cat in a box — CS2 Stats

76561198873610606[U:1:913344878]Steam profile ↗✓ No bans

3,114Tracked matches63%Win rate2020Tracked since

CSDB Rating5.9 SolidPositional Player

CSDB Leaderboard#227857 of 260019 tracked

FaceitLevel 10 · 2,149 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 11 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,149 → 2,149

+74Tracked matches · now 3,114

−16.3ppWin rate · 79.3% → 63.0%

Rating over time

Faceit ELO: 2,149 +0 3 Sept – 11 Sept · 2 observations

2,149Highest Faceit ELO seen on CSDB

48Days played since 2026-07-30

Faceit ELO

At peak — 2,149
Next: 2,500 ELO at 2,500 — 351 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-03
Level 9 first seen 2026-09-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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

Aim73

Positioning60

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY58–34–8Last 10058%Win rateLLLWLWTTWW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · +87ms reaction

Win rate down 40pp 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

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 29%
Avg reaction 590ms

Last 10

4–4–2 · 40% win rate
Avg rating 0.03
Avg headshot accuracy 28%
Avg reaction 584ms

Last 20

12–6–2 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 26%
Avg reaction 541ms

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 (+2.1 against its own average).

Aim7.3

Utility3.6

Positioning6.0

Opening Duels2.6

Clutch3.4

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 iM 92% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

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

Aim7.3

Positioning6.0

Utility3.6

Mechanics4.5

Opening Duels3.6

Win Impact9.3

Composite 5.9/10 (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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time521ms−13ms

first ⅓ avg 534ms → last ⅓ avg 521ms

Headshot accuracy24.9%+2.8%

first ⅓ avg 22.1% → last ⅓ avg 24.9%

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

0.22Best match rating · 13–9 · dust2, 27 Sept →

60%Best headshot accuracy · 3–7 · rush_001, 2 Nov →

172msFastest reaction time · 9–2 · shelter, 18 Oct →

13–0Biggest win · cache, 1 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak

L3Current streak

9–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 67% over 55trainWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	55	37–18	67%	0.07
cache	A	11	6–5	55%	0.02
ancient	C	8	3–5	38%	0.02
train	D	6	2–4	33%	0.01
anubis	S	6	4–2	67%	0.03
shelter	—	4	1–3	25%	0.02
inferno	—	3	0–3	0%	0.01
mirage	—	3	2–1	67%	-0.01
rush_001	—	2	1–1	50%	-0.03
dust2	—	2	2–0	100%	0.12

Across the last 100 tracked matches.

Faceit stats

Combat

1,106Matches

53%Win rate

1.16Avg K/D

81.4ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	292	50%	1.08	15.9
Ancient	233	58%	1.24	17.2
Anubis	125	52%	1.18	17.0
Inferno	100	52%	1.22	17.4
Dust2	86	33%	0.93	14.8
Nuke	77	61%	1.25	17.5
Vertigo	66	59%	1.35	19.8
Train	45	64%	1.25	17.6

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.

22.1%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.8%Spray accuracy

70.2%Counter-strafing

9.9°Preaim

519msReaction time

40.9%T opening success

47.9%CT opening success

0.36Enemies flashed / flash

4.5%Flash assists

4.64HE damage / grenade

8.75Flashes / 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 0.3551 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
rush_001	3–7	-0.04	60%	2 Nov →
ancient	9–13	-0.05	13%	2 Nov →
train	7–13	0.00	19%	1 Nov →
cache	13–8	0.05	41%	1 Nov →
nuke	5–13	-0.04	13%	1 Nov →
nuke	13–3	0.10	28%	1 Nov →
cache	12–12	0.05	29%	30 Oct →
nuke	12–12	0.06	25%	30 Oct →
nuke	9–0	0.09	36%	30 Oct →
nuke	13–5	0.05	13%	27 Oct →
ancient	13–11	0.10	26%	27 Oct →
nuke	10–13	0.18	30%	27 Oct →
nuke	13–6	0.06	22%	19 Oct →
shelter	10–13	-0.09	15%	18 Oct →
shelter	9–2	-0.02	38%	18 Oct →
train	13–6	-0.05	9%	18 Oct →
nuke	13–9	0.01	23%	18 Oct →
nuke	13–7	0.04	36%	18 Oct →
nuke	13–4	0.21	33%	18 Oct →
cache	13–5	0.00	20%	17 Oct →
nuke	13–8	0.08	37%	15 Oct →
anubis	4–13	-0.01	14%	14 Oct →
nuke	13–11	0.08	16%	14 Oct →
train	11–13	-0.03	22%	11 Oct →
anubis	7–13	0.06	15%	11 Oct →
train	10–13	-0.02	12%	9 Oct →
train	13–9	0.05	16%	9 Oct →
shelter	12–12	0.09	19%	9 Oct →
nuke	13–3	0.05	23%	9 Oct →
nuke	10–13	0.00	13%	8 Oct →
nuke	13–1	0.13	25%	8 Oct →
rush_001	8–6	-0.03	50%	8 Oct →
ancient	0–13	-0.02	32%	6 Oct →
nuke	10–13	0.06	20%	6 Oct →
nuke	13–11	0.07	26%	6 Oct →
nuke	13–11	0.11	19%	6 Oct →
nuke	11–13	0.07	31%	5 Oct →
ancient	13–6	0.06	20%	5 Oct →
inferno	11–13	0.03	17%	4 Oct →
nuke	2–13	0.01	24%	3 Oct →
cache	9–13	-0.01	23%	2 Oct →
nuke	12–12	0.08	28%	2 Oct →
nuke	13–4	0.15	19%	1 Oct →
ancient	13–10	0.04	29%	27 Sept →
dust2	13–9	0.22	27%	27 Sept →
train	9–13	0.12	44%	27 Sept →
nuke	12–12	0.01	35%	21 Sept →
nuke	13–6	0.11	26%	21 Sept →
nuke	13–4	0.13	28%	20 Sept →
nuke	10–13	0.12	29%	19 Sept →
nuke	6–13	-0.04	26%	15 Sept →
nuke	8–13	0.07	17%	14 Sept →
shelter	10–13	0.13	31%	13 Sept →
ancient	17–19	0.06	22%	12 Sept →
cache	12–12	0.02	24%	12 Sept →
nuke	13–8	0.11	24%	10 Sept →
nuke	13–3	0.03	30%	9 Sept →
nuke	11–13	0.03	32%	9 Sept →
nuke	13–3	0.08	43%	8 Sept →
anubis	25–22	-0.01	19%	7 Sept →
nuke	7–13	-0.01	29%	7 Sept →
mirage	13–9	0.04	18%	7 Sept →
cache	13–10	-0.03	14%	7 Sept →
anubis	13–2	0.10	28%	7 Sept →
cache	13–6	0.10	27%	6 Sept →
cache	5–13	0.04	27%	6 Sept →
nuke	13–5	0.06	33%	3 Sept →
nuke	12–12	0.07	18%	3 Sept →
nuke	13–5	0.06	17%	2 Sept →
nuke	13–5	0.13	25%	2 Sept →
inferno	10–13	0.04	16%	2 Sept →
nuke	13–6	0.06	27%	2 Sept →
nuke	7–13	0.03	26%	31 Aug →
nuke	13–10	0.13	30%	31 Aug →
nuke	13–5	0.11	24%	31 Aug →
nuke	13–11	0.06	26%	28 Aug →
cache	10–13	-0.02	10%	28 Aug →
nuke	13–4	0.14	22%	24 Aug →
anubis	13–4	0.09	21%	24 Aug →
nuke	13–1	0.03	30%	24 Aug →
nuke	13–4	0.06	19%	22 Aug →
nuke	13–11	0.03	26%	22 Aug →
nuke	13–10	-0.02	19%	19 Aug →
nuke	13–8	0.14	22%	17 Aug →
nuke	9–5	0.01	21%	17 Aug →
nuke	13–6	0.11	25%	16 Aug →
anubis	13–11	-0.03	6%	12 Aug →
inferno	8–13	-0.05	20%	10 Aug →
dust2	13–9	0.03	28%	10 Aug →
nuke	13–8	0.10	31%	9 Aug →
nuke	13–8	0.02	28%	9 Aug →
nuke	11–13	0.02	21%	6 Aug →
mirage	7–13	-0.06	22%	6 Aug →
nuke	12–12	-0.00	21%	2 Aug →
nuke	13–9	0.06	38%	2 Aug →
cache	13–0	0.04	23%	1 Aug →
mirage	13–1	0.01	14%	1 Aug →
ancient	9–13	0.03	17%	1 Aug →
ancient	11–13	-0.04	18%	31 Jul →
cache	13–11	-0.01	21%	30 Jul →