Daniel Bard — OGILVIE

Daniel Bard P Tacoma Rainiers

Age 41 RHP 6'4" / 215 lbs AAA

2026 ROS PROJECTION0 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 129121vR 113

ERA4.53

FIP4.58

K%24.4%

BB%12.4%

K-BB%12.0%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL2525

CMD4545

K†6060

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p2421.7%

p3720.3%

xwOBA vs

p100.372

FB+0.6

SL-6.9

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2016	31	A+ MLE	Palm Beach Cardinals	8	0	3	28	1	13	0	0%	0.4	3.6%	46.4%	-42.9%	0.0%	24.00	8.68	—
2016	31	A+ RAW	Palm Beach Cardinals	8	0	3	28	1	13	0	0%	0.4	3.6%	46.4%	-42.9%	0.0%	24.00	15.43	—
2017	32	MIX MLE	2 levels	11	0	9	57	7	24	0	0%	0.8	12.3%	42.1%	-29.8%	0.0%	13.50	7.40	—
2017	32	MIX RAW	2 levels	11	0	9	57	7	24	0	0%	0.8	12.3%	42.1%	-29.8%	0.0%	13.50	9.31	—
2020	35	MLB MLE	Colorado Rockies	23	0	25	106	27	8	2	0%	1.1	25.5%	7.5%	17.9%	1.7%	3.65	2.82	+0.5
2020	35	MLB RAW	Colorado Rockies	23	0	25	106	27	8	2	0%	1.1	25.5%	7.5%	17.9%	1.9%	3.65	2.94	+0.5
2021	36	MLB MLE	Colorado Rockies	67	0	66	304	80	35	8	0%	1.0	26.3%	11.5%	14.8%	2.3%	5.21	3.62	+0.7
2021	36	MLB RAW	Colorado Rockies	67	0	66	304	80	35	8	0%	1.0	26.3%	11.5%	14.8%	2.6%	5.21	3.85	+0.5
2022	37	MLB MLE	Colorado Rockies	57	0	60	245	69	24	3	0%	1.1	28.2%	9.8%	18.4%	1.1%	1.79	2.56	+1.4
2022	37	MLB RAW	Colorado Rockies	57	0	60	245	69	24	3	0%	1.1	28.2%	9.8%	18.4%	1.2%	1.79	2.65	+1.4
2023	38	MIX MLE	2 levels	51	0	50	236	50	46	5	0%	1.0	20.3%	19.8%	0.4%	1.9%	4.47	4.95	-0.2
2023	38	MIX MLE	2 levels	51	0	50	236	50	46	5	0%	1.0	20.3%	19.8%	0.4%	1.9%	4.47	4.95	-0.2
2023	38	MIX RAW	2 levels	51	0	50	236	50	46	5	0%	1.0	21.2%	19.5%	1.7%	2.1%	4.47	5.15	-0.4
2025	40	MIX MLE	2 levels	7	1	7	29	9	1	0	14%	1.0	31.0%	3.4%	27.6%	0.0%	5.40	0.92	—
2025	40	MIX MLE	2 levels	7	1	7	29	9	1	0	14%	1.0	31.0%	3.4%	27.6%	0.0%	5.40	0.92	—
2025	40	MIX RAW	2 levels	7	1	7	29	9	1	0	14%	1.0	31.0%	3.4%	27.6%	0.0%	5.40	0.85	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			197	0	200	887	223	113	18	0%	1.0	25.1%	12.7%	12.4%	2.0%	3.82	3.73	+1.9
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	41	MLB	SEA	4	0	4	17	4	2	0	0%	1.0	24.4%	12.4%	12.0%	2.9%	4.53	4.58	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	42	MLB MLE	SEA	40	0	42	179	42	23	6	0%	1.1	23.2%	13.1%	10.1%	3.3%	4.82	5.01	-0.2
2027	42	MLB CTX	SEA	—	—	0	—	—	—	—	—	—	23.2%	13.1%	10.1%	3.3%	4.82	5.01	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		197	0	200	887	223	113	18	0%	1.0	25.1%	12.7%	12.4%	2.0%	3.82	3.70	+2.0
/ 200 IP	—	RAW		197	0	200	887	223	113	18	0%	1.0	25.1%	12.7%	12.4%	2.0%	3.82	3.70	+2.0
Career	—	MLE		224	1	220	1005	241	152	16	0%	1.0	24.0%	15.1%	8.9%	1.6%	4.54	3.87	+1.7
/ 200 IP	—	MLE		204	1	200	914	219	138	15	0%	1.0	24.0%	15.1%	8.9%	1.6%	4.54	3.87	+1.4

	Profile at Match Age	Next 3 Yrs	Career
Daniel Bard (OGILVIE)	—	—	4.58	24.4%	12.4%	2.9%	—	5.01	23.2%	10.1%	42	+0.43	—	—	—
Joaquín Benoit R 2017 · 4.48 FIP	40	SU	4.48	21.6%	9.9%	3.5%	.259	—	—	—	—	—	3.58	164	79
Fernando Rodney R 2018 · 3.89 FIP	41	SU	3.89	24.6%	10.9%	2.7%	.311	4.07	23.3%	10.4%	48	+0.18	2.69	295	77
Rafael Diaz R 2015 · 4.07 FIP	44	SW	4.07	17.3%	10.5%	2.0%	.301	3.17	16.2%	9.4%	152	-0.90	3.04	215	65
Jason Grilli R 2017 · 5.58 FIP	40	SU	5.58	26.1%	9.8%	6.3%	.321	—	—	—	—	—	2.05	133	62
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	58
Jose Valverde R 2019 · 5.47 FIP	41	SU	5.47	14.9%	6.1%	5.2%	.309	—	—	—	—	—	2.21	122	56
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	26
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	19
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	19

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.5	46	23.8%	12.7%	1.20	4.66
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Michael Kopech ('24)	1.9	96	26.1%	12.5%	1.45	4.15

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Daniel Bard (OGILVIE)	—	—	4.58	24.4%	12.4%	2.9%	—	5.01	23.2%	10.1%	42	+0.43	—	—	—
Joaquín Benoit R 2017 · 4.48 FIP	40	SU	4.48	21.6%	9.9%	3.5%	.259	—	—	—	—	—	3.58	164	79
Fernando Rodney R 2018 · 3.89 FIP	41	SU	3.89	24.6%	10.9%	2.7%	.311	4.07	23.3%	10.4%	48	+0.18	2.69	295	77
Rafael Diaz R 2015 · 4.07 FIP	44	SW	4.07	17.3%	10.5%	2.0%	.301	3.17	16.2%	9.4%	152	-0.90	3.04	215	65
Jason Grilli R 2017 · 5.58 FIP	40	SU	5.58	26.1%	9.8%	6.3%	.321	—	—	—	—	—	2.05	133	62
Luis Ayala R 2017 · 4.00 FIP	39	SU	4.00	15.9%	11.7%	1.4%	.340	—	—	—	—	—	3.03	119	58
Jose Valverde R 2019 · 5.47 FIP	41	SU	5.47	14.9%	6.1%	5.2%	.309	—	—	—	—	—	2.21	122	56
Ryan Vogelsong R 2016 · 4.79 FIP	39	SP-	4.79	16.7%	10.4%	3.2%	.270	—	—	—	—	—	4.45	217	26
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	19
Horacio Ramirez L 2019 · 4.65 FIP	39	SU	4.65	5.7%	6.0%	2.3%	.233	—	—	—	—	—	3.39	199	19

Contract

Career Stats + Projections

Career Path Comps

Career Comps