Azterix! — CS2 Stats

76561197980140037[U:1:19874309]Steam profile ↗✓ No bans

1,873Tracked matches66%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating21,104Pink band · top ~7.3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning46

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY61–36–3Last 10061%Win rateWWLLLTLWLW

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.2

Aggression6.3

Utility4.7

Positioning4.6

Opening Duels1.8

Clutch3.0

Strong 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 Twistzz 87% playstyle similarity

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

Where you differ: lower aim profile; lower 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

Areas to improve

T-side openings. Opening success drops from 45% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim7.2

Positioning4.6

Utility4.7

Mechanics4.4

Opening Duels1.8

Win Impact10.0

Composite 5.7/10 (Solid), 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 rating-0.00+0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time564ms−55ms

first ⅓ avg 619ms → last ⅓ avg 564ms

Headshot accuracy22.2%+1.1%

first ⅓ avg 21.1% → last ⅓ avg 22.2%

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 13–1

13–1Biggest win — cache

7Longest win streak

W2Current streak

4–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 87% over 15infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	27	16–11	59%	0.00
anubis	S	18	12–6	67%	-0.01
cache	S	15	13–2	87%	0.03
mirage	C	13	5–8	38%	-0.00
ancient	S	9	6–3	67%	-0.01
inferno	D	9	3–6	33%	-0.01
nuke	S	9	6–3	67%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

694Matches

47%Win rate

0.93Avg K/D

75.6ADR

45%Headshot %

Clutches & streaks

35%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	49	49%	1.02	15.8
Mirage	48	42%	0.87	14.4
Ancient	34	38%	0.83	14.7
Dust2	33	48%	0.96	14.9
Inferno	29	48%	1.12	15.5
Vertigo	15	53%	0.93	14.6
Nuke	14	43%	0.93	15.9
Overpass	3	0%	0.82	13.0

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.

20.9%Headshot accuracy

34.0%Accuracy (enemy spotted)

41.7%Spray accuracy

69.6%Counter-strafing

9.1°Preaim

567msReaction time

29.6%T opening success

44.6%CT opening success

0.42Enemies flashed / flash

4.5%Flash assists

10.04HE damage / grenade

8.93Flashes / 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 0.4233 — below the 0.5 mark we flag
Grenade Lineups →
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 29.5772% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–1	0.04	33%	25 Aug →
ancient	13–7	0.04	30%	25 Aug →
mirage	11–13	-0.03	10%	24 Aug →
dust2	5–13	-0.01	25%	23 Aug →
mirage	11–13	0.04	31%	22 Aug →
anubis	15–15	-0.00	18%	22 Aug →
anubis	0–13	-0.08	14%	18 Aug →
ancient	13–9	-0.04	18%	12 Aug →
dust2	1–5	-0.06	71%	12 Aug →
dust2	13–6	0.04	15%	12 Aug →
anubis	3–13	-0.06	6%	11 Aug →
ancient	13–4	0.01	14%	11 Aug →
anubis	13–5	0.02	15%	11 Aug →
anubis	13–3	0.06	37%	10 Aug →
anubis	13–10	-0.02	15%	10 Aug →
dust2	7–13	0.03	23%	10 Aug →
inferno	13–5	-0.00	23%	10 Aug →
dust2	4–13	-0.05	30%	10 Aug →
nuke	6–13	-0.10	4%	10 Aug →
cache	2–0	0.01	25%	10 Aug →
anubis	13–9	-0.04	14%	9 Aug →
inferno	13–2	-0.02	14%	9 Aug →
dust2	13–2	0.10	25%	9 Aug →
anubis	13–16	-0.08	13%	9 Aug →
cache	13–3	0.04	25%	7 Aug →
nuke	13–5	0.02	16%	7 Aug →
mirage	13–9	0.00	17%	7 Aug →
dust2	13–8	0.01	25%	7 Aug →
anubis	13–5	0.06	27%	6 Aug →
dust2	13–6	0.05	39%	6 Aug →
ancient	3–13	-0.03	15%	6 Aug →
dust2	15–15	0.03	27%	5 Aug →
anubis	5–13	-0.02	16%	4 Aug →
dust2	10–13	-0.02	31%	4 Aug →
dust2	13–8	-0.04	13%	3 Aug →
anubis	13–1	0.05	32%	3 Aug →
cache	13–6	0.01	30%	3 Aug →
dust2	13–2	0.17	23%	3 Aug →
anubis	9–13	0.05	26%	2 Aug →
nuke	9–13	-0.02	19%	2 Aug →
dust2	8–13	-0.07	18%	2 Aug →
dust2	13–1	0.03	29%	2 Aug →
ancient	13–5	0.06	25%	1 Aug →
dust2	13–4	0.03	31%	1 Aug →
dust2	13–5	-0.04	32%	1 Aug →
cache	13–1	0.19	30%	31 Jul →
nuke	13–6	0.07	19%	31 Jul →
anubis	13–8	-0.03	22%	31 Jul →
dust2	10–13	-0.04	32%	31 Jul →
inferno	14–16	0.03	21%	30 Jul →
anubis	16–14	-0.06	13%	30 Jul →
dust2	13–8	0.02	14%	28 Jul →
ancient	8–13	-0.10	38%	28 Jul →
cache	13–4	0.06	23%	28 Jul →
mirage	9–13	0.07	16%	27 Jul →
dust2	5–13	-0.04	13%	26 Jul →
inferno	10–13	-0.02	27%	26 Jul →
anubis	13–11	0.02	22%	25 Jul →
cache	6–13	0.00	19%	25 Jul →
ancient	13–1	-0.02	22%	25 Jul →
dust2	13–9	0.00	19%	25 Jul →
dust2	5–13	-0.05	24%	22 Jul →
dust2	11–13	0.01	26%	22 Jul →
cache	13–8	-0.00	43%	22 Jul →
mirage	13–3	0.03	25%	19 Jul →
dust2	13–8	-0.00	27%	19 Jul →
mirage	5–13	-0.02	21%	19 Jul →
cache	13–8	-0.01	22%	19 Jul →
nuke	15–15	-0.06	23%	19 Jul →
nuke	13–4	0.10	41%	18 Jul →
anubis	16–14	-0.04	10%	18 Jul →
mirage	13–8	-0.02	18%	18 Jul →
cache	13–6	0.06	21%	17 Jul →
nuke	13–9	-0.03	22%	17 Jul →
mirage	7–13	-0.08	8%	16 Jul →
cache	13–10	0.02	19%	16 Jul →
inferno	4–13	0.01	15%	16 Jul →
cache	13–10	0.05	24%	15 Jul →
anubis	13–3	-0.06	13%	15 Jul →
nuke	13–10	0.00	19%	15 Jul →
inferno	5–13	-0.03	10%	13 Jul →
dust2	13–3	-0.03	23%	13 Jul →
anubis	13–10	0.03	26%	13 Jul →
mirage	13–9	-0.10	21%	13 Jul →
mirage	8–2	0.02	29%	13 Jul →
dust2	13–5	0.02	29%	12 Jul →
mirage	10–13	0.04	35%	12 Jul →
dust2	13–6	0.05	28%	12 Jul →
nuke	13–4	0.02	31%	12 Jul →
cache	6–13	-0.08	8%	12 Jul →
mirage	11–13	-0.02	14%	12 Jul →
inferno	6–13	-0.05	19%	11 Jul →
ancient	3–13	-0.02	11%	11 Jul →
cache	13–3	0.01	33%	11 Jul →
mirage	10–13	0.07	23%	11 Jul →
cache	13–4	0.01	18%	11 Jul →
dust2	13–5	-0.05	18%	9 Jul →
ancient	13–5	0.04	24%	9 Jul →
inferno	6–13	-0.02	22%	9 Jul →
inferno	13–1	0.03	20%	9 Jul →