Firewurk — CS2 Stats

US76561197967978855[U:1:7713127]Steam profile ↗✓ No bans

2,184Tracked matches57%Win rate2020Tracked since

CSDB Rating4.8 DevelopingSupport

Premier CS Rating19,809Purple band · top ~9.3% of ranked players (population est.)

CSDB Leaderboard#12810 of 29989 tracked

FaceitLevel 8 · 1,379 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim39

Positioning47

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWWWLLWLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim3.9

Aggression4.9

Utility7.7

Positioning4.7

Opening Duels1.5

Clutch3.0

High 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 82% playstyle similarity

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

Where you differ: 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 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 623ms 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

Aim3.9

Positioning4.7

Utility7.7

Mechanics4.7

Opening Duels1.5

Win Impact7.2

Composite 4.8/10 (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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time607ms−52ms

first ⅓ avg 659ms → last ⅓ avg 607ms

Headshot accuracy17.8%+0.2%

first ⅓ avg 17.6% → last ⅓ avg 17.8%

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

0.15Best rating — cache 13–8

13–0Biggest win — inferno

5Longest win streak

5–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

dust2Best map · 61% over 28anubisWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	28	17–11	61%	0.01
inferno	A	22	12–10	55%	-0.01
nuke	C	16	7–9	44%	-0.01
anubis	C	13	5–8	38%	-0.01
cache	A	11	6–5	55%	-0.00
mirage	C	7	3–4	43%	-0.00
ancient	—	2	1–1	50%	-0.06
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches

53%Win rate

0.93Avg K/D

85.4ADR

41%Headshot %

Clutches & streaks

35%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	55%	0.91	15.8
Mirage	10	80%	0.93	15.0
Inferno	7	29%	0.96	15.0
Nuke	5	60%	1.10	18.8
Anubis	5	60%	1.04	14.0
Ancient	3	0%	0.59	9.7

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.

18.4%Headshot accuracy

26.8%Accuracy (enemy spotted)

26.9%Spray accuracy

71.2%Counter-strafing

10.1°Preaim

623msReaction time

31.2%T opening success

40.9%CT opening success

0.68Enemies flashed / flash

6.4%Flash assists

11.56HE damage / grenade

15.80Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 31.1868% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.07	10%	26 Aug →
anubis	13–11	0.06	18%	26 Aug →
dust2	13–6	-0.00	24%	26 Aug →
cache	13–3	-0.02	20%	26 Aug →
inferno	16–12	0.00	19%	26 Aug →
mirage	5–13	-0.04	17%	26 Aug →
nuke	10–13	0.04	27%	26 Aug →
cache	13–8	0.06	19%	26 Aug →
cache	11–13	-0.09	11%	25 Aug →
inferno	8–13	-0.04	24%	12 Aug →
nuke	13–3	0.04	23%	12 Aug →
dust2	5–0	0.11	13%	12 Aug →
dust2	13–8	-0.01	24%	12 Aug →
nuke	6–13	-0.04	19%	12 Aug →
inferno	13–10	0.02	21%	5 Aug →
dust2	9–13	-0.01	21%	5 Aug →
inferno	13–10	-0.00	24%	5 Aug →
mirage	16–12	0.03	18%	5 Aug →
nuke	13–5	0.08	19%	5 Aug →
anubis	13–9	-0.02	11%	3 Aug →
inferno	13–6	0.01	19%	3 Aug →
inferno	6–13	-0.05	12%	29 Jul →
nuke	13–7	-0.00	30%	29 Jul →
inferno	4–13	-0.03	22%	29 Jul →
anubis	8–13	-0.06	12%	29 Jul →
mirage	13–11	0.05	23%	29 Jul →
dust2	9–13	-0.03	20%	28 Jul →
anubis	11–13	-0.03	13%	28 Jul →
ancient	13–7	-0.10	4%	27 Jul →
nuke	11–13	-0.07	14%	27 Jul →
mirage	3–5	0.00	0%	25 Jul →
mirage	5–13	-0.08	13%	25 Jul →
dust2	10–13	-0.06	24%	25 Jul →
inferno	13–9	0.12	15%	25 Jul →
dust2	13–6	0.01	30%	25 Jul →
cache	13–3	0.06	14%	25 Jul →
ancient	8–13	-0.03	10%	25 Jul →
nuke	5–13	-0.05	24%	25 Jul →
dust2	12–16	-0.04	25%	22 Jul →
inferno	13–0	0.07	17%	22 Jul →
dust2	13–5	0.09	23%	22 Jul →
anubis	6–13	-0.03	17%	22 Jul →
nuke	13–3	-0.00	19%	22 Jul →
anubis	13–8	0.04	22%	15 Jul →
dust2	13–10	0.06	27%	15 Jul →
cache	11–13	-0.00	11%	15 Jul →
inferno	13–10	-0.02	16%	15 Jul →
cache	2–13	-0.05	25%	13 Jul →
cache	13–4	0.06	27%	13 Jul →
anubis	0–2	0.00	0%	13 Jul →
cache	2–13	-0.06	29%	12 Jul →
inferno	13–3	0.13	22%	12 Jul →
cache	13–8	0.15	17%	12 Jul →
dust2	16–13	0.01	20%	12 Jul →
anubis	16–14	0.06	11%	12 Jul →
inferno	13–16	0.04	21%	12 Jul →
nuke	10–13	-0.10	35%	8 Jul →
dust2	13–10	-0.02	13%	8 Jul →
inferno	3–13	-0.08	13%	8 Jul →
cache	6–13	-0.09	17%	8 Jul →
dust2	13–10	0.03	30%	7 Jul →
inferno	12–12	-0.05	27%	7 Jul →
cache	13–5	-0.03	10%	7 Jul →
dust2	13–6	-0.01	9%	1 Jul →
nuke	13–8	0.01	13%	1 Jul →
anubis	13–10	-0.00	14%	1 Jul →
dust2	15–15	-0.05	21%	1 Jul →
dust2	10–13	0.04	24%	1 Jul →
inferno	13–10	-0.03	15%	30 Jun →
dust2	13–5	0.06	32%	24 Jun →
anubis	9–13	-0.04	21%	24 Jun →
nuke	13–2	0.07	17%	24 Jun →
dust2	13–9	0.07	26%	24 Jun →
dust2	10–13	0.02	14%	23 Jun →
inferno	10–13	-0.06	16%	23 Jun →
dust2	11–13	-0.04	7%	17 Jun →
mirage	6–13	0.06	12%	17 Jun →
dust2	13–11	-0.01	15%	16 Jun →
nuke	13–10	0.02	14%	16 Jun →
dust2	13–8	0.05	23%	16 Jun →
nuke	6–13	-0.04	12%	16 Jun →
mirage	16–12	-0.06	18%	15 Jun →
nuke	6–13	-0.10	24%	15 Jun →
inferno	11–13	-0.06	8%	15 Jun →
inferno	7–13	0.01	18%	15 Jun →
dust2	14–16	-0.02	17%	15 Jun →
inferno	10–13	-0.05	17%	15 Jun →
dust2	8–13	0.00	21%	15 Jun →
inferno	13–8	0.01	11%	14 Jun →
dust2	13–11	0.02	13%	14 Jun →
inferno	13–6	-0.06	25%	14 Jun →
dust2	13–4	0.01	21%	10 Jun →
dust2	13–3	0.13	18%	10 Jun →
anubis	2–13	-0.05	19%	10 Jun →
inferno	13–10	-0.01	14%	10 Jun →
overpass	6–13	-0.05	11%	3 Jun →
anubis	9–13	-0.04	18%	3 Jun →
nuke	10–13	-0.02	15%	3 Jun →
nuke	15–15	0.07	23%	3 Jun →
anubis	15–15	0.01	19%	3 Jun →