ෆ 𝐾𝑖𝑡𝑡𝑒𝑛 ෆ — CS2 Stats

76561199819998427[U:1:1859732699]Steam profile ↗✓ No bans

226Tracked matches50%Win rate2025Tracked since

532Hours in CS15Hrs last 2 wks

CSDB Rating4.5 DevelopingAll-Rounder

Premier CS Rating7,941Light Blue band · top ~64.7% of ranked players (population est.)

CSDB Leaderboard#167653 of 225077 tracked

WingmanSilver II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 7,941 → 7,941

+2Tracked matches · now 226

+3.6ppWin rate · 46.4% → 50.0%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 27 Oct 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 7,941 +3,863 4 Jun – 18 Sept · 17 days played

8,116Peak Premier in tracked matches

36Days played since 2025-10-27

Premier CS Rating

175 below peak (8,116)
+216 over 30 days · steady
+1,447 over 90 days
Next: Blue band at 10,000 — 2,059 to go
Reached: Light Blue band
Light Blue band first seen 2026-08-31

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.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,059), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Light Blue band median	Blue band median	vs Blue band
Headshot rate	59.5%	39.9%	41.9%	above
Shot accuracy	0.0%	6.8%	9.6%	9.6% short
Kill/death ratio	0.83	0.91	0.98	0.15 short
Match win rate	21.5%	42.3%	43.8%	22.3% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim54

Positioning49

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLLWWWLWTLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −6.0pp headshot accuracy · −66ms reaction

Win rate 0pp 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

3–2 · 60% win rate
Avg rating 0.05
Avg headshot accuracy 15%
Avg reaction 633ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 19%
Avg reaction 654ms

Last 20

10–8–2 · 50% win rate
Avg rating 0.03
Avg headshot accuracy 22%
Avg reaction 687ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.4

Utility3.6

Positioning4.9

Opening Duels4.6

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 m0NESY 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 701ms 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

Aim5.4

Positioning4.9

Utility3.6

Mechanics6.3

Opening Duels3.7

Win Impact5.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.04

first ⅓ avg 0.01 → last ⅓ avg 0.05

Reaction time705ms+28ms

first ⅓ avg 676ms → last ⅓ avg 705ms

Headshot accuracy21.4%−0.6%

first ⅓ avg 22.0% → last ⅓ avg 21.4%

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

0.24Best match rating · 9–0 · overpass, 4 Aug →

52%Best headshot accuracy · 15–15 · dust2, 5 Nov →

477msFastest reaction time · 7–13 · mirage, 26 Aug →

13–0Biggest win · dust2, 3 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

3–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 68% over 19anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	33	14–19	42%	0.01
nuke	S	19	13–6	68%	0.04
dust2	D	12	4–8	33%	0.01
anubis	D	10	3–7	30%	0.00
ancient	C	10	4–6	40%	0.04
mirage	A	8	5–3	63%	0.01
cache	—	4	1–3	25%	-0.03
overpass	—	3	2–1	67%	0.06
vertigo	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,571Lifetime kills

0.83K/D

557Matches

21.5%Match win rate

59.5%Headshot % · Top 5% of Light Blue band

0.0%Shot accuracy

800MVPs

141Hours (in match)

264Bombs planted

54Bombs defused

Most-used weapons

AK-474,798

Desert Eagle1,631

AWP1,301

M4A4 / M4A1-S1,036

Glock-18328

SSG 08324

P2000 / USP-S280

P90111

Galil AR98

MP989

Lifetime map wins

595inferno

433nuke

346dust2

73vertigo

27train

7italy

2ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy

31.6%Accuracy (enemy spotted)

34.5%Spray accuracy

78.5%Counter-strafing

10.1°Preaim

701msReaction time

40.5%T opening success

49.2%CT opening success

0.47Enemies flashed / flash

2.8%Flash assists

13.68HE damage / grenade

2.54Flashes / 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.

Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.6493ms — above the 700ms mark we flag
Aim Training →
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 0.4654 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	0.02	17%	26 Aug →
mirage	7–13	-0.03	11%	26 Aug →
vertigo	9–5	0.08	11%	26 Aug →
anubis	13–1	0.04	14%	26 Aug →
nuke	16–14	0.12	23%	20 Aug →
anubis	7–13	-0.01	24%	19 Aug →
anubis	13–10	0.03	17%	19 Aug →
inferno	15–15	0.04	22%	19 Aug →
ancient	8–13	0.05	19%	19 Aug →
inferno	13–5	0.01	29%	16 Aug →
inferno	11–13	-0.02	32%	16 Aug →
nuke	13–6	0.08	21%	9 Aug →
anubis	4–13	0.01	29%	9 Aug →
dust2	13–11	0.03	19%	8 Aug →
inferno	13–10	0.14	18%	8 Aug →
nuke	5–13	0.01	25%	8 Aug →
inferno	13–7	-0.03	41%	8 Aug →
nuke	13–7	0.03	18%	8 Aug →
ancient	9–13	0.05	25%	8 Aug →
anubis	15–15	0.04	19%	8 Aug →
nuke	13–5	0.00	22%	8 Aug →
ancient	13–7	0.18	17%	8 Aug →
nuke	13–7	0.12	19%	5 Aug →
nuke	13–4	0.04	19%	5 Aug →
inferno	7–9	0.05	11%	5 Aug →
inferno	4–9	-0.12	17%	5 Aug →
inferno	9–1	0.21	27%	5 Aug →
nuke	8–8	0.12	18%	5 Aug →
ancient	5–13	-0.04	21%	4 Aug →
inferno	7–13	-0.03	18%	4 Aug →
overpass	9–0	0.24	35%	4 Aug →
nuke	9–1	0.16	23%	4 Aug →
inferno	6–9	-0.01	27%	4 Aug →
ancient	11–13	-0.03	18%	2 Aug →
inferno	8–13	-0.02	13%	2 Aug →
mirage	13–8	-0.01	18%	26 Jul →
dust2	13–16	0.01	21%	26 Jul →
cache	2–13	-0.11	0%	15 Jul →
inferno	1–13	-0.13	19%	15 Jul →
inferno	15–15	-0.04	10%	14 Jul →
anubis	1–13	-0.01	14%	14 Jul →
anubis	11–13	-0.07	18%	14 Jul →
inferno	6–13	-0.02	9%	14 Jul →
mirage	5–13	-0.03	18%	14 Jul →
cache	13–5	-0.00	6%	14 Jul →
nuke	13–11	0.01	20%	10 Jul →
cache	7–13	0.03	30%	10 Jul →
ancient	13–9	-0.02	14%	10 Jul →
cache	5–13	-0.02	35%	10 Jul →
nuke	13–4	-0.02	13%	10 Jul →
overpass	13–5	-0.01	16%	6 Jul →
inferno	6–13	-0.03	21%	6 Jul →
anubis	9–13	-0.01	17%	25 Jun →
nuke	13–7	0.05	14%	25 Jun →
nuke	10–3	0.03	32%	24 Jun →
mirage	16–13	0.13	27%	20 Jun →
nuke	8–0	-0.06	0%	20 Jun →
inferno	13–7	0.03	38%	19 Jun →
ancient	13–6	0.14	29%	19 Jun →
inferno	13–10	0.02	20%	19 Jun →
dust2	8–13	-0.01	20%	19 Jun →
mirage	13–5	0.06	19%	19 Jun →
inferno	13–8	0.02	25%	14 Jun →
nuke	7–13	-0.07	7%	12 Jun →
inferno	13–10	-0.06	9%	12 Jun →
anubis	13–2	0.01	19%	12 Jun →
ancient	13–6	0.05	33%	11 Jun →
anubis	10–13	-0.01	15%	4 Jun →
inferno	13–9	-0.03	12%	4 Jun →
inferno	13–7	-0.00	14%	4 Jun →
dust2	13–5	0.10	41%	4 Jun →
ancient	5–13	-0.06	13%	2 Jun →
nuke	9–13	-0.03	10%	2 Jun →
inferno	6–13	0.06	23%	2 Jun →
nuke	8–13	0.06	20%	2 Jun →
inferno	13–4	0.11	29%	2 Jun →
overpass	15–15	-0.05	17%	31 May →
mirage	4–13	-0.08	29%	31 May →
inferno	10–13	-0.01	5%	31 May →
inferno	10–13	-0.05	15%	21 May →
dust2	9–13	-0.04	13%	21 May →
inferno	16–13	0.01	6%	20 May →
dust2	11–13	0.01	19%	16 May →
dust2	10–13	-0.01	22%	16 May →
inferno	13–7	0.01	12%	16 May →
inferno	2–13	-0.05	8%	2 May →
ancient	10–13	0.05	24%	15 Apr →
inferno	1–13	-0.07	27%	15 Apr →
inferno	7–13	-0.02	22%	15 Apr →
dust2	13–0	-0.02	29%	3 Apr →
inferno	13–3	0.04	19%	27 Mar →
mirage	13–5	0.05	34%	22 Feb →
dust2	13–5	0.08	25%	14 Nov →
nuke	15–15	0.02	48%	14 Nov →
dust2	15–15	-0.02	52%	5 Nov →
inferno	7–13	0.17	34%	5 Nov →
nuke	13–3	0.14	29%	4 Nov →
inferno	9–13	0.01	22%	4 Nov →
mirage	13–10	0.01	23%	4 Nov →
dust2	4–13	-0.01	18%	27 Oct →