Flurl — CS2 Stats

AT76561198112100270[U:1:151834542]Steam profile ↗✓ No bans

2,293Tracked matches70%Win rate2020Tracked since

CSDB Rating7.0 StrongPositional Player

Premier CS Rating21,638Top 50% of 192,959 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

CSDB Leaderboard#56647 of 238866 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,638 → 21,638

+17Tracked matches · now 2,293

+3.3ppWin rate · 66.7% → 70.0%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 4 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,638 -4,665 4 Jul – 15 Sept · 16 days played

27,281Peak Premier in tracked matches

33Days played since 2026-07-04

Premier CS Rating

5,404 below peak (27,042)
0 over 30 days · steady
Next: Red band at 25,000 — 3,362 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-01
Purple band first seen 2026-09-01

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

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Performance scores

Aim79

Positioning66

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWWWWWWLWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +0.9pp headshot accuracy · +66ms 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

5–0 · 100% win rate
Avg rating 0.08
Avg headshot accuracy 31%
Avg reaction 639ms

Last 10

7–3 · 70% win rate
Avg rating 0.05
Avg headshot accuracy 31%
Avg reaction 711ms

Last 20

15–5 · 75% win rate
Avg rating 0.04
Avg headshot accuracy 30%
Avg reaction 678ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.9

Utility5.1

Positioning6.6

Opening Duels5.0

Clutch4.0

Limited 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 ZywOo 89% 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. 658ms 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

Aim7.9

Positioning6.6

Utility5.1

Mechanics6.7

Opening Duels4.2

Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time654ms−56ms

first ⅓ avg 710ms → last ⅓ avg 654ms

Headshot accuracy30.1%−0.5%

first ⅓ avg 30.6% → last ⅓ avg 30.1%

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 · 13–3 · ancient, 13 Sept →

50%Best headshot accuracy · 13–1 · inferno, 12 Aug →

391msFastest reaction time · 13–1 · inferno, 12 Aug →

13–1Biggest win · inferno, 12 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W6Current streak

8–5In matches decided by ≤2 rounds

15Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	30	21–9	70%	0.03
dust2	B	27	13–14	48%	0.02
cache	S	17	11–6	65%	0.02
mirage	C	13	5–8	38%	0.01
anubis	S	7	5–2	71%	0.02
nuke	—	4	1–3	25%	-0.01
ancient	—	2	2–0	100%	0.09

Across the last 100 tracked matches.

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

Faceit stats

Combat

2,493Matches

51%Win rate

1.12Avg K/D

80.6ADR

54%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

24Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	69	68%	1.28	17.4
Mirage	66	44%	1.02	15.1
Dust2	46	52%	1.01	15.6
Anubis	42	38%	0.92	15.1
Ancient	13	54%	1.30	16.9
Cache	9	67%	0.97	14.0
Nuke	6	50%	0.96	12.7
Vertigo	6	50%	0.96	19.7

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.

29.3%Headshot accuracy

36.9%Accuracy (enemy spotted)

37.2%Spray accuracy

80.2%Counter-strafing

10.0°Preaim

658msReaction time

50.4%T opening success

43.2%CT opening success

0.62Enemies flashed / flash

7.3%Flash assists

10.12HE damage / grenade

4.13Flashes / match

Recommended for you

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.

38% win rate across 13 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
inferno	13–9	0.01	30%	18 Sept →
anubis	16–12	0.03	33%	18 Sept →
anubis	13–3	0.08	23%	13 Sept →
dust2	13–7	0.08	39%	13 Sept →
ancient	13–3	0.18	33%	13 Sept →
dust2	13–11	0.07	29%	13 Sept →
mirage	11–13	0.05	24%	12 Sept →
inferno	13–4	0.05	41%	11 Sept →
cache	7–13	-0.05	26%	6 Sept →
dust2	10–13	-0.01	29%	6 Sept →
mirage	4–13	0.00	29%	3 Sept →
mirage	13–5	0.07	27%	3 Sept →
inferno	13–10	-0.04	33%	2 Sept →
inferno	13–10	0.08	26%	27 Aug →
inferno	19–17	0.04	21%	23 Aug →
inferno	16–19	-0.02	31%	22 Aug →
anubis	13–3	-0.02	30%	22 Aug →
cache	13–7	0.07	40%	20 Aug →
dust2	13–7	0.04	32%	16 Aug →
inferno	13–7	0.06	27%	16 Aug →
ancient	16–12	0.01	43%	16 Aug →
mirage	11–13	-0.02	22%	16 Aug →
inferno	13–7	0.10	43%	16 Aug →
mirage	13–4	0.05	29%	15 Aug →
inferno	13–4	0.02	29%	15 Aug →
cache	13–8	0.03	26%	15 Aug →
dust2	13–7	0.05	29%	15 Aug →
dust2	4–13	-0.06	17%	14 Aug →
dust2	10–13	-0.07	19%	14 Aug →
dust2	9–13	0.02	22%	12 Aug →
cache	6–13	-0.03	42%	12 Aug →
inferno	13–1	0.04	50%	12 Aug →
cache	13–7	0.11	17%	11 Aug →
inferno	7–13	0.04	46%	11 Aug →
inferno	15–15	0.03	36%	11 Aug →
inferno	13–9	0.00	27%	11 Aug →
cache	3–13	-0.06	20%	11 Aug →
inferno	13–8	-0.05	23%	10 Aug →
inferno	6–13	0.02	27%	10 Aug →
mirage	13–7	0.07	42%	9 Aug →
mirage	13–3	0.02	32%	9 Aug →
dust2	10–13	-0.07	34%	9 Aug →
cache	13–6	0.01	36%	9 Aug →
inferno	13–6	0.06	30%	9 Aug →
dust2	13–9	0.02	18%	9 Aug →
cache	13–5	0.05	29%	9 Aug →
nuke	12–16	-0.06	24%	2 Aug →
dust2	13–9	0.08	21%	2 Aug →
cache	6–13	0.01	48%	2 Aug →
inferno	16–13	0.02	39%	31 Jul →
inferno	13–16	0.06	31%	29 Jul →
dust2	13–11	0.03	20%	29 Jul →
inferno	8–13	-0.04	40%	27 Jul →
anubis	13–2	0.01	30%	27 Jul →
dust2	13–11	0.04	27%	27 Jul →
cache	13–4	0.05	26%	27 Jul →
inferno	13–8	0.07	43%	26 Jul →
anubis	7–13	0.02	28%	26 Jul →
dust2	13–9	0.02	26%	26 Jul →
dust2	15–15	0.02	37%	26 Jul →
cache	13–4	-0.01	27%	26 Jul →
cache	13–6	0.04	15%	26 Jul →
inferno	13–7	0.02	29%	26 Jul →
mirage	2–9	-0.03	21%	26 Jul →
mirage	13–16	-0.03	28%	26 Jul →
dust2	13–6	0.03	28%	26 Jul →
dust2	11–13	0.06	16%	25 Jul →
inferno	13–9	0.05	33%	25 Jul →
cache	13–8	0.03	24%	25 Jul →
inferno	11–13	0.10	32%	25 Jul →
dust2	8–13	-0.02	32%	25 Jul →
dust2	9–13	-0.04	36%	25 Jul →
cache	8–13	-0.02	26%	19 Jul →
inferno	13–6	0.12	36%	19 Jul →
nuke	7–13	0.02	20%	19 Jul →
cache	8–13	-0.06	29%	18 Jul →
mirage	2–13	-0.09	8%	18 Jul →
nuke	15–15	-0.02	21%	18 Jul →
dust2	9–13	-0.06	34%	18 Jul →
dust2	13–9	0.01	31%	18 Jul →
inferno	13–1	0.00	34%	17 Jul →
dust2	6–13	-0.02	28%	17 Jul →
inferno	9–13	-0.01	35%	12 Jul →
dust2	8–13	-0.00	24%	12 Jul →
nuke	13–11	0.02	44%	12 Jul →
dust2	10–13	0.01	38%	12 Jul →
cache	13–4	0.17	34%	12 Jul →
mirage	10–13	0.02	35%	10 Jul →
anubis	14–16	0.01	27%	10 Jul →
dust2	13–4	0.07	26%	10 Jul →
mirage	15–15	0.00	27%	9 Jul →
cache	13–8	-0.01	38%	9 Jul →
dust2	1–13	0.08	20%	6 Jul →
dust2	13–8	0.03	38%	6 Jul →
anubis	16–12	0.05	27%	5 Jul →
inferno	13–11	0.01	23%	5 Jul →
mirage	16–14	0.04	33%	5 Jul →
inferno	4–13	-0.01	32%	5 Jul →
inferno	13–2	0.12	40%	5 Jul →
inferno	13–11	-0.01	43%	4 Jul →