BrunkN^ — CS2 Stats

AE76561197993069981[U:1:32804253]Steam profile ↗✓ No bans

1,645Tracked matches25%Win rate2020Tracked since

CSDB Rating4.1 DevelopingClutch Specialist

CSDB Leaderboard#184186 of 252698 tracked

Ladder ranks via Leetify

Rating over time

9,156Peak Premier in tracked matches

30Days played since 2026-05-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim53

Positioning55

Utility29

0–100 skill scores via Leetify.

Recent form

COLD41–51–8Last 10041%Win rateLWTLWLLLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.0pp headshot accuracy · −0ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 641ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 608ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 608ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim5.3

Utility2.9

Positioning5.5

Opening Duels2.6

Clutch6.0

Strong CT-side openerLimited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower 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

Areas to improve

Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.3

Positioning5.5

Utility2.9

Mechanics3.1

Opening Duels5.0

Win Impact0.0

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time596ms−70ms

first ⅓ avg 666ms → last ⅓ avg 596ms

Headshot accuracy15.7%−0.4%

first ⅓ avg 16.2% → last ⅓ avg 15.7%

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.

Personal bests

0.18Best match rating · 13–4 · dust2, 23 May →

29%Best headshot accuracy · 10–13 · nuke, 2 Oct →

438msFastest reaction time · 7–13 · inferno, 24 Sept →

13–2Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

1–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 45% over 20mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	31	13–18	42%	0.01
dust2	C	23	9–14	39%	0.00
cache	B	20	9–11	45%	0.01
vertigo	C	10	4–6	40%	0.01
mirage	D	5	1–4	20%	-0.01
nuke	C	5	2–3	40%	0.00
ancient	—	4	1–3	25%	0.00
anubis	—	2	2–0	100%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

75%Win rate

1.10Avg K/D

68.0ADR

24%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	1	0%	0.68	15.0
Ancient	1	100%	1.10	11.0
Anubis	1	0%	0.50	8.0

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.

15.5%Headshot accuracy

35.8%Accuracy (enemy spotted)

36.5%Spray accuracy

64.1%Counter-strafing

10.7°Preaim

587msReaction time

47.3%T opening success

52.9%CT opening success

0.47Enemies flashed / flash

4.4%Flash assists

4.95HE damage / grenade

1.62Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4676 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.05	15%	16 Oct →
dust2	13–3	0.08	15%	16 Oct →
inferno	12–12	-0.03	16%	16 Oct →
dust2	9–13	-0.06	19%	10 Oct →
vertigo	13–5	0.04	16%	10 Oct →
ancient	10–13	-0.01	16%	10 Oct →
ancient	6–13	-0.06	16%	9 Oct →
dust2	2–13	-0.06	23%	9 Oct →
inferno	13–10	0.02	14%	9 Oct →
vertigo	9–13	0.04	19%	9 Oct →
nuke	5–13	-0.08	14%	8 Oct →
anubis	13–8	0.01	16%	8 Oct →
inferno	13–2	0.03	19%	8 Oct →
nuke	11–13	-0.02	12%	3 Oct →
mirage	7–13	-0.06	12%	3 Oct →
cache	4–13	0.03	11%	2 Oct →
nuke	10–13	0.00	29%	2 Oct →
mirage	2–9	0.05	10%	2 Oct →
anubis	13–8	0.01	10%	2 Oct →
dust2	13–7	-0.04	18%	2 Oct →
dust2	9–13	-0.04	11%	1 Oct →
ancient	10–13	0.09	16%	1 Oct →
inferno	7–13	-0.01	15%	1 Oct →
inferno	10–13	0.03	12%	25 Sept →
inferno	4–13	-0.03	20%	24 Sept →
inferno	7–13	-0.07	19%	24 Sept →
dust2	12–12	-0.01	13%	24 Sept →
inferno	11–13	0.01	10%	24 Sept →
dust2	8–13	-0.02	11%	24 Sept →
cache	11–13	-0.00	19%	24 Sept →
cache	9–13	-0.03	23%	4 Sept →
ancient	13–11	-0.00	19%	4 Sept →
cache	13–6	0.01	12%	21 Aug →
mirage	13–4	0.10	16%	21 Aug →
inferno	11–13	-0.06	15%	25 Jul →
cache	6–13	0.02	16%	25 Jul →
vertigo	10–13	-0.10	10%	24 Jul →
inferno	13–10	0.05	15%	24 Jul →
cache	13–9	0.02	17%	24 Jul →
cache	11–13	0.07	15%	18 Jul →
dust2	9–13	0.02	17%	18 Jul →
mirage	3–13	-0.10	16%	17 Jul →
vertigo	13–8	0.00	18%	17 Jul →
inferno	13–8	-0.00	20%	17 Jul →
dust2	13–8	-0.04	16%	17 Jul →
inferno	3–13	-0.03	14%	13 Jul →
dust2	13–4	0.05	8%	13 Jul →
inferno	13–8	0.03	20%	13 Jul →
dust2	13–8	-0.03	16%	3 Jul →
inferno	8–13	-0.01	17%	3 Jul →
inferno	9–13	0.03	7%	26 May →
inferno	2–13	-0.09	13%	24 May →
vertigo	3–13	-0.14	16%	24 May →
inferno	13–9	-0.01	28%	24 May →
dust2	13–6	0.01	22%	24 May →
cache	5–13	0.03	16%	24 May →
inferno	13–7	0.07	17%	24 May →
inferno	4–13	0.03	11%	23 May →
dust2	13–4	0.18	15%	23 May →
cache	13–8	0.03	15%	23 May →
dust2	13–9	0.02	27%	23 May →
inferno	3–13	-0.05	22%	21 May →
cache	13–4	0.06	11%	21 May →
dust2	2–13	-0.01	17%	19 May →
vertigo	7–13	-0.01	12%	19 May →
cache	13–4	0.03	28%	19 May →
inferno	13–7	-0.03	11%	19 May →
cache	9–13	0.03	18%	18 May →
inferno	4–13	-0.00	11%	18 May →
vertigo	8–13	0.08	14%	17 May →
inferno	13–2	0.05	20%	17 May →
dust2	12–12	-0.01	14%	17 May →
cache	12–3	-0.03	17%	17 May →
inferno	6–13	-0.01	16%	17 May →
cache	6–13	-0.06	16%	16 May →
inferno	10–13	0.00	23%	16 May →
vertigo	3–13	-0.02	19%	15 May →
dust2	3–13	-0.06	7%	15 May →
cache	13–10	-0.05	12%	15 May →
inferno	13–3	0.04	17%	15 May →
vertigo	13–5	0.11	25%	15 May →
dust2	6–13	0.01	17%	15 May →
cache	13–5	0.08	14%	15 May →
dust2	0–13	-0.04	14%	15 May →
cache	13–3	0.02	7%	15 May →
inferno	13–9	0.04	10%	12 May →
nuke	13–3	0.08	23%	12 May →
vertigo	13–7	0.11	10%	12 May →
dust2	12–12	0.01	19%	12 May →
cache	12–12	-0.05	9%	12 May →
inferno	13–7	0.05	16%	12 May →
nuke	13–10	0.01	24%	11 May →
cache	12–12	-0.01	18%	11 May →
inferno	12–12	0.06	18%	11 May →
dust2	13–4	0.14	21%	11 May →
inferno	13–9	0.03	28%	9 May →
dust2	7–13	-0.00	14%	9 May →
cache	12–12	0.04	14%	9 May →
dust2	8–13	0.02	15%	8 May →
inferno	14–16	0.03	15%	8 May →