67

67 — CS2 Stats

76561198056113505[U:1:95847777]Steam profile ↗✓ No bans

580Tracked matches45%Win rate2024Tracked since
1,658Hours in CS7Hrs last 2 wks
CSDB Rating2.8 LearningPositional Player
Premier CS Rating15,666Purple band · top ~25.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−99Premier CS Rating · 15,765 → 15,666

Rating over time

Premier CS Rating: 15,666 +3,627 9 Jun – 28 Sept · 26 days played
10,21418,891peak 18,8919 Jun28 Sept
18,931Peak Premier in tracked matches
35Days played since 2026-06-09

Premier CS Rating

  • 3,225 below peak (18,891)
  • -1,330 over 30 days · declining
  • +4,478 over 90 days
  • Next: Pink band at 20,000 — 4,334 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate33.5%44.3%46.9%13.4% short
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.071.031.08meets
Match win rate51.4%45.2%46.7%above

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

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

Share this profile

CSDB.GG67PREMIER15,666 · Purple bandcsdb.gg/stats

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Performance scores

Aim28
Positioning56
Utility6

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWLLLWWLWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −10.3pp headshot accuracy · +11ms reaction

Win rate up 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 586ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 625ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

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 (+2.4 against its own average).

Aim2.8
Utility0.6
Positioning5.6
Opening Duels3.4

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

donk

Plays most like donk 71% 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

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim2.8
Positioning5.6
Utility0.6
Mechanics1.3
Opening Duels2.6
Win Impact3.3

Composite 2.8/10 (Learning), 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 rating-0.02−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time613ms−19ms
first ⅓ avg 632ms → last ⅓ avg 613ms
Headshot accuracy15.8%+3.5%
first ⅓ avg 12.3% → last ⅓ avg 15.8%

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

0.12Best match rating · 13–4 · vertigo, 2 Aug →
100%Best headshot accuracy · 0–13 · inferno, 27 Aug →
391msFastest reaction time · 13–7 · nuke, 20 Aug →
13–0Biggest win · office, 26 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.01
mirageB1910–953%-0.02
nukeA149–564%-0.02
ancientC125–742%-0.03
infernoS96–367%-0.01
anubisA74–357%0.02
cacheD51–420%-0.04
vertigo—42–250%0.03
train—21–150%-0.02
overpass—21–150%-0.00
office—11–0100%-0.02
shelter—11–0100%0.03
fachwerk—11–0100%-0.04
warden—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

10,409Lifetime kills
1.07K/D · Top 50% of Purple band
656Matches
51.4%Match win rate · Top 10% of Purple band
33.5%Headshot %
0.0%Shot accuracy
1,489MVPs
244Hours (in match)
1,080Bombs planted
121Bombs defused

Most-used weapons

Lifetime map wins

1,613dust2
1,048nuke
889inferno
163train
157vertigo
34office
26italy
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.

15.0%Headshot accuracy
26.9%Accuracy (enemy spotted)
32.1%Spray accuracy
55.6%Counter-strafing
10.8°Preaim
596msReaction time
27.6%T opening success
51.0%CT opening success
0.15Enemies flashed / flash
6.0%Flash assists
0.55HE damage / grenade
0.41Flashes / 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. 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 0.1455 — below the 0.5 mark we flag

    Grenade Lineups →
  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 27.6436% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.047%28 Sept →
mirage13–100.0313%28 Sept →
inferno10–13-0.0312%27 Sept →
cache3–13-0.0713%26 Sept →
dust22–130.0718%26 Sept →
nuke13–100.0212%26 Sept →
office13–0-0.0214%26 Sept →
mirage10–13-0.0010%18 Sept →
dust213–70.0217%18 Sept →
dust213–110.0314%18 Sept →
nuke0–13-0.0431%18 Sept →
nuke13–1-0.0114%18 Sept →
nuke9–130.0018%12 Sept →
dust216–14-0.0317%12 Sept →
cache8–13-0.0514%12 Sept →
mirage6–13-0.097%27 Aug →
inferno0–13-0.08100%27 Aug →
nuke15–15-0.0219%26 Aug →
ancient10–130.019%26 Aug →
dust213–20.024%26 Aug →
inferno13–10.037%25 Aug →
mirage3–13-0.0714%25 Aug →
dust213–6-0.026%25 Aug →
ancient3–13-0.0326%25 Aug →
mirage7–13-0.0215%25 Aug →
inferno13–70.0312%25 Aug →
dust22–13-0.0321%24 Aug →
dust25–130.0412%24 Aug →
nuke13–40.0315%24 Aug →
ancient13–11-0.040%24 Aug →
dust22–13-0.0921%24 Aug →
dust20–13-0.070%24 Aug →
nuke13–10-0.018%23 Aug →
inferno13–80.0516%23 Aug →
ancient13–9-0.037%22 Aug →
mirage13–80.066%22 Aug →
inferno9–13-0.0413%22 Aug →
cache13–100.0011%22 Aug →
mirage11–13-0.1017%21 Aug →
nuke10–13-0.0210%20 Aug →
ancient14–16-0.069%20 Aug →
mirage13–00.018%20 Aug →
nuke13–7-0.1217%20 Aug →
inferno16–14-0.0317%20 Aug →
mirage13–10.017%20 Aug →
ancient5–13-0.0811%18 Aug →
cache4–13-0.0414%18 Aug →
dust210–13-0.067%17 Aug →
mirage13–11-0.0112%17 Aug →
ancient5–13-0.005%17 Aug →
dust25–13-0.0423%17 Aug →
ancient0–13-0.0721%17 Aug →
mirage11–13-0.0715%17 Aug →
nuke13–60.0110%15 Aug →
inferno13–9-0.0412%15 Aug →
dust24–130.0313%15 Aug →
mirage1–13-0.040%12 Aug →
mirage13–6-0.047%12 Aug →
anubis9–13-0.0310%10 Aug →
dust213–100.0213%9 Aug →
nuke13–40.025%9 Aug →
ancient8–13-0.074%9 Aug →
mirage13–30.0314%9 Aug →
dust213–11-0.0216%6 Aug →
vertigo13–40.1215%2 Aug →
vertigo6–13-0.0013%2 Aug →
dust213–6-0.0220%1 Aug →
vertigo3–13-0.0514%1 Aug →
vertigo4–00.0460%1 Aug →
dust22–13-0.0614%1 Aug →
mirage13–4-0.069%27 Jul →
shelter13–100.039%27 Jul →
dust213–6-0.0019%27 Jul →
mirage13–60.0418%27 Jul →
mirage13–110.016%17 Jul →
train3–00.000%17 Jul →
fachwerk2–3-0.040%17 Jul →
nuke13–11-0.0611%3 Jul →
cache9–13-0.0313%2 Jul →
train5–13-0.0410%2 Jul →
nuke16–130.0214%29 Jun →
anubis13–100.0810%29 Jun →
ancient16–14-0.059%27 Jun →
anubis13–30.065%27 Jun →
anubis5–13-0.0312%27 Jun →
inferno13–40.069%27 Jun →
dust27–13-0.1011%22 Jun →
dust29–13-0.0010%22 Jun →
ancient13–110.0011%18 Jun →
overpass11–130.049%14 Jun →
dust23–130.081%12 Jun →
warden13–4-0.029%12 Jun →
mirage11–13-0.0511%11 Jun →
mirage0–13-0.0711%11 Jun →
anubis13–100.0613%11 Jun →
dust213–10.069%11 Jun →
anubis13–10.0324%10 Jun →
anubis12–160.0113%10 Jun →
overpass13–7-0.0512%9 Jun →
ancient13–60.0118%9 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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