:)

:) — CS2 Stats

EE76561199219038516[U:1:1258772788]Steam profile ↗✓ No bans

149Tracked matches41%Win rate2025Tracked since
93Hours in CS
CSDB Rating3.8 LearningSupport
Premier CS Rating6,630Light Blue band · top ~71% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 149 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,630 +1,210 20 Nov – 24 Sept · 28 days played
5,0009,999peak 9,99920 Nov24 Sept
9,999Peak Premier in tracked matches
42Days played since 2025-11-19

Premier CS Rating

  • 3,369 below peak (9,999)
  • Next: Blue band at 10,000 — 3,370 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-24

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

No matches recorded between 24 Sep 2026 and 27 Oct 2026.

Measured 24 Sep 2026 → 27 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.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.6%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.770.920.980.21 short
Match win rate42.9%42.3%43.8%0.9% 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.

Share this profile

CSDB.GG:)PREMIER6,630 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning41
Utility49

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateLLLTWLLWLL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −1.1pp headshot accuracy · +62ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 636ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 677ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 646ms

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 (+1.9 against its own average).

Aim5.1
Utility4.9
Positioning4.1
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 42% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 643ms 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

Aim5.1
Positioning4.1
Utility4.9
Mechanics5.2
Opening Duels1.5
Win Impact2.1

Composite 3.8/10 (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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time648ms−8ms
first ⅓ avg 657ms → last ⅓ avg 648ms
Headshot accuracy12.5%−0.0%
first ⅓ avg 12.6% → last ⅓ avg 12.5%

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

0.19Best match rating · 9–5 · nuke, 10 Feb →
50%Best headshot accuracy · 9–5 · nuke, 10 Feb →
445msFastest reaction time · 1–13 · ancient, 20 Feb →
13–0Biggest win · train, 25 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 60% over 10ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC3313–2039%-0.02
nukeC176–1135%0.01
infernoB168–850%0.00
ancientD112–918%-0.05
anubisD102–820%-0.03
dust2A106–460%-0.04
warden—10–10%-0.08
train—11–0100%0.12
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,357Lifetime kills
0.77K/D
296Matches
42.9%Match win rate · Top 50% of Light Blue band
43.6%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
413MVPs
93Hours (in match)
164Bombs planted
61Bombs defused

Most-used weapons

Lifetime map wins

492inferno
346nuke
336dust2
145vertigo
61train
20office
1ar_shoots

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.

12.5%Headshot accuracy
31.1%Accuracy (enemy spotted)
35.1%Spray accuracy
73.3%Counter-strafing
7.9°Preaim
643msReaction time
18.3%T opening success
41.8%CT opening success
0.61Enemies flashed / flash
9.5%Flash assists
6.22HE damage / grenade
5.07Flashes / 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.

  1. 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 12.5138% — below the 15% mark we flag

    Aim Training →
  2. 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 18.3277% — below the 40% mark we flag

Spend your practice time on Ancient

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
warden2–13-0.0831%18 Mar →
ancient3–13-0.077%13 Mar →
nuke8–13-0.0513%11 Mar →
inferno15–15-0.037%11 Mar →
mirage13–110.0214%11 Mar →
anubis10–13-0.0310%10 Mar →
anubis10–13-0.0411%10 Mar →
mirage13–4-0.0610%10 Mar →
ancient4–13-0.059%8 Mar →
mirage3–13-0.047%8 Mar →
mirage8–13-0.0312%8 Mar →
inferno5–13-0.0716%8 Mar →
inferno5–13-0.0312%6 Mar →
nuke13–40.0113%6 Mar →
inferno9–130.0312%4 Mar →
inferno7–90.038%4 Mar →
mirage13–20.1415%4 Mar →
mirage7–130.0122%3 Mar →
anubis9–13-0.0213%3 Mar →
nuke13–50.017%2 Mar →
anubis10–2-0.037%2 Mar →
mirage13–50.0920%2 Mar →
inferno13–40.056%2 Mar →
mirage11–13-0.0422%27 Feb →
mirage3–13-0.0917%27 Feb →
dust213–6-0.070%27 Feb →
nuke10–13-0.0711%26 Feb →
nuke8–130.0112%26 Feb →
train13–00.1216%25 Feb →
mirage13–70.029%23 Feb →
nuke13–30.1017%22 Feb →
inferno9–13-0.0216%20 Feb →
inferno3–13-0.0711%20 Feb →
inferno13–10-0.0012%20 Feb →
mirage13–30.008%20 Feb →
ancient1–13-0.0813%20 Feb →
inferno9–70.0715%20 Feb →
mirage10–13-0.069%18 Feb →
nuke6–13-0.0712%18 Feb →
anubis5–130.0213%18 Feb →
inferno9–00.1427%18 Feb →
dust213–9-0.085%18 Feb →
mirage15–150.0115%17 Feb →
inferno13–70.0214%16 Feb →
inferno13–100.0115%16 Feb →
anubis9–13-0.078%16 Feb →
ancient3–13-0.056%16 Feb →
mirage7–13-0.0719%13 Feb →
nuke3–13-0.0514%13 Feb →
mirage13–11-0.018%13 Feb →
mirage6–13-0.0822%13 Feb →
nuke11–130.038%13 Feb →
nuke4–13-0.0525%13 Feb →
ancient16–13-0.059%12 Feb →
mirage13–10-0.028%10 Feb →
mirage8–13-0.057%10 Feb →
anubis11–13-0.0317%10 Feb →
nuke13–1-0.000%10 Feb →
mirage11–13-0.0010%10 Feb →
nuke9–50.1950%10 Feb →
mirage0–13-0.055%10 Feb →
dust213–100.0210%9 Feb →
nuke8–80.0819%9 Feb →
anubis1–13-0.0815%6 Feb →
mirage13–2-0.040%6 Feb →
inferno13–100.0412%6 Feb →
dust26–13-0.0817%5 Feb →
mirage6–13-0.0320%5 Feb →
ancient6–13-0.094%4 Feb →
nuke10–13-0.0818%4 Feb →
ancient13–8-0.0110%28 Jan →
dust213–40.0014%26 Jan →
anubis13–5-0.019%26 Jan →
ancient13–16-0.0417%25 Jan →
dust213–5-0.016%25 Jan →
mirage9–13-0.0517%25 Jan →
nuke11–13-0.0113%25 Jan →
mirage13–11-0.0513%23 Jan →
inferno8–13-0.120%11 Jan →
mirage7–13-0.0520%23 Dec →
mirage13–70.0112%19 Dec →
vertigo13–6-0.018%18 Dec →
mirage10–130.0617%10 Dec →
mirage13–70.079%30 Nov →
inferno9–30.007%30 Nov →
nuke13–30.1313%30 Nov →
nuke12–12-0.0516%28 Nov →
mirage13–10-0.0016%26 Nov →
anubis12–12-0.0214%26 Nov →
mirage3–13-0.057%25 Nov →
dust213–6-0.0116%25 Nov →
ancient6–13-0.0810%25 Nov →
dust25–13-0.0916%22 Nov →
mirage5–130.0020%21 Nov →
ancient2–13-0.033%21 Nov →
mirage7–13-0.062%21 Nov →
dust212–12-0.0523%21 Nov →
mirage0–13-0.0815%20 Nov →
dust23–13-0.0618%20 Nov →
ancient7–130.0011%19 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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