigers	—	34	32	2	1	0	0	2	25	0	1	0	62	118	94	211	31	310	74	6	116	-35	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	240	202	25	4	1	3	25	118	11	22	3	124	256	198	454	74	252	49	10	218	34	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	A MLE	Lakeland Flying Tigers	—	34	32	2	1	0	0	2	25	0	1	0	62	118	94	211	31	310	74	6	116	-35	—	—	—	—	—	—
2025	21	A MLE	2 teams	—	240	202	25	4	1	3	25	118	11	22	3	124	256	198	454	74	252	49	10	218	34	—	—	—	—	—	—
YTD	22	A MLE	DET	—	419	358	58	8	3	17	41	190	13	35	4	162	272	344	615	182	259	45	10	269	68	-16	+5	+0	-3	+9	-0.4
▸ 2026 season
YTD	22	A RAW	DET	—	402	329	73	10	4	22	53	127	13	34	4	222	352	477	829	255	273	32	13	361	68	—	—	—	—	—	—
YTD	22	A+ RAW	DET	—	17	16	4	0	0	1	1	7	0	1	0	250	294	438	732	188	375	41	6	323	68	—	—	—	—	—	—
ROS	22	A MLE	DET	0%	10	9	1	0	0	0	1	4	0	1	0	111	200	111	311		245	40	10	267	67	-0	+0	+0	-0	+0	-0.0
TOT	22	A MLE	DET	—	429	367	59	8	3	17	42	194	13	36	4	161	270	338	608	177	258	45	10	269	68	-16	+6	+0	-3	+9	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	34%	384	335	59	10	2	13	37	141	9	14	2	176	276	334	610	158	250	37	10	274	72	-13	+2	+0	-2	+8	-0.5
2028	24	MLB MLE	DET	46%	441	386	70	12	2	15	42	156	10	16	2	181	279	339	618	158	255	35	10	281	76	-12	+2	+0	-3	+10	-0.3
2029	25	MLB MLE	DET	52%	465	407	76	13	2	16	44	161	11	17	2	187	284	346	630	160	257	35	9	285	79	-12	+3	+0	-3	+10	-0.2
2030	26	MLB MLE	DET	54%	479	419	78	14	2	16	46	165	11	18	3	186	284	344	627	158	258	34	10	286	80	-11	+2	+0	-3	+10	-0.2
2031	27	MLB MLE	DET	54%	480	419	78	14	2	16	47	165	11	18	3	186	285	344	629	158	258	34	10	286	80	-11	+2	+0	-3	+10	-0.2
2032	28	MLB MLE	DET	54%	475	415	77	13	2	16	46	164	11	17	2	186	284	342	626	157	257	35	10	285	79	-12	+3	-1	-3	+10	-0.2
2033	29	MLB MLE	DET	58%	466	406	74	13	2	15	46	162	11	15	2	182	283	335	618	153	256	35	10	284	78	-12	+2	-1	-3	+10	-0.4
2027	23	MLB CTX	DET	34%	132	115	20	3	1	4	13	49	3	5	1	174	275	322	597	148	246	37	10	252	72	-4	+1	+0	-1	+3	-0.2
2028	24	MLB CTX	DET	46%	203	177	31	5	1	6	19	72	5	8	1	175	274	316	590	141	250	35	9	259	76	-6	+1	+0	-1	+4	-0.1
2029	25	MLB CTX	DET	52%	240	209	39	7	1	8	23	83	6	9	1	187	286	344	630	158	253	35	10	263	79	-6	+1	+0	-1	+5	-0.1
2030	26	MLB CTX	DET	54%	260	227	41	7	1	8	25	89	6	10	1	181	279	326	605	145	254	34	10	265	80	-6	+2	+0	-2	+6	-0.1
2031	27	MLB CTX	DET	54%	260	227	41	7	1	8	25	90	6	10	1	181	279	326	605	145	253	35	10	265	80	-6	+2	+0	-2	+6	-0.1
2032	28	MLB CTX	DET	54%	258	225	40	7	1	8	25	89	6	9	1	178	277	324	602	147	253	34	10	264	79	-6	+1	-0	-2	+6	-0.1
2033	29	MLB CTX	DET	58%	269	235	42	7	1	9	26	94	6	9	1	179	277	332	609	153	252	35	10	262	78	-7	+1	-1	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1622	1415	254	43	7	51	156	566	38	60	7	180	278	328	606	148	252	35	10	262	74	-42	+9	-1	-10	+35	-0.9
/ 162G	—	A+C		—	650	567	101	17	3	20	63	227	15	24	3	178	278	325	602	146	251	35	10	262	74	-17	+4	-0	-4	+14	-0.3
Career	—	MLE		—	3474	3030	540	94	15	110	336	1261	85	139	19	178	278	328	607	150	257	36	10	277	74	-84	+17	-2	-19	+69	-2.0
/ 162G	—	MLE		—	650	567	102	18	3	21	63	236	16	26	4	180	280	333	614	153	259	36	10	277	74	-17	+3	-0	-4	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	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
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Adam 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
#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 5 projected seasons	2.9	1,930	62	67	184	279	338	-12	+0	-0.4	-0.0
/162	664	21	23	-4.0	+0.0	-0.1	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
Zach MacDonald (OGILVIE)	22	20	30	60	50	164/267/312	148	245	10	17	39%	10%	67	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Bliss 2023 · A	23	35→45	44→45	52→60	39	184/241/293	109	256	12	21	32%	6%	50	-2.3	221/288/352	131	295	12	39	28%	8%	81	-0.1	221/289/349	127	292	11	41	26%	7%	78	-0.2
✕Jason Taylor 2010 · A	22	44→39	45	52→55	49	219/291/341	122	268	12	21	23%	8%	80	-0.2	208/259/316	108	271	10	13	26%	6%	61	-1.5	143/172/230	86	185	9	6	28%	3%	7	-1.1
✕Evan Chambers 2011 · A	22	40→37	44→40	49→50	50	201/292/316	115	273	12	19	29%	10%	75	-0.5	181/270/272	91	282	8	15	35%	10%	57	-1.8	159/254/235	76	256	6	15	37%	10%	42	-2.1
✕Troy Stokes Jr. 2018 · AA	22	41→38	45→50	53→55	45	208/273/335	127	264	12	20	26%	7%	72	-0.7	197/274/326	129	275	13	16	31%	8%	71	-0.8	175/261/293	118	246	12	18	32%	8%	57	-1.2
✕Christian Cairo 2023 · A	22	39→46	39→40	53→60	49	181/288/262	81	287	6	16	35%	11%	63	-1.4	203/293/281	78	295	5	23	30%	10%	68	-1.0	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Johan Lopez 2022 · A	22	43	44→45	56→55	44	209/290/327	118	301	11	16	32%	8%	76	-0.4	195/268/294	99	299	9	12	35%	8%	61	-1.5	172/246/253	81	260	7	12	34%	7%	41	-1.1
✕Max George 2019 · A	23	35→38	44→45	53→55	44	180/263/295	115	240	11	20	29%	7%	60	-1.6	190/276/300	110	283	11	20	34%	8%	66	-1.1	150/259/288	138	250	17	20	43%	10%	55	-0.8
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Tyler Kolodny 2010 · A	22	40→36	43→45	49→50	41	200/271/316	116	273	11	8	30%	6%	67	-1.1	208/282/338	130	278	13	10	29%	6%	76	-0.4	207/287/352	145	264	16	10	27%	6%	79	-0.1
✕Jose Rosario 2014 · A	22	41	44→40	51→50	42	207/260/321	114	253	11	12	23%	5%	63	-1.3	233/271/317	84	291	5	9	21%	4%	65	-1.2	241/271/319	78	302	4	9	21%	3%	62	-0.8
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Hayden Cantrelle 2022 · AA	23	34	41→40	54→60	55	164/295/260	96	258	8	24	35%	14%	66	-1.1	190/306/293	103	293	8	20	33%	12%	76	-0.4	190/308/293	103	292	8	21	33%	12%	74	-0.3
✕Charcer Burks 2017 · A	22	40→46	39→40	52→50	43	196/262/287	92	272	6	17	29%	7%	57	-1.8	205/277/295	90	285	7	14	28%	8%	64	-1.3	201/275/282	81	279	6	14	28%	8%	59	-1.4
✕Sean Coyle 2014 · A	22	36	49→50	54→50	37	192/251/336	144	277	17	14	36%	6%	64	-1.3	200/259/334	134	299	16	13	36%	7%	67	-1.1	181/245/299	117	275	13	12	37%	7%	50	-1.3
✕Justin Farmer 2023 · A	24	38→33	44→40	54→55	51	186/293/300	113	289	12	20	36%	12%	73	-0.6	188/264/278	90	313	8	18	39%	9%	56	-1.9	158/223/219	62	275	5	22	41%	7%	24	-2.3
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Manuel Hilario 2014 · A	22	44	40→45	57→55	47	209/283/310	101	272	6	18	24%	8%	70	-0.8	206/261/285	79	284	5	10	28%	6%	55	-1.9	167/216/208	41	224	4	10	26%	4%	19	-0.8
✕Jeter Downs 2019 · A	21	41→40	43→50	52→55	43	204/269/311	107	264	11	18	26%	6%	65	-1.2	205/270/351	146	270	17	18	29%	7%	75	-0.5	171/263/306	134	238	15	26	33%	8%	61	-0.7
✕John Rhodes 2023 · AA	22	43→35	41→45	58→50	48	207/287/310	103	275	7	16	26%	8%	72	-0.7	186/253/287	101	260	10	9	31%	7%	53	-2.1	169/236/259	90	237	10	7	31%	7%	38	-2.3
✕Juan Mora 2021 · A	21	43	42→45	53→55	49	209/289/317	108	255	9	14	21%	8%	74	-0.5	227/292/341	114	308	10	10	28%	6%	80	-0.1	222/278/328	106	295	10	8	27%	5%	70	-0.4

Career Stats + Projections

Career Comps

Career Path Comps