Flix — CS2 Stats

76561198292575323[U:1:332309595]Steam profile ↗✓ No bans

767Tracked matches47%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating23,673Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

CSDB Leaderboard#5252 of 25011 tracked

FaceitLevel 9 · 1,962 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning67

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWLWWLLLWWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8

Aggression9.7

Utility6.6

Positioning6.7

Opening Duels4.3

Clutch4.4

Sharp aimerStrong CT-side opener

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 device 97% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 558ms 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

Aim8.8

Positioning6.7

Utility6.6

Mechanics8.0

Opening Duels4.3

Win Impact3.9

Composite 7.1/10 (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 rating0.01−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time568ms−48ms

first ⅓ avg 616ms → last ⅓ avg 568ms

Headshot accuracy20.5%+1.7%

first ⅓ avg 18.8% → last ⅓ avg 20.5%

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

0.19Best rating — cache 3–0

13–2Biggest win — mirage

5Longest win streak

13–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	30	19–11	63%	0.02
ancient	B	18	9–9	50%	-0.01
dust2	D	16	5–11	31%	0.00
cache	B	12	6–6	50%	0.02
inferno	C	12	5–7	42%	0.01
overpass	S	9	6–3	67%	0.01
nuke	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,052Matches

50%Win rate

1.18Avg K/D

85.1ADR

44%Headshot %

Clutches & streaks

42%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	81	57%	1.31	17.3
Ancient	45	49%	1.12	16.8
Dust2	34	47%	1.11	14.7
Inferno	24	54%	1.39	15.7
Anubis	23	39%	1.19	14.8
Nuke	16	44%	1.10	14.9
Cache	14	71%	1.30	16.1
Overpass	8	75%	1.53	21.1

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.

19.1%Headshot accuracy

39.9%Accuracy (enemy spotted)

45.0%Spray accuracy

86.2%Counter-strafing

9.3°Preaim

558msReaction time

31.8%T opening success

62.9%CT opening success

0.63Enemies flashed / flash

8.0%Flash assists

7.98HE damage / grenade

12.16Flashes / 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 31.7754% — below the 40% mark we flag

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.

31% win rate across 16 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
nuke	13–5	0.02	8%	23 Aug →
cache	4–13	0.02	13%	22 Aug →
cache	3–0	0.19	67%	22 Aug →
mirage	13–5	0.07	22%	21 Aug →
cache	9–13	-0.03	25%	20 Aug →
nuke	10–13	-0.05	13%	19 Aug →
ancient	14–16	0.05	15%	19 Aug →
inferno	13–4	0.00	16%	17 Aug →
ancient	13–5	-0.02	13%	17 Aug →
cache	13–8	0.03	21%	17 Aug →
mirage	11–13	-0.04	29%	16 Aug →
ancient	2–13	-0.06	21%	15 Aug →
mirage	13–11	0.05	17%	15 Aug →
ancient	13–11	0.06	26%	14 Aug →
cache	9–13	-0.03	24%	14 Aug →
mirage	5–13	-0.03	26%	14 Aug →
inferno	11–13	0.09	15%	14 Aug →
ancient	13–10	-0.06	14%	9 Aug →
mirage	11–13	0.04	20%	2 Aug →
mirage	13–10	0.05	14%	2 Aug →
ancient	13–9	-0.04	6%	2 Aug →
ancient	2–13	-0.09	17%	2 Aug →
ancient	12–16	-0.03	19%	1 Aug →
mirage	13–2	0.08	24%	1 Aug →
dust2	8–13	-0.00	28%	1 Aug →
cache	4–13	0.03	22%	25 Jul →
cache	13–11	-0.01	20%	25 Jul →
mirage	10–13	0.02	25%	24 Jul →
mirage	6–13	-0.02	12%	24 Jul →
ancient	13–11	-0.02	22%	24 Jul →
mirage	13–6	0.11	17%	24 Jul →
dust2	14–16	0.02	27%	24 Jul →
mirage	13–6	0.02	20%	24 Jul →
cache	13–10	-0.01	21%	12 Jul →
inferno	10–13	0.00	16%	12 Jul →
cache	13–5	0.10	24%	11 Jul →
mirage	13–11	0.04	31%	26 Jun →
dust2	7–13	-0.00	21%	26 Jun →
dust2	12–16	-0.00	18%	26 Jun →
overpass	13–8	0.02	25%	26 Jun →
ancient	13–9	0.02	10%	18 Jun →
dust2	8–13	-0.03	14%	18 Jun →
overpass	4–13	0.02	33%	18 Jun →
inferno	15–15	0.00	23%	18 Jun →
mirage	16–14	0.00	19%	18 Jun →
dust2	6–13	0.00	29%	14 May →
inferno	13–11	-0.01	31%	14 May →
cache	13–11	0.07	19%	14 May →
ancient	16–13	0.03	22%	14 May →
cache	8–13	-0.02	14%	2 May →
cache	8–13	-0.08	10%	2 May →
inferno	9–13	-0.05	19%	11 Apr →
ancient	13–7	0.03	15%	11 Apr →
dust2	13–5	-0.03	41%	11 Apr →
mirage	13–11	-0.03	18%	11 Apr →
mirage	13–9	-0.03	11%	10 Apr →
mirage	8–13	0.05	41%	5 Apr →
dust2	7–13	0.02	29%	5 Apr →
mirage	13–8	0.00	24%	3 Apr →
inferno	3–13	-0.05	28%	3 Apr →
inferno	13–10	-0.01	24%	28 Mar →
inferno	16–12	0.06	29%	21 Mar →
dust2	2–13	-0.05	33%	21 Mar →
mirage	13–6	0.04	16%	20 Mar →
dust2	10–13	-0.01	31%	14 Mar →
ancient	8–13	-0.03	22%	14 Mar →
mirage	13–7	0.11	21%	14 Mar →
mirage	13–3	0.02	21%	14 Mar →
overpass	13–11	-0.01	15%	14 Mar →
inferno	9–13	0.02	18%	13 Mar →
ancient	7–13	0.07	30%	13 Mar →
overpass	16–12	0.08	17%	13 Mar →
mirage	13–9	0.05	24%	8 Mar →
ancient	1–13	-0.04	16%	7 Mar →
dust2	11–13	-0.06	12%	6 Mar →
mirage	5–13	-0.02	24%	6 Mar →
nuke	13–16	0.02	10%	22 Feb →
mirage	9–13	0.04	29%	22 Feb →
mirage	13–8	0.02	13%	21 Feb →
overpass	13–8	0.00	9%	20 Feb →
dust2	13–6	0.08	10%	20 Feb →
inferno	13–11	-0.00	19%	15 Feb →
dust2	13–6	0.08	17%	15 Feb →
inferno	14–16	0.01	25%	15 Feb →
mirage	13–8	0.00	17%	14 Feb →
dust2	10–13	0.06	25%	14 Feb →
mirage	13–7	0.01	10%	13 Feb →
mirage	13–16	0.04	19%	13 Feb →
overpass	10–13	-0.01	9%	13 Feb →
overpass	4–13	0.02	26%	13 Feb →
dust2	13–6	-0.01	14%	7 Feb →
mirage	13–16	0.02	20%	7 Feb →
mirage	13–4	0.02	24%	1 Feb →
ancient	10–13	0.05	23%	31 Jan →
ancient	13–9	-0.01	19%	31 Jan →
overpass	13–11	0.04	16%	31 Jan →
dust2	13–11	0.00	28%	13 Dec →
mirage	3–13	-0.03	19%	6 Dec →
ancient	4–13	-0.02	33%	6 Dec →
overpass	13–10	-0.04	13%	6 Dec →