⁅𝕎𝕚𝕫𝕫𝕦⁆ — CS2 Stats

76561199473121896[U:1:1512856168]Steam profile ↗✓ No bans

2,069Tracked matches50%Win rate2023Tracked since

1,931Hours in CS34Hrs last 2 wks

CSDB Rating3.4 LearningPositional Player

Premier CS Rating5,108Light Blue band · top ~78.3% of ranked players (population est.)

CSDB Leaderboard#201461 of 258971 tracked

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 5,108 -2,253 14 Sept – 30 Oct · 28 days played

7,402Peak Premier in tracked matches

26Days played since 2026-09-14

Premier CS Rating

2,294 below peak (7,402)
+221 over 30 days · steady
Next: Blue band at 10,000 — 4,892 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	130	—	—
Win rate	44%	—	—
K/D	0.85	—	—
Headshot %	45%	—	—

Measured 27 Sep 2026 → 31 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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	35.6%	39.9%	42.0%	6.3% short
Shot accuracy	0.6%	7.0%	9.6%	9.1% short
Kill/death ratio	0.74	0.92	0.98	0.24 short
Match win rate	39.3%	42.3%	43.8%	4.5% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Aim27

Positioning48

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateWWLLLLWLLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.7pp headshot accuracy · +2ms reaction

Win rate down 20pp 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

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 752ms

Last 10

4–6 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 726ms

Last 20

10–8–2 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 725ms

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).

Aim2.7

Utility4.3

Positioning4.8

Opening Duels1.9

Clutch0.0

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.

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 65% 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. 722ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.7

Positioning4.8

Utility4.3

Mechanics3.3

Opening Duels3.7

Win Impact5.0

Composite 3.4/10 (Learning), 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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time719ms+26ms

first ⅓ avg 693ms → last ⅓ avg 719ms

Headshot accuracy14.5%+1.2%

first ⅓ avg 13.3% → last ⅓ avg 14.5%

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

0.10Best match rating · 13–11 · nuke, 13 Oct →

32%Best headshot accuracy · 6–13 · nuke, 17 Oct →

531msFastest reaction time · 6–13 · anubis, 23 Sept →

13–1Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

6–14In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 58% over 19anubisWeakest map · 17% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	22	7–15	32%	-0.03
nuke	A	19	11–8	58%	0.00
ancient	B	12	6–6	50%	-0.01
anubis	D	12	2–10	17%	-0.03
inferno	D	12	4–8	33%	-0.03
mirage	C	11	4–7	36%	-0.03
office	C	5	2–3	40%	-0.03
cache	D	5	1–4	20%	-0.05
vertigo	—	2	1–1	50%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,310Lifetime kills

0.74K/D

3,343Matches

39.3%Match win rate

35.6%Headshot %

0.6%Shot accuracy

6,322MVPs

1,088Hours (in match)

2,861Bombs planted

446Bombs defused

Most-used weapons

M4A4 / M4A1-S9,980

AK-479,214

Galil AR3,073

MP72,874

MAC-101,993

MP91,677

P2000 / USP-S1,494

AWP1,263

Dual Berettas1,142

Glock-181,112

Lifetime map wins

6,694inferno

4,159dust2

2,657nuke

1,604office

941vertigo

209train

25italy

25ar_shoots

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

Faceit stats

Combat

25Matches

36%Win rate

0.61Avg K/D

63.4ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	50%	0.48	7.6
Ancient	5	0%	0.63	12.6
Nuke	5	40%	0.64	10.8
Overpass	3	67%	0.99	11.7
Inferno	2	50%	0.63	10.5
Dust2	2	0%	0.43	9.5

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.

14.0%Headshot accuracy

31.3%Accuracy (enemy spotted)

33.7%Spray accuracy

64.9%Counter-strafing

11.7°Preaim

722msReaction time

41.4%T opening success

48.1%CT opening success

0.38Enemies flashed / flash

3.8%Flash assists

10.32HE damage / grenade

5.31Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.9918% — below the 15% mark we flag
Aim Training →
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 721.7385ms — 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 0.3818 — 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.

17% win rate across 12 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
ancient	13–8	-0.02	14%	30 Oct →
nuke	13–8	-0.00	16%	30 Oct →
anubis	6–13	0.00	10%	30 Oct →
office	6–13	-0.03	27%	30 Oct →
nuke	7–13	-0.06	12%	30 Oct →
mirage	9–13	0.00	24%	30 Oct →
nuke	13–3	0.04	11%	30 Oct →
anubis	11–13	-0.04	18%	29 Oct →
cache	3–13	-0.05	12%	26 Oct →
anubis	13–10	-0.01	11%	26 Oct →
cache	11–13	-0.04	8%	26 Oct →
nuke	15–15	0.00	6%	26 Oct →
dust2	13–4	0.02	11%	26 Oct →
nuke	13–5	0.00	14%	26 Oct →
inferno	13–9	-0.03	17%	25 Oct →
ancient	15–15	-0.01	13%	24 Oct →
dust2	13–4	-0.02	14%	24 Oct →
mirage	13–9	0.03	9%	24 Oct →
ancient	13–7	-0.06	9%	24 Oct →
dust2	5–13	-0.04	16%	24 Oct →
nuke	13–4	0.04	20%	24 Oct →
dust2	13–10	0.00	18%	24 Oct →
dust2	7–13	-0.01	16%	23 Oct →
inferno	13–10	0.02	18%	23 Oct →
dust2	3–13	-0.03	14%	23 Oct →
dust2	14–16	-0.03	13%	23 Oct →
cache	7–13	-0.10	13%	23 Oct →
inferno	5–9	-0.15	20%	21 Oct →
inferno	16–13	-0.01	12%	21 Oct →
mirage	13–16	-0.03	16%	21 Oct →
inferno	7–9	-0.01	16%	21 Oct →
dust2	13–16	-0.04	13%	19 Oct →
anubis	6–13	-0.05	17%	19 Oct →
anubis	4–13	-0.01	14%	17 Oct →
ancient	16–13	0.08	20%	17 Oct →
nuke	6–13	-0.02	32%	17 Oct →
nuke	13–5	0.07	18%	17 Oct →
nuke	11–13	-0.03	22%	17 Oct →
nuke	13–11	-0.02	17%	17 Oct →
inferno	8–8	-0.08	14%	17 Oct →
anubis	11–13	-0.00	10%	16 Oct →
dust2	9–13	-0.06	19%	14 Oct →
nuke	5–13	-0.02	25%	14 Oct →
nuke	13–6	0.03	11%	14 Oct →
inferno	8–8	-0.05	17%	14 Oct →
ancient	13–10	0.07	11%	14 Oct →
cache	2–13	-0.07	3%	14 Oct →
mirage	13–11	-0.04	11%	14 Oct →
dust2	11–13	0.01	17%	13 Oct →
dust2	13–10	0.00	18%	13 Oct →
mirage	5–13	-0.00	18%	13 Oct →
anubis	4–13	-0.10	19%	13 Oct →
inferno	11–13	-0.01	22%	13 Oct →
nuke	13–11	0.10	11%	13 Oct →
anubis	7–13	-0.06	4%	10 Oct →
mirage	11–13	-0.05	5%	9 Oct →
vertigo	9–5	0.04	9%	9 Oct →
dust2	10–13	-0.06	17%	9 Oct →
dust2	13–5	0.02	13%	9 Oct →
ancient	10–13	-0.00	11%	8 Oct →
nuke	13–8	0.03	9%	8 Oct →
dust2	13–10	0.01	18%	8 Oct →
dust2	4–13	-0.06	14%	8 Oct →
dust2	7–13	-0.07	15%	8 Oct →
nuke	11–13	-0.05	7%	8 Oct →
ancient	13–2	0.01	15%	8 Oct →
cache	16–14	-0.01	14%	7 Oct →
nuke	8–2	-0.03	14%	7 Oct →
office	13–11	-0.01	21%	5 Oct →
mirage	13–1	-0.03	3%	5 Oct →
inferno	13–8	-0.04	8%	5 Oct →
anubis	9–13	-0.01	17%	5 Oct →
dust2	15–15	-0.07	13%	4 Oct →
nuke	13–6	0.00	15%	4 Oct →
ancient	15–15	-0.07	15%	4 Oct →
dust2	14–16	-0.05	13%	3 Oct →
inferno	9–13	-0.08	6%	2 Oct →
ancient	7–13	-0.08	9%	2 Oct →
mirage	10–13	-0.04	18%	2 Oct →
office	7–12	0.03	5%	2 Oct →
office	8–13	0.00	13%	2 Oct →
vertigo	3–9	-0.15	9%	2 Oct →
office	13–7	-0.12	15%	2 Oct →
ancient	13–16	-0.05	10%	2 Oct →
mirage	10–13	-0.07	22%	25 Sept →
inferno	11–13	0.06	12%	24 Sept →
anubis	16–14	-0.01	11%	24 Sept →
dust2	4–13	-0.08	13%	23 Sept →
nuke	10–13	-0.02	10%	23 Sept →
anubis	6–13	-0.08	10%	23 Sept →
ancient	13–9	0.01	12%	23 Sept →
inferno	8–13	0.02	15%	23 Sept →
mirage	11–13	-0.05	13%	22 Sept →
dust2	13–6	0.00	28%	22 Sept →
anubis	9–13	0.02	20%	22 Sept →
mirage	16–13	-0.02	10%	21 Sept →
dust2	5–13	-0.08	22%	21 Sept →
nuke	6–13	-0.04	16%	21 Sept →
ancient	10–13	0.05	11%	21 Sept →
dust2	11–13	-0.00	13%	20 Sept →