buttermoe — CS2 Stats

76561198119525028[U:1:159259300]Steam profile ↗✓ No bans

993Tracked matches45%Win rate2020Tracked since

CSDB Rating4.9 DevelopingSupport

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim52

Positioning58

Utility83

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWLLWLLLWW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim5.2

Aggression5.0

Utility8.3

Positioning5.8

Opening Duels1.8

Clutch4.4

Strong CT-side openerHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 86% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: higher utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Utility. Utility score of 83 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.2

Positioning5.8

Utility8.3

Mechanics6.1

Opening Duels2.0

Win Impact3.3

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time560ms−28ms

first ⅓ avg 588ms → last ⅓ avg 560ms

Headshot accuracy16.6%+2.4%

first ⅓ avg 14.2% → last ⅓ avg 16.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.17Best rating — stronghold 13–3

13–2Biggest win — anubis

6Longest win streak

3–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 59% over 22dust2Weakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	30	14–16	47%	-0.01
anubis	A	22	13–9	59%	-0.02
nuke	B	12	6–6	50%	-0.02
ancient	A	9	5–4	56%	0.01
overpass	A	7	4–3	57%	-0.03
dust2	C	5	2–3	40%	-0.01
office	—	3	0–3	0%	-0.02
cache	—	3	2–1	67%	0.05
stronghold	—	3	2–1	67%	0.08
mirage	—	2	0–2	0%	0.02
vertigo	—	2	1–1	50%	0.11
sanctum	—	1	1–0	100%	0.11
poseidon	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

510Matches

49%Win rate

1.07Avg K/D

71.2ADR

39%Headshot %

Clutches & streaks

42%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	100	46%	1.02	13.7
Ancient	79	46%	1.02	13.3
Inferno	66	59%	1.04	13.7
Dust2	61	52%	1.20	15.3
Mirage	61	33%	0.98	12.9
Overpass	39	54%	1.08	13.5
Vertigo	36	56%	1.18	14.5
Nuke	34	44%	1.24	16.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.1%Headshot accuracy

30.7%Accuracy (enemy spotted)

35.3%Spray accuracy

77.4%Counter-strafing

12.5°Preaim

565msReaction time

28.8%T opening success

45.6%CT opening success

0.65Enemies flashed / flash

14.4%Flash assists

15.13HE damage / grenade

23.88Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.5086° — above the 12° mark we flag
Aim Training →

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–16	0.01	15%	25 Aug →
ancient	13–7	0.05	17%	25 Aug →
office	7–13	0.01	22%	23 Aug →
nuke	8–13	-0.03	7%	23 Aug →
inferno	13–9	0.07	15%	22 Aug →
inferno	14–16	-0.02	14%	20 Aug →
inferno	11–13	0.03	19%	18 Aug →
anubis	7–13	-0.02	10%	18 Aug →
anubis	13–7	0.08	11%	12 Aug →
inferno	22–19	-0.02	18%	9 Aug →
inferno	12–16	-0.02	19%	6 Aug →
ancient	13–10	0.03	17%	1 Aug →
dust2	13–11	-0.03	16%	1 Aug →
anubis	6–13	-0.05	26%	30 Jul →
anubis	13–9	-0.01	14%	23 Jul →
dust2	16–12	0.04	15%	22 Jul →
ancient	11–13	-0.03	15%	21 Jul →
inferno	6–13	-0.05	19%	18 Jul →
anubis	13–2	0.02	17%	18 Jul →
ancient	13–7	0.09	14%	18 Jul →
cache	13–8	-0.03	15%	18 Jul →
cache	13–6	0.07	11%	12 Jul →
cache	10–13	0.12	24%	12 Jul →
inferno	11–13	-0.05	15%	11 Jul →
inferno	6–13	-0.02	23%	11 Jul →
anubis	4–13	-0.05	16%	23 Jun →
inferno	13–9	0.02	16%	22 Jun →
dust2	10–13	-0.05	23%	21 Jun →
nuke	7–13	-0.01	5%	20 Jun →
inferno	12–12	0.00	14%	20 Jun →
anubis	19–16	0.01	16%	20 Jun →
inferno	13–8	-0.04	11%	16 Jun →
inferno	5–0	0.03	42%	16 Jun →
inferno	13–3	-0.04	22%	13 Jun →
dust2	1–13	0.02	15%	12 Jun →
inferno	11–2	0.02	21%	10 Jun →
inferno	13–4	0.02	32%	10 Jun →
anubis	13–10	-0.01	15%	10 Jun →
inferno	13–9	0.04	16%	9 Jun →
nuke	13–9	-0.04	29%	30 May →
overpass	4–13	-0.01	11%	25 May →
nuke	5–13	-0.05	19%	23 May →
ancient	13–3	-0.01	18%	23 May →
mirage	5–13	-0.04	17%	21 May →
nuke	0–6	-0.05	0%	17 May →
inferno	13–7	0.05	20%	17 May →
nuke	8–13	-0.00	26%	14 May →
overpass	13–9	-0.01	15%	9 May →
inferno	13–4	0.04	13%	30 Apr →
inferno	13–2	0.04	26%	28 Apr →
inferno	15–19	-0.05	18%	23 Apr →
inferno	8–13	0.00	16%	21 Apr →
inferno	5–13	-0.03	11%	21 Apr →
anubis	6–13	-0.08	23%	16 Apr →
nuke	13–4	-0.03	16%	9 Apr →
ancient	13–8	0.07	14%	9 Apr →
inferno	4–13	-0.07	21%	7 Apr →
anubis	13–11	0.02	16%	4 Apr →
anubis	13–6	-0.02	18%	31 Mar →
ancient	11–13	-0.07	16%	31 Mar →
stronghold	13–7	0.04	14%	29 Mar →
inferno	13–11	-0.07	11%	28 Mar →
anubis	13–3	0.02	4%	28 Mar →
overpass	5–13	-0.10	7%	28 Mar →
anubis	13–10	-0.03	10%	28 Mar →
nuke	9–13	-0.06	15%	26 Mar →
inferno	13–9	0.01	10%	25 Mar →
inferno	9–13	-0.06	14%	25 Mar →
inferno	11–13	-0.03	11%	24 Mar →
overpass	13–6	0.04	13%	21 Mar →
ancient	4–13	-0.04	11%	21 Mar →
overpass	10–3	-0.06	25%	21 Mar →
inferno	13–8	0.04	22%	20 Mar →
overpass	8–13	-0.06	24%	19 Mar →
office	4–13	-0.05	0%	16 Mar →
vertigo	13–10	0.06	17%	16 Mar →
stronghold	13–3	0.17	28%	16 Mar →
stronghold	12–12	0.04	11%	16 Mar →
office	4–13	-0.02	33%	16 Mar →
anubis	13–4	-0.03	23%	14 Mar →
anubis	2–13	-0.09	13%	14 Mar →
vertigo	10–13	0.16	9%	13 Mar →
anubis	13–10	-0.05	6%	11 Mar →
anubis	10–13	-0.05	13%	11 Mar →
anubis	12–12	-0.09	9%	10 Mar →
anubis	12–12	-0.03	11%	10 Mar →
sanctum	9–6	0.11	15%	9 Mar →
poseidon	6–9	-0.04	7%	9 Mar →
inferno	9–13	0.01	19%	8 Mar →
inferno	7–13	-0.03	17%	7 Mar →
overpass	13–8	-0.02	17%	7 Mar →
nuke	13–4	0.06	19%	7 Mar →
anubis	13–7	0.02	8%	7 Mar →
nuke	13–9	0.00	16%	6 Mar →
anubis	13–8	0.04	17%	5 Mar →
nuke	13–5	-0.07	8%	5 Mar →
anubis	14–16	-0.03	8%	5 Mar →
nuke	13–4	0.02	15%	3 Mar →
mirage	10–13	0.09	14%	2 Mar →
dust2	8–13	-0.04	0%	2 Mar →