67

67 — CS2 Stats

76561198058745074[U:1:98479346]Steam profile ↗✓ No bans

116Tracked matches30%Win rate2026Tracked since
584Hours in CS7Hrs last 2 wks
CSDB Rating2.3 LearningPositional Player
Premier CS Rating11,179Blue band · top ~48.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (6 days ago). 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: 11,179 -1,648 6 Aug – 23 Sept · 15 days played
11,17915,389peak 15,3896 Aug23 Sept
15,507Peak Premier in tracked matches
26Days played since 2026-06-27

Premier CS Rating

  • 4,210 below peak (15,389)
  • -1,348 over 30 days · declining
  • Next: Purple band at 15,000 — 3,821 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.4%41.9%44.3%10.0% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.110.981.03above
Match win rate53.0%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GG67PREMIER11,179 · Blue bandcsdb.gg/stats

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Performance scores

Aim35
Positioning52
Utility2

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLLWLLLWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.8pp headshot accuracy · −50ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 552ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 527ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

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 (+2.6 against its own average).

Aim3.5
Utility0.2
Positioning5.2
Opening Duels2.3

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

s1mple

Plays most like s1mple 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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

Reaction time. 550ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 53% 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

Aim3.5
Positioning5.2
Utility0.2
Mechanics0.7
Opening Duels2.2
Win Impact0.0

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time560ms−32ms
first ⅓ avg 592ms → last ⅓ avg 560ms
Headshot accuracy12.1%+2.3%
first ⅓ avg 9.8% → last ⅓ avg 12.1%

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

0.13Best match rating · 13–3 · nuke, 7 Aug →
26%Best headshot accuracy · 7–1 · nuke, 2 Aug →
406msFastest reaction time · 4–13 · nuke, 20 Sept →
13–0Biggest win · nuke, 25 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
2–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 70% over 20anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeS2014–670%0.01
mirageC188–1044%0.01
dust2C177–1041%0.02
infernoA138–562%0.02
ancientC104–640%-0.02
cacheD93–633%0.02
anubisD51–420%0.02
vertigo—32–167%-0.02
office—22–0100%0.00
train—11–0100%0.04
italy—10–10%0.01
overpass—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

1,859Lifetime kills
1.11K/D · Top 25% of Blue band
117Matches
53.0%Match win rate · Top 5% of Blue band
34.4%Headshot %
0.0%Shot accuracy
274MVPs
44Hours (in match)
177Bombs planted
31Bombs defused

Most-used weapons

Lifetime map wins

261nuke
164dust2
149inferno
59vertigo
33office
29train
20italy

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.

12.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.6%Spray accuracy
53.1%Counter-strafing
10.8°Preaim
550msReaction time
38.6%T opening success
39.1%CT opening success
0.01Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.09Flashes / 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 12.0359% — below the 15% mark we flag

    Aim Training →
  2. 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 0.0128 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.5832% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.0114%23 Sept →
nuke4–13-0.0813%20 Sept →
mirage6–13-0.0518%20 Sept →
inferno13–70.0719%20 Sept →
cache10–130.0411%20 Sept →
inferno10–130.038%20 Sept →
ancient10–13-0.0216%20 Sept →
mirage16–120.0111%16 Sept →
mirage11–13-0.026%16 Sept →
cache13–100.1212%16 Sept →
inferno11–20.0119%13 Sept →
ancient9–13-0.029%12 Sept →
anubis11–130.058%10 Sept →
nuke12–160.037%10 Sept →
mirage11–130.0824%8 Sept →
mirage13–7-0.046%8 Sept →
inferno5–13-0.0216%8 Sept →
mirage13–70.0011%27 Aug →
nuke13–70.0617%27 Aug →
dust23–13-0.0216%27 Aug →
ancient6–13-0.0610%27 Aug →
inferno8–13-0.0212%27 Aug →
inferno13–40.1110%19 Aug →
nuke13–90.077%19 Aug →
mirage9–13-0.0121%19 Aug →
inferno0–13-0.1113%19 Aug →
cache7–130.0414%19 Aug →
inferno0–13-0.046%19 Aug →
anubis14–16-0.044%18 Aug →
ancient13–16-0.0312%17 Aug →
ancient8–13-0.075%17 Aug →
dust211–130.0214%17 Aug →
cache9–13-0.0311%14 Aug →
inferno6–1-0.0113%14 Aug →
nuke13–5-0.055%14 Aug →
nuke11–70.035%14 Aug →
cache13–5-0.047%14 Aug →
ancient10–13-0.089%14 Aug →
dust22–13-0.0725%14 Aug →
nuke10–13-0.1217%14 Aug →
dust25–13-0.054%10 Aug →
nuke13–60.0417%10 Aug →
mirage13–50.119%10 Aug →
nuke13–30.1316%7 Aug →
inferno13–40.088%7 Aug →
cache13–50.0611%7 Aug →
nuke13–5-0.0814%7 Aug →
dust213–70.025%7 Aug →
inferno13–30.0122%6 Aug →
ancient13–70.025%6 Aug →
mirage9–13-0.039%6 Aug →
nuke16–14-0.0217%6 Aug →
dust213–60.0120%6 Aug →
anubis0–13-0.0312%2 Aug →
nuke7–10.0226%2 Aug →
mirage11–130.036%30 Jul →
nuke13–60.0518%30 Jul →
mirage13–80.0113%29 Jul →
dust216–120.1112%29 Jul →
dust27–130.1011%29 Jul →
dust211–130.0920%29 Jul →
dust211–130.029%28 Jul →
dust213–40.0211%28 Jul →
nuke10–13-0.0512%28 Jul →
mirage13–1-0.018%28 Jul →
mirage12–160.0313%28 Jul →
nuke13–60.1211%28 Jul →
dust28–130.027%28 Jul →
ancient13–100.0424%28 Jul →
anubis13–70.118%28 Jul →
dust213–8-0.0016%25 Jul →
cache7–13-0.0013%25 Jul →
dust27–13-0.0412%25 Jul →
inferno13–10.069%25 Jul →
nuke13–00.000%25 Jul →
ancient13–10-0.029%17 Jul →
vertigo13–6-0.110%17 Jul →
mirage3–130.0211%17 Jul →
nuke13–50.0710%17 Jul →
dust213–20.075%1 Jul →
mirage13–00.0320%1 Jul →
dust25–130.119%30 Jun →
nuke1–130.004%30 Jun →
mirage10–130.027%30 Jun →
train13–80.047%29 Jun →
dust213–0-0.0114%29 Jun →
mirage13–60.0814%29 Jun →
italy7–130.018%29 Jun →
cache12–120.046%29 Jun →
office13–50.0110%29 Jun →
mirage5–13-0.033%29 Jun →
nuke12–12-0.0118%28 Jun →
vertigo13–100.015%28 Jun →
vertigo9–130.028%28 Jun →
inferno13–90.0410%28 Jun →
overpass7–13-0.0710%27 Jun →
nuke13–20.0510%27 Jun →
office13–6-0.0012%27 Jun →
anubis2–130.0317%27 Jun →
ancient13–110.019%27 Jun →

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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