Travis Honeyman — OGILVIE

Travis HoneymanOF Springfield Cardinals

Age 24 R/R 6'2" / 190 lbs AA HR -14%BB -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION329 act + 9 ros · stats below = ROS only

showingROS

wRC+†86

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP290

ISO81

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$4M ctrl surplus

Tools · ContractCON 50 / POW 25

Toolsscout grade

CONTACT50

scouting grade only

POWER25

scouting grade only

EYE50

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2030	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-1	$0.6M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-2	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$2M	+$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	22	A	Palm Beach Cardinals	—	60	56	18	7	0	0	3	8	1	1	1	321	367	446	813	125	375	13	5	363	132	+2	-0	—	—	+1	0.3
2024	22	ROK	FCL Cardinals	—	22	17	7	4	0	0	5	3	0	1	1	412	545	647	1.193	235	500	14	23	515	235	+4	-0	—	—	+0	0.4
2025	23	A+	Peoria Chiefs	—	228	183	49	5	1	1	27	43	13	3	0	268	399	322	722	55	333	19	12	336	113	+4	+1	—	—	+5	0.9
2025	23	A	Palm Beach Cardinals	—	130	106	34	5	1	2	20	19	4	7	1	321	446	443	890	123	376	15	15	405	160	+9	+1	—	—	+3	1.3
2025	23	INTL	Glendale Desert Dogs	—	52	44	8	1	0	2	5	12	2	4	0	182	294	341	635	159	194	23	10	287	80	-1	+1	—	—	+1	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A MLE	Palm Beach Cardinals	—	60	57	14	5	0	0	2	12	1	1	1	246	283	333	617	88	308	20	3	272	70	-2	-0	—	—	+1	-0.1
2024	22	ROK MLE	FCL Cardinals	—	22	19	6	3	0	0	3	4	0	1	1	316	409	474	883	158	379	18	14	367	135	+1	-0	—	—	+0	0.1
2025	23	A+ MLE	Peoria Chiefs	—	228	191	42	4	1	1	19	61	13	3	0	220	332	267	599	47	289	27	8	271	70	-8	+1	—	—	+5	-0.3
2025	23	A MLE	Palm Beach Cardinals	—	130	112	32	5	1	2	14	27	4	7	1	286	385	402	786	116	363	21	11	351	124	+4	+1	—	—	+3	0.8
2024	22	A MLE	2 teams	—	82	76	19	8	0	0	5	16	1	2	2	250	305	355	660	105	317	20	6	297	87	—	—	—	—	—	—
2024	22	A RAW	2 teams	—	82	73	25	11	0	0	8	11	1	2	2	342	415	493	908	151	403	13	10	404	87	—	—	—	—	—	—
2025	23	A+ MLE	3 teams	—	410	347	84	10	2	3	38	101	19	14	1	242	349	308	657	66	325	25	9	300	89	—	—	—	—	—	—
2025	23	A+ RAW	3 teams	—	410	333	91	11	2	5	52	74	19	14	1	273	401	363	764	90	331	18	13	351	89	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	82	76	19	8	0	0	5	16	1	2	2	250	305	355	660	105	327	20	6	297	87	—	—	—	—	—	—
2025	23	A+ MLE	3 teams	—	410	350	84	10	2	3	38	101	19	14	1	240	349	306	655	66	316	25	9	300	89	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A MLE	2 teams	—	82	76	19	8	0	0	5	16	1	2	2	250	305	355	660	105	327	20	6	297	87	—	—	—	—	—	—
2025	23	A+ MLE	3 teams	—	410	350	84	10	2	3	38	101	19	14	1	240	349	306	655	66	316	25	9	300	89	—	—	—	—	—	—
YTD	24	AA MLE	STL	—	329	293	72	5	2	7	26	67	9	26	6	246	326	348	674	102	295	20	8	301	90	-4	+3	+0	-2	+7	0.4
▸ 2026 season
YTD	24	A RAW	STL	—	33	26	5	1	0	1	4	5	3	1	1	192	364	346	710	154	200	15	12	336	90	—	—	—	—	—	—
YTD	24	AA RAW	STL	—	296	256	72	5	2	8	33	49	6	25	5	281	376	410	786	129	320	17	11	356	90	—	—	—	—	—	—
ROS	24	AA MLE	STL	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		291	22	11	295	86	-0	+0	+0	-0	+0	-0.0
TOT	24	AA MLE	STL	—	338	301	73	5	2	7	27	69	9	26	6	243	323	342	666	100	292	20	8	301	90	-4	+3	+0	-2	+7	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	STL	31%	352	311	74	9	2	6	29	75	9	14	3	238	321	338	659	100	292	21	8	302	91	-4	+2	+0	-2	+8	0.3
2028	26	MLB MLE	STL	45%	395	349	84	11	2	8	33	85	10	16	3	241	324	352	676	112	292	22	8	305	93	-3	+2	+0	-2	+9	0.5
2029	27	MLB MLE	STL	49%	412	364	87	12	2	8	35	89	10	17	4	239	323	349	672	110	292	22	8	306	93	-3	+2	+0	-2	+9	0.5
2030	28	MLB MLE	STL	52%	420	371	88	12	2	8	36	91	10	16	3	237	321	345	666	108	291	22	9	306	93	-4	+2	-1	-3	+9	0.4
2031	29	MLB MLE	STL	52%	417	368	87	12	2	8	36	91	10	15	3	236	321	345	666	109	290	22	9	304	92	-4	+2	-1	-3	+9	0.3
2032	30	MLB MLE	STL	52%	412	363	85	11	2	8	36	91	10	13	3	234	320	342	662	107	289	22	9	301	90	-5	+1	-2	-2	+9	0.1
2033	31	MLB MLE	STL	51%	400	353	82	11	2	7	35	90	9	11	2	232	317	334	652	102	287	22	9	297	87	-6	+1	-3	-2	+9	-0.1
2027	25	MLB CTX	STL	31%	109	96	24	3	1	2	9	23	3	4	1	250	333	365	698	115	291	21	8	281	91	-1	+0	+0	-1	+2	0.1
2028	26	MLB CTX	STL	45%	176	155	37	5	1	3	15	38	4	7	2	239	322	342	664	103	291	22	9	284	93	-2	+1	+0	-1	+4	0.2
2029	27	MLB CTX	STL	49%	203	179	43	6	1	4	17	44	5	8	2	240	323	352	675	112	291	22	8	286	93	-2	+1	+0	-1	+4	0.2
2030	28	MLB CTX	STL	52%	217	191	45	6	1	4	19	47	5	8	2	236	321	340	661	105	290	22	9	285	93	-2	+1	-0	-1	+5	0.2
2031	29	MLB CTX	STL	52%	215	189	45	6	1	4	19	47	5	8	2	238	324	344	668	106	290	22	9	284	92	-2	+1	-1	-1	+5	0.1
2032	30	MLB CTX	STL	52%	212	187	44	6	1	4	18	47	5	7	1	235	319	342	661	107	288	22	8	281	90	-3	+1	-1	-1	+5	0.1
2033	31	MLB CTX	STL	51%	206	181	42	5	1	4	18	46	5	6	1	232	319	337	656	105	286	22	9	277	87	-3	+1	-1	-1	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1338	1178	280	37	7	25	115	292	32	48	11	238	322	345	667	107	294	22	9	283	91	-14	+5	-4	-8	+29	0.9
/ 162G	—	A+C		—	650	572	136	18	3	12	56	142	16	23	5	238	323	343	666	105	295	22	9	283	91	-7	+3	-2	-4	+14	0.4
Career	—	MLE		—	3309	2910	691	96	16	56	284	731	88	118	24	237	324	339	663	102	296	22	9	302	91	-30	+12	-7	-17	+61	2.0
/ 162G	—	MLE		—	650	572	136	19	3	11	56	144	17	23	5	238	324	339	663	101	297	22	9	302	91	-7	+3	-2	-4	+14	0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
#4Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.0	1,344	26	49	238	318	346	-8	+0	1.9	1.9
/162	664	13	24	-4.0	+0.0	1.0	pk7: 2

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
Travis Honeyman (OGILVIE)	24	50	25	45	50	232/317/321	88	291	5	16	21%	8%	86	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Daniel Robertson 2010 · A	24	53→58	39→40	48→55	50	253/316/342	89	291	6	12	15%	7%	88	+0.5	259/313/355	96	294	6	16	13%	6%	90	+0.6	264/318/355	91	299	5	18	13%	6%	88	+0.4
✕Joey Rickard 2015 · AA	24	46→56	39→45	50→55	49	218/296/303	84	281	6	16	23%	8%	73	-0.6	249/317/346	97	314	6	15	21%	8%	90	+0.6	256/322/355	99	320	6	16	20%	8%	91	+0.4
✕Julian Williams 2007 · A	24	48	36→30	49→55	48	220/306/293	73	294	3	15	24%	8%	75	-0.5	220/294/288	68	282	3	17	21%	8%	69	-0.9	218/293/263	45	274	0	23	19%	8%	60	-1.0
●Jake Elmore 2011 · AA	24	52→62	37→40	48→55	53	242/311/316	74	289	3	17	17%	8%	80	-0.1	253/323/334	81	302	4	20	16%	9%	89	+0.5	264/336/347	82	313	3	23	15%	9%	95	+0.7
✕Paco Figueroa 2007 · A	24	53→57	38→40	47→55	47	249/307/329	81	298	5	16	18%	6%	82	+0.0	252/309/330	78	307	3	16	17%	7%	82	+0.0	253/309/332	78	307	1	15	17%	7%	80	-0.1
✕Steve Sollmann 2006 · A	24	53→56	33→30	45→50	48	243/321/288	45	296	1	15	17%	6%	79	-0.2	244/327/309	65	289	3	15	15%	7%	86	+0.3	253/340/318	65	295	2	16	13%	8%	91	+0.6
✕Kyler Castillo 2022 · A	24	47	37→30	40	47	223/281/299	76	284	3	7	22%	7%	65	-1.2	235/312/304	69	320	3	5	25%	9%	79	-0.2	241/333/296	55	331	3	3	25%	10%	83	+0.1
✕Justin Maffei 2016 · A	24	50	37→40	49→50	46	231/299/305	74	305	3	11	24%	7%	74	-0.6	230/300/301	71	302	4	11	23%	8%	74	-0.6	230/305/277	47	303	2	11	22%	8%	67	-0.3
✕Jonny Tucker 2007 · A	24	51→55	38→40	48→55	50	239/299/325	86	288	4	12	18%	7%	78	-0.3	245/303/327	82	288	4	14	15%	7%	80	-0.2	250/309/330	80	290	3	18	14%	7%	80	-0.1
✕Steve Tolleson 2008 · A	24	50→53	39→45	49→50	52	236/313/328	92	304	6	14	23%	10%	84	+0.2	246/308/354	108	303	8	13	20%	8%	88	+0.5	252/311/367	115	300	10	12	18%	7%	89	+0.4
✕Ivan Jimenez 2017 · AAA	24	51	39→40	48→55	42	242/285/327	85	315	6	13	24%	6%	73	-0.6	247/308/341	94	316	6	16	22%	7%	85	+0.2	266/330/343	77	341	2	18	21%	7%	89	+0.2
✕Collin Radack 2016 · A	24	50→52	37→30	48→50	42	234/302/302	68	318	4	11	26%	6%	75	-0.5	230/293/296	66	319	4	11	27%	6%	70	-0.9	237/298/258	21	335	0	11	27%	7%	59	-0.5
✕Bridger Hunt 2008 · A	23	54→56	37→30	45→50	46	255/302/331	76	310	4	13	19%	6%	80	-0.2	236/290/300	64	291	3	8	19%	7%	69	-0.9	221/274/262	41	268	2	6	17%	6%	51	-0.8
✕Tyler Smith 2015 · AA	24	50→54	41→40	48→50	48	236/306/340	103	299	8	10	23%	8%	84	+0.2	231/289/313	82	294	6	8	22%	7%	72	-0.7	223/279/294	71	283	5	7	22%	6%	60	-1.2
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Leonardo Reginatto 2014 · A	24	57→62	36→30	46→45	46	268/314/334	66	328	2	8	19%	6%	85	+0.2	255/303/317	62	311	2	8	17%	6%	77	-0.3	251/299/307	55	306	2	7	17%	5%	70	-0.6
✕Andy Simunic 2010 · A	24	53→59	34→30	46→50	52	245/318/293	48	309	2	12	20%	9%	78	-0.3	234/295/304	70	320	5	13	26%	8%	72	-0.7	260/302/296	36	332	2	17	21%	5%	69	-0.4
✕Matt Cline 2010 · A	24	49→57	37→30	49→50	47	230/290/304	73	269	5	11	16%	6%	70	-0.8	231/304/297	66	283	2	9	18%	7%	74	-0.5	226/301/281	55	278	1	7	17%	7%	67	-0.5
✕Santiago Espinal 2019 · AA	24	50→55	39→45	49→50	45	239/283/330	90	282	6	10	18%	5%	73	-0.6	246/295/339	93	293	7	11	17%	6%	80	-0.2	270/330/365	95	307	7	9	14%	8%	96	+0.6
✕Austin Wates 2013 · AA	24	54→59	40	51→55	43	257/308/351	94	320	7	17	21%	5%	87	+0.4	248/303/330	82	310	4	25	20%	6%	80	-0.1	242/298/308	66	303	2	29	19%	6%	70	-0.4

Career Stats + Projections

Career Comps

Career Path Comps