CAX👽ツ — CS2 Stats

CR76561198029154721[U:1:68888993]Steam profile ↗✓ No bans

4,109Tracked matches70%Win rate2020Tracked since

CSDB Rating6.4 SolidPositional Player

Premier CS Rating17,510Purple band · top ~18.4% of ranked players (population est.)

CSDB Leaderboard#119094 of 259832 tracked

FaceitLevel 10 · 2,654 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,510 → 17,510

0Faceit ELO · 2,654 → 2,654

+1Tracked matches · now 4,109

0.0ppWin rate · 70.0% → 70.0%

Rating over time

Premier CS Rating: 17,510 +0 9 Oct – 3 Nov · 5 days played

Faceit ELO: 2,654 +0 20 Sept – 3 Nov · 4 observations

17,510Peak Premier in tracked matches

2,654Highest Faceit ELO seen on CSDB

82Days played since 2024-10-09

Faceit ELO

At peak — 2,654
0 over 30 days · steady
Next: 3,000 ELO at 3,000 — 346 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-09-20
Level 10 first seen 2026-09-20

Premier CS Rating

At peak — 17,510
0 over 30 days · steady
Next: Pink band at 20,000 — 2,490 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-20
Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim84

Positioning53

Utility43

0–100 skill scores via Leetify.

Recent form

HOT64–36Last 10064%Win rateWWWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.06 avg rating · −2.5pp headshot accuracy · −83ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 522ms

Last 10

8–2 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 21%
Avg reaction 515ms

Last 20

13–7 · 65% win rate
Avg rating 0.01
Avg headshot accuracy 22%
Avg reaction 557ms

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 (+1.6 against its own average).

Aim8.4

Utility4.3

Positioning5.3

Opening Duels2.2

Clutch3.0

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 b1t 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 566ms 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

Aim8.4

Positioning5.3

Utility4.3

Mechanics6.4

Opening Duels2.3

Win Impact10.0

Composite 6.4/10 (Solid), 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 rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time568ms+19ms

first ⅓ avg 548ms → last ⅓ avg 568ms

Headshot accuracy21.8%+4.3%

first ⅓ avg 17.5% → last ⅓ avg 21.8%

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.

Personal bests

0.17Best match rating · 9–2 · nuke, 10 Oct →

34%Best headshot accuracy · 13–11 · vertigo, 4 Sept →

336msFastest reaction time · 4–0 · train, 16 Nov →

13–1Biggest win · overpass, 13 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W4Current streak

9–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

overpassBest map · 86% over 7trainWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	23	14–9	61%	0.02
mirage	A	18	11–7	61%	-0.00
nuke	S	15	10–5	67%	0.01
dust2	S	13	9–4	69%	0.01
inferno	S	9	6–3	67%	0.01
overpass	S	7	6–1	86%	0.02
anubis	S	5	4–1	80%	0.01
train	C	5	2–3	40%	0.05
vertigo	—	3	1–2	33%	0.02
cache	—	2	1–1	50%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

6,465Matches

51%Win rate

1.12Avg K/D

80.5ADR

42%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

17Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	390	49%	1.17	16.6
Nuke	343	60%	1.27	17.2
Mirage	232	49%	1.12	16.8
Dust2	190	44%	1.19	16.1
Anubis	174	47%	1.15	16.4
Inferno	143	51%	1.14	17.5
Vertigo	101	66%	1.23	17.2
Overpass	100	57%	1.18	16.2

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.

21.0%Headshot accuracy

37.1%Accuracy (enemy spotted)

38.9%Spray accuracy

79.0%Counter-strafing

7.3°Preaim

566msReaction time

33.7%T opening success

44.9%CT opening success

0.63Enemies flashed / flash

6.5%Flash assists

6.41HE damage / grenade

4.51Flashes / 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 33.7316% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–12	0.00	21%	22 Oct →
anubis	16–14	0.01	15%	13 Oct →
ancient	13–3	0.09	22%	4 Oct →
nuke	13–9	-0.03	10%	19 Sept →
ancient	5–13	0.01	29%	8 Sept →
vertigo	13–11	0.17	34%	4 Sept →
ancient	13–7	0.08	23%	3 Sept →
cache	13–9	-0.00	15%	21 Aug →
ancient	13–4	-0.01	21%	30 Jul →
ancient	8–13	0.05	19%	24 Jul →
ancient	3–13	0.00	24%	11 Jul →
ancient	13–6	-0.02	32%	2 Jul →
inferno	6–13	-0.10	19%	26 Jun →
mirage	11–13	-0.01	18%	19 Jun →
dust2	13–6	0.01	20%	28 May →
inferno	13–3	0.03	26%	28 May →
cache	11–13	-0.05	24%	13 May →
anubis	13–10	-0.02	32%	30 Apr →
mirage	4–13	-0.09	17%	3 Apr →
mirage	13–6	0.04	21%	3 Apr →
overpass	13–9	0.03	11%	3 Apr →
inferno	13–4	0.06	24%	2 Apr →
inferno	13–10	0.03	17%	23 Mar →
anubis	13–8	0.03	32%	21 Mar →
mirage	13–10	-0.01	20%	4 Mar →
ancient	16–12	0.01	10%	1 Mar →
mirage	9–13	-0.07	23%	19 Feb →
dust2	4–0	-0.00	30%	19 Feb →
overpass	2–13	-0.04	19%	11 Feb →
ancient	13–3	0.04	18%	10 Feb →
nuke	13–7	0.10	21%	9 Feb →
nuke	14–16	-0.05	29%	24 Jan →
mirage	8–13	-0.01	25%	20 Jan →
nuke	9–13	-0.01	22%	19 Jan →
overpass	13–7	-0.00	24%	11 Jan →
ancient	13–7	0.03	15%	11 Jan →
mirage	13–7	0.03	17%	3 Jan →
nuke	6–13	-0.05	12%	28 Dec →
inferno	13–5	0.05	24%	26 Dec →
mirage	13–3	0.02	24%	21 Dec →
overpass	13–8	0.01	20%	18 Dec →
inferno	7–13	0.01	13%	18 Dec →
ancient	13–11	0.00	21%	13 Oct →
nuke	9–2	0.17	22%	10 Oct →
dust2	13–8	0.03	13%	12 Sept →
overpass	13–10	0.04	14%	5 Sept →
ancient	9–13	0.01	7%	20 Aug →
overpass	13–1	0.05	12%	13 Aug →
train	14–16	0.01	10%	11 Aug →
nuke	13–16	0.01	22%	11 Aug →
dust2	11–13	0.03	32%	11 Aug →
nuke	9–13	-0.07	14%	7 Aug →
overpass	13–9	0.05	17%	16 Jul →
ancient	6–13	-0.02	32%	10 Jul →
ancient	13–9	0.02	8%	5 Jul →
ancient	16–13	0.05	17%	17 Jun →
nuke	13–6	0.01	25%	26 May →
ancient	13–5	0.11	22%	26 May →
inferno	19–17	0.05	18%	11 May →
nuke	19–16	-0.01	26%	11 May →
inferno	10–13	0.01	22%	8 May →
dust2	13–11	0.00	26%	8 May →
dust2	13–5	0.08	24%	8 May →
ancient	10–13	0.03	14%	2 May →
mirage	7–13	-0.03	15%	24 Apr →
mirage	19–16	0.01	26%	23 Apr →
ancient	8–13	-0.02	15%	23 Apr →
anubis	6–13	0.00	21%	20 Apr →
mirage	13–11	-0.03	19%	5 Apr →
nuke	13–6	0.03	16%	4 Apr →
nuke	13–6	-0.05	8%	22 Mar →
mirage	13–11	-0.05	16%	21 Mar →
nuke	13–4	-0.00	16%	14 Mar →
train	5–13	0.02	24%	12 Mar →
mirage	13–5	0.07	22%	21 Feb →
mirage	13–6	0.06	26%	11 Feb →
ancient	11–13	-0.03	7%	4 Feb →
dust2	8–13	0.01	20%	1 Feb →
nuke	19–16	0.06	16%	29 Jan →
mirage	17–19	-0.03	18%	18 Jan →
nuke	16–14	-0.02	18%	13 Jan →
dust2	13–5	-0.00	13%	13 Jan →
ancient	14–16	0.03	15%	5 Jan →
ancient	13–9	0.02	16%	2 Jan →
mirage	9–13	-0.00	22%	2 Jan →
vertigo	7–13	-0.04	7%	29 Dec →
ancient	13–9	-0.02	17%	29 Dec →
dust2	19–15	0.06	28%	28 Dec →
dust2	11–13	-0.03	28%	27 Dec →
anubis	13–6	0.03	17%	11 Dec →
inferno	13–8	-0.01	18%	10 Dec →
ancient	13–11	-0.01	10%	29 Nov →
mirage	13–7	0.04	13%	17 Nov →
train	13–2	0.16	22%	16 Nov →
train	4–0	0.14	33%	16 Nov →
train	5–13	-0.07	6%	15 Nov →
mirage	13–10	-0.01	13%	15 Nov →
dust2	10–13	-0.10	20%	28 Oct →
vertigo	6–13	-0.06	15%	18 Oct →
dust2	13–4	0.06	18%	9 Oct →