🗿⃤⃢🍷snake — CS2 Stats

CX76561198879989341[U:1:919723613]Steam profile ↗✓ No bans

954Tracked matches41%Win rate2020Tracked since

844Hours in CS

CSDB Rating4.8 DevelopingSupport

CSDB Leaderboard#22288 of 261702 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 954

0.0ppWin rate · 41.4% → 41.4%

Rating over time

Premier CS Rating: 25,000 +2,534 7 Feb – 14 Sept · 30 days played

Faceit ELO: 1,854 +0 2 Sept – 14 Sept · 3 observations

26,312Peak Premier in tracked matches

1,854Highest Faceit ELO seen on CSDB

52Days played since 2026-01-10

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

Aim59

Positioning50

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLLWWLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +2.1pp headshot accuracy · −11ms 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 605ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 18%
Avg reaction 576ms

Last 20

9–11 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 581ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim5.9

Utility6.2

Positioning5.0

Opening Duels2.7

Clutch4.4

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 Twistzz 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 585ms 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

Aim5.9

Positioning5.0

Utility6.2

Mechanics5.4

Opening Duels1.1

Win Impact2.1

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-0.01−0.05

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time593ms−16ms

first ⅓ avg 609ms → last ⅓ avg 593ms

Headshot accuracy16.7%−0.3%

first ⅓ avg 17.0% → last ⅓ avg 16.7%

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 · anubis, 6 Apr →

38%Best headshot accuracy · 13–2 · overpass, 30 Jan →

438msFastest reaction time · 3–13 · inferno, 14 May →

13–2Biggest win · cache, 7 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

9–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 71% over 7dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	46	20–26	43%	0.02
anubis	C	19	8–11	42%	0.00
dust2	D	9	3–6	33%	0.02
inferno	S	7	5–2	71%	-0.00
overpass	S	7	5–2	71%	0.01
nuke	—	3	2–1	67%	0.04
ancient	—	2	1–1	50%	-0.02
cache	—	2	1–1	50%	-0.03
train	—	2	2–0	100%	0.06
vertigo	—	2	2–0	100%	0.03
stronghold	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,185Lifetime kills

0.97K/D

1,969Matches

46.9%Match win rate · Top 50% of tracked players

42.8%Headshot %

12.0%Shot accuracy · Top 50% of tracked players

5,261MVPs

844Hours (in match)

1,692Bombs planted

795Bombs defused

Most-used weapons

AK-4712,345

M4A4 / M4A1-S6,032

AWP4,637

Desert Eagle3,306

P2000 / USP-S2,231

Glock-181,410

Galil AR1,083

MP9859

MAC-10777

Knife587

Lifetime map wins

2,835inferno

1,414dust2

1,408nuke

1,220train

790vertigo

182cbble

68office

42lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

422Matches

54%Win rate

1.04Avg K/D

74.7ADR

41%Headshot %

Clutches & streaks

42%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	100	64%	1.17	15.0
Anubis	27	67%	1.09	15.2
Inferno	26	46%	0.98	13.2
Dust2	21	57%	0.92	13.4
Train	12	42%	1.06	15.0
Ancient	11	64%	1.00	14.6
Nuke	7	29%	1.16	13.9
Overpass	3	0%	1.03	14.3

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.

16.8%Headshot accuracy

31.6%Accuracy (enemy spotted)

31.2%Spray accuracy

74.2%Counter-strafing

8.6°Preaim

585msReaction time

28.9%T opening success

38.4%CT opening success

0.58Enemies flashed / flash

4.2%Flash assists

10.72HE damage / grenade

12.12Flashes / 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 28.9408% — 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.

33% win rate across 9 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
anubis	2–13	0.02	21%	14 Nov →
anubis	7–13	-0.01	22%	30 Oct →
mirage	13–6	-0.04	17%	23 May →
mirage	13–5	-0.04	31%	23 May →
mirage	6–13	-0.03	20%	19 May →
inferno	3–13	-0.07	15%	14 May →
mirage	11–13	-0.05	17%	14 May →
anubis	13–10	0.03	14%	12 May →
dust2	7–13	-0.04	16%	12 May →
ancient	13–3	0.03	11%	12 May →
mirage	6–13	-0.06	12%	11 May →
mirage	10–13	0.00	15%	9 May →
anubis	16–13	0.00	7%	9 May →
mirage	13–8	0.05	22%	9 May →
mirage	11–13	0.05	27%	7 May →
mirage	14–16	-0.03	22%	7 May →
cache	13–2	0.01	13%	7 May →
mirage	13–8	-0.02	11%	5 May →
anubis	13–11	-0.06	12%	5 May →
mirage	7–13	0.05	21%	5 May →
inferno	13–11	-0.04	23%	3 May →
mirage	11–13	-0.02	29%	3 May →
overpass	13–7	-0.02	10%	3 May →
overpass	13–8	-0.02	7%	2 May →
anubis	15–15	-0.01	15%	2 May →
cache	9–13	-0.07	8%	29 Apr →
mirage	6–13	-0.02	8%	27 Apr →
mirage	9–13	-0.04	19%	27 Apr →
mirage	10–13	-0.03	29%	27 Apr →
anubis	8–13	-0.01	9%	26 Apr →
anubis	3–13	-0.05	26%	26 Apr →
overpass	10–13	-0.05	10%	26 Apr →
dust2	13–11	0.07	12%	25 Apr →
mirage	2–10	-0.04	31%	24 Apr →
mirage	13–8	0.03	17%	24 Apr →
mirage	11–13	0.01	21%	23 Apr →
stronghold	3–13	-0.01	15%	23 Apr →
train	13–11	-0.00	21%	23 Apr →
train	13–10	0.11	17%	22 Apr →
anubis	1–13	-0.11	8%	18 Apr →
mirage	13–8	0.03	23%	17 Apr →
mirage	13–9	0.06	22%	17 Apr →
mirage	13–10	0.07	21%	17 Apr →
nuke	13–8	0.13	26%	17 Apr →
mirage	6–13	-0.05	19%	17 Apr →
inferno	13–11	0.03	15%	10 Apr →
anubis	5–13	-0.05	29%	10 Apr →
inferno	13–9	0.05	15%	10 Apr →
anubis	13–11	0.03	13%	10 Apr →
inferno	13–5	0.11	17%	7 Apr →
mirage	8–13	-0.03	13%	6 Apr →
anubis	13–3	0.18	11%	6 Apr →
anubis	9–13	0.03	13%	5 Apr →
mirage	13–11	-0.01	11%	3 Apr →
anubis	4–13	-0.00	9%	3 Apr →
dust2	9–13	0.07	13%	2 Apr →
mirage	9–13	-0.06	21%	2 Apr →
mirage	3–13	-0.05	11%	2 Apr →
inferno	13–10	0.02	14%	2 Apr →
mirage	11–13	0.04	5%	2 Apr →
mirage	3–13	0.04	19%	2 Apr →
dust2	13–11	0.04	16%	31 Mar →
dust2	10–13	-0.02	10%	30 Mar →
mirage	10–13	0.07	16%	29 Mar →
inferno	2–13	-0.11	8%	27 Mar →
anubis	13–7	-0.06	5%	25 Mar →
anubis	13–5	0.02	6%	25 Mar →
mirage	7–13	0.04	37%	25 Mar →
mirage	6–2	0.08	13%	22 Mar →
mirage	16–13	-0.05	23%	20 Mar →
nuke	13–8	0.00	13%	13 Mar →
overpass	13–5	-0.03	14%	6 Mar →
mirage	11–13	0.01	17%	1 Mar →
vertigo	13–7	0.09	14%	24 Feb →
mirage	13–7	0.03	17%	23 Feb →
mirage	13–10	0.06	19%	22 Feb →
vertigo	13–9	-0.02	23%	12 Feb →
mirage	12–12	0.07	17%	10 Feb →
overpass	13–11	0.02	21%	9 Feb →
nuke	9–13	-0.02	11%	7 Feb →
mirage	13–4	0.15	2%	7 Feb →
dust2	3–13	-0.08	17%	7 Feb →
ancient	3–13	-0.07	4%	7 Feb →
overpass	11–13	0.01	14%	7 Feb →
mirage	13–6	0.15	20%	6 Feb →
mirage	13–9	0.05	21%	31 Jan →
anubis	13–8	0.07	12%	31 Jan →
mirage	13–10	0.02	13%	31 Jan →
overpass	13–2	0.15	38%	30 Jan →
mirage	13–10	-0.01	12%	30 Jan →
dust2	13–10	0.07	15%	30 Jan →
anubis	12–16	0.02	22%	30 Jan →
mirage	7–13	0.04	17%	29 Jan →
dust2	6–13	0.02	19%	29 Jan →
mirage	13–9	0.09	15%	29 Jan →
dust2	7–13	0.02	22%	27 Jan →
mirage	13–10	0.07	15%	26 Jan →
mirage	12–12	0.07	18%	17 Jan →
mirage	5–13	-0.04	11%	10 Jan →
anubis	13–16	0.02	12%	10 Jan →