Forrest Wall — OGILVIE

Forrest WallLF Iowa Cubs

Age 30 L/R 6'0" / 195 lbs AAA BB +5%HR -4% Svc 3.000 · Ctrl thru 2028 peak 0.9 · 2027

wRC+†109

AVG/OBP/SLG.251 / .324 / .407

PA250

HR8

SB19

K%27

BB%9

MLB%10%

Scouting · now → future

HIT

55→55

PWR

45→45

SPD

60→60

EYE

50↗55

trajectory · 10 yrs

1.1peak

2027

Contract

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

Status Arb-1

MLB Debut 2023

Service 3.000 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$1M	+0.8	$3M	+$2M
2027	Arb-2	$3M	+0.9	$4M	+$0.9M
2028	Arb-3	$3M	+0.5	$2M	+$0.0M (cut)
Totals		$6M		$9M	+$3M

Career Projections (MLE)

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	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
2014	18	ROK	Grand Junction Rockies	188	167	39	4	4	2	17	46	0	18	5	.234	.304	.341	.646	.108	.308	24	9	.287	78	-5	+2	+0	-2	+5	0.0
2015	19	A	Asheville Tourists	416	378	82	9	9	5	24	92	3	23	9	.217	.269	.328	.597	.111	.270	22	6	.259	56	-20	+1	+0	-4	+12	-1.2
2016	20	A+	Modesto Nuts	521	471	105	14	2	6	29	138	6	22	11	.223	.277	.299	.576	.076	.298	26	6	.252	51	-29	+0	+0	-6	+15	-2.0
2017	21	A+	Lancaster JetHawks	98	90	21	3	1	2	6	24	0	5	3	.233	.281	.356	.637	.122	.292	24	6	.259	56	-5	-0	+0	-1	+3	-0.3
2018	22	AA	2 teams	567	518	108	18	5	8	37	176	9	38	14	.208	.273	.309	.582	.100	.299	31	7	.259	56	-28	+2	+0	-6	+16	-1.6
2019	23	AA	2 teams	522	477	106	22	5	11	40	156	4	14	8	.222	.288	.358	.646	.136	.306	30	8	.279	72	-17	-0	+0	-6	+15	-0.8
2021	25	AAA	Buffalo Bisons	336	308	66	13	4	1	19	109	6	35	4	.214	.273	.292	.565	.078	.325	32	6	.250	50	-19	+5	+0	-4	+10	-0.8
2022	26	AAA	Tacoma Rainiers	467	426	88	15	2	4	28	159	8	52	12	.207	.268	.279	.548	.073	.316	34	6	.248	48	-27	+6	+0	-5	+13	-1.4
2023	27	AAA	2 teams	426	383	102	17	6	8	38	111	2	57	9	.266	.336	.405	.740	.138	.352	26	9	.322	104	+2	+8	-0	-5	+12	1.8
2024	28	AAA	2 teams	377	335	89	9	3	5	33	103	6	24	8	.266	.342	.355	.697	.090	.370	27	9	.310	95	-2	+2	-0	-4	+11	0.6
2025	29	AAA	Iowa Cubs	339	299	77	14	2	5	27	92	6	29	4	.258	.331	.368	.699	.110	.350	27	8	.305	92	-3	+4	+0	-4	+10	0.7
▸ 2026 Season
2026	30	MLB	CHC	250	224	57	8	2	8	21	67	3	19	4	.254	.327	.415	.742	.161	.323	27	8	.328	109	+3	+2	-1	-3	+7	0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 20%	CHC	365	327	81	12	2	11	31	98	4	26	5	.248	.320	.398	.718	.150	.319	27	8	.324	106	+3	+3	-4	-4	+10	0.8
2028	32	MLB 33%	CHC	346	310	75	11	2	10	29	93	4	23	4	.242	.315	.387	.702	.145	.315	27	8	.319	102	+1	+3	-5	-4	+10	0.5
2029	33	MLB 43%	CHC	316	282	68	10	2	9	27	87	4	20	4	.241	.316	.387	.703	.145	.313	28	9	.313	97	-1	+2	-6	-3	+9	0.2
2030	34	MLB 52%	CHC	272	244	58	9	2	7	23	77	3	16	3	.238	.311	.377	.688	.139	.311	28	8	.306	92	-2	+2	-6	-3	+8	-0.2
2031	35	MLB 64%	CHC	221	199	45	7	1	5	18	64	2	13	2	.226	.297	.347	.644	.121	.309	29	8	.298	86	-3	+2	-7	-2	+6	-0.4
2032	36	MLB 73%	CHC	164	148	34	5	1	4	13	50	2	9	1	.230	.301	.358	.659	.128	.306	30	8	.288	79	-4	+1	-7	-2	+5	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			6191	5586	1301	200	55	111	460	1742	72	443	110	.233	.300	.348	.648	.115	.316	28	7	.286	77	-158	+45	-36	-66	+175	-4.2
/ 162G	—			650	586	137	21	6	12	48	183	8	47	12	.234	.301	.352	.652	.118	.316	28	7	.286	77	-17	+5	-4	-7	+18	-0.4

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2014	18	ROK	Grand Junction Rockies	188	157	50	6	6	3	27	32	0	18	5	.318	.418	.490	.909	.172	.382	17	14	.394	160	+13	+2	—	—	+5	2.0
2015	19	A	Asheville Tourists	416	361	101	16	10	7	41	72	3	23	9	.280	.358	.438	.796	.158	.329	17	10	.345	122	+11	+1	—	—	+12	2.4
2016	20	A+	Modesto Nuts	521	459	121	16	4	6	41	97	6	22	11	.264	.332	.355	.687	.092	.319	19	8	.304	91	-5	+0	—	—	+15	1.0
2017	21	A+	Lancaster JetHawks	98	87	26	4	1	3	9	16	0	5	3	.299	.365	.471	.836	.172	.333	16	9	.363	136	+4	-0	—	—	+3	0.7
2018	22	AA	New Hampshire Fisher Cats	337	299	70	13	3	7	30	88	7	18	6	.234	.318	.368	.686	.134	.307	26	9	.311	96	-2	+1	—	—	+10	0.9
2018	22	A+	Lancaster JetHawks	230	203	62	11	5	3	23	47	2	20	8	.305	.382	.453	.835	.148	.386	20	10	.369	141	+11	+1	—	—	+7	1.8
2019	23	AAA	Buffalo Bisons	53	47	12	3	0	2	6	14	0	1	0	.255	.340	.447	.786	.191	.323	26	11	.350	126	+2	+0	—	—	+2	0.3
2019	23	AA	New Hampshire Fisher Cats	469	415	112	27	4	9	49	109	4	13	8	.270	.353	.419	.772	.149	.347	23	10	.346	123	+12	-1	—	—	+13	2.5
2021	25	AAA	Buffalo Bisons	336	297	79	15	5	1	30	87	6	35	4	.266	.345	.360	.706	.094	.370	26	9	.319	102	+1	+5	—	—	+10	1.6
2022	26	AAA	Tacoma Rainiers	467	412	105	17	3	6	42	125	8	52	12	.255	.335	.354	.690	.100	.349	27	9	.312	97	-2	+6	—	—	+13	1.8
2023	27	MLB	Atlanta Braves	15	13	6	2	0	1	2	4	0	5	1	.462	.533	.846	1.379	.385	.625	27	13	.584	305	+3	+1	-0	-5	+0	-0.0
2023	27	AAA	Gwinnett Stripers	411	354	99	16	6	8	52	90	2	52	8	.280	.375	.427	.802	.147	.351	22	13	.358	132	+15	+7	—	—	+12	3.4
2024	28	MLB	Miami Marlins	35	32	8	0	0	0	3	8	0	4	3	.250	.314	.250	.564	.000	.333	23	9	.267	62	-1	-0	-0	-4	+1	-0.5
2024	28	AAA	Norfolk Tides	342	291	81	11	2	6	42	88	6	20	5	.278	.381	.392	.772	.113	.381	26	12	.350	126	+10	+2	—	—	+10	2.2
2025	29	AAA	Iowa Cubs	339	287	83	18	2	6	39	76	6	29	4	.289	.386	.429	.814	.139	.368	22	12	.360	134	+13	+4	—	—	+10	2.7
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			50	45	14	2	0	1	5	12	0	9	4	.311	.380	.422	.802	.111	.406	24	10	.362	135	+2	+0	-0	-9	+1	-0.5

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
Forrest Wall (OGILVIE)	30	55	45	60	55	.251/.324/.407	.157	.323	8	19	27%	9%	109	+1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Villar 2021 · MLB	30	53→58	48→50	58→65	48	.260/.326/.398	.138	.331	16	34	25%	8%	106	+2.2	.241/.303/.386	.145	.309	17	22	26%	8%	94	+1.3	.232/.294/.377	.145	.296	17	20	27%	8%	83	+0.4
●Dairon Blanco 2023 · AAA	30	49→52	48→50	62→70	41	.242/.296/.383	.141	.312	16	41	27%	6%	90	+1.0	.254/.315/.388	.134	.326	14	69	25%	6%	99	+1.7	.253/.319/.379	.126	.320	13	95	24%	6%	96	+0.6
●Scott Podsednik 2005 · MLB	29	55→65	44→45	66→65	54	.267/.334/.393	.126	.301	10	45	15%	9%	108	+2.3	.265/.329/.361	.096	.310	5	45	15%	8%	98	+1.6	.287/.340/.379	.092	.327	6	34	13%	7%	102	+1.5
●Will Venable 2013 · MLB	30	50→56	49→55	63→60	49	.248/.318/.408	.160	.305	15	31	24%	9%	105	+2.1	.247/.306/.401	.154	.302	16	23	23%	7%	98	+1.6	.241/.301/.379	.138	.298	15	22	24%	7%	84	+0.5
●Donzell McDonald II 2006 · AAA	31	49→59	49→50	65	49	.247/.319/.406	.159	.294	16	42	22%	8%	105	+2.1	.256/.325/.406	.150	.316	12	36	22%	9%	108	+2.3	.282/.347/.435	.153	.347	11	22	20%	8%	122	+2.6
✕Greg Allen 2023 · MLB	30	51→56	44→45	60→65	45	.243/.333/.365	.121	.319	11	34	25%	7%	102	+1.8	.225/.314/.348	.123	.296	10	36	26%	7%	90	+1.0	.214/.305/.335	.121	.286	9	40	26%	7%	80	+0.1
●Carl Crawford 2012 · MLB	30	56→65	49→55	62→65	48	.275/.324/.434	.158	.311	15	34	17%	6%	114	+2.7	.270/.314/.412	.142	.311	12	23	17%	5%	105	+2.1	.291/.334/.417	.126	.335	10	27	16%	5%	112	+1.5
✕Alexis Gomez 2011 · AAA	32	55→61	52→55	59→55	47	.279/.325/.445	.166	.317	21	33	19%	6%	118	+3.0	.261/.307/.403	.142	.302	15	22	18%	6%	99	+1.7	.252/.295/.373	.121	.290	9	13	16%	4%	85	+0.2
✕Jon Berti 2020 · MLB	30	52→59	45	60	47	.254/.322/.384	.130	.317	12	32	23%	8%	101	+1.8	.245/.333/.363	.118	.314	11	30	23%	10%	101	+1.8	.259/.328/.356	.097	.323	8	39	21%	9%	90	+0.6
✕Dylan Moore 2023 · MLB	30	44→48	52→50	57→65	52	.221/.329/.392	.171	.290	19	34	29%	11%	108	+2.3	.214/.318/.385	.171	.289	18	32	30%	11%	101	+1.8	.199/.301/.374	.174	.267	20	37	31%	10%	88	+0.4
●Starling Marte 2019 · MLB	30	56→65	49→60	58→60	45	.281/.333/.436	.156	.324	17	35	19%	6%	119	+3.1	.288/.343/.468	.180	.324	20	29	17%	6%	132	+4.0	.300/.360/.477	.177	.340	20	36	17%	6%	137	+3.3
✕Chris Dickerson 2013 · MLB	31	52→55	45→50	60	47	.246/.315/.377	.131	.340	11	29	29%	9%	96	+1.5	.241/.309/.372	.131	.333	12	21	29%	8%	92	+1.2	.235/.317/.352	.116	.335	11	19	30%	9%	88	+0.5
✕Sam Haggerty 2023 · MLB	29	48→43	48→50	61→65	46	.239/.309/.386	.147	.307	15	32	26%	8%	96	+1.5	.248/.324/.382	.134	.313	12	36	23%	9%	102	+1.8	.258/.338/.390	.132	.319	9	43	21%	10%	106	+1.1
✕Jacoby Ellsbury 2014 · MLB	30	58→66	48→55	61→65	51	.288/.342/.437	.148	.315	15	35	14%	7%	123	+3.3	.266/.325/.382	.116	.303	11	31	15%	8%	101	+1.8	.256/.320/.363	.107	.292	9	27	15%	8%	90	+1.0
✕Rajai Davis 2011 · MLB	30	57→64	41→50	65→70	47	.273/.318/.379	.106	.315	7	50	15%	6%	97	+1.5	.256/.302/.368	.112	.307	7	51	18%	6%	88	+0.9	.262/.309/.394	.132	.306	11	49	18%	5%	94	+0.9
●Dave Roberts 2003 · MLB	31	55→61	40→45	65	58	.263/.337/.362	.099	.289	6	43	12%	10%	101	+1.8	.255/.334/.354	.099	.282	6	45	11%	10%	98	+1.6	.269/.347/.389	.121	.301	6	47	12%	10%	108	+1.8
✕Roger Bernadina 2013 · MLB	29	51→61	46→45	56→60	49	.253/.318/.384	.131	.303	14	28	21%	8%	99	+1.7	.219/.295/.337	.118	.294	11	19	28%	8%	78	+0.2	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1
●Eduardo Núñez 2017 · MLB	30	54→62	48→50	57→60	46	.269/.308/.413	.145	.294	16	30	15%	5%	102	+1.9	.272/.305/.411	.139	.295	15	23	13%	4%	101	+1.8	.266/.293/.391	.125	.288	13	18	13%	3%	89	+0.6
●Chone Figgins 2008 · MLB	30	60→69	41→45	64→65	56	.288/.354/.396	.108	.332	7	44	15%	9%	116	+2.8	.282/.364/.362	.080	.338	4	36	16%	12%	112	+2.6	.271/.362/.333	.063	.327	2	36	16%	12%	101	+2.0
●Brett Gardner 2013 · MLB	29	56→59	41→55	65	59	.263/.354/.374	.111	.312	7	42	17%	12%	111	+2.5	.256/.330/.396	.140	.314	11	23	20%	9%	107	+2.2	.248/.332/.422	.175	.280	19	16	18%	10%	111	+2.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)