1

1 — CS2 Stats

ET76561198952425456[U:1:992159728]Steam profile ↗✓ No bans

583Tracked matches40%Win rate2020Tracked since
1,209Hours in CS4Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating6,064Light Blue band · top ~73.7% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 6,064 → 6,064
+1Tracked matches · now 583
+3.3ppWin rate · 36.7% → 40.0%

Rating over time

Premier CS Rating: 6,064 -2,663 2 Aug – 11 Nov · 54 days played
5,7049,688peak 9,6882 Aug11 Nov
9,781Peak Premier in tracked matches
57Days played since 2026-08-02

Premier CS Rating

  • 3,624 below peak (9,688)
  • -518 over 30 days · declining
  • -2,513 over 90 days
  • Next: Blue band at 10,000 — 3,936 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-10

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 Level 1 among CSDB-tracked players (n=2,367), 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 playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate37.5%40.9%41.3%3.8% short
Shot accuracy13.8%14.2%12.7%above
Kill/death ratio0.950.950.95meets
Match win rate44.5%42.1%42.6%above

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG1FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER6,064 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning54
Utility33

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateWLLLWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +6.1pp headshot accuracy · +41ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 617ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 634ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 614ms

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 (+2.5 against its own average).

Aim7.6
Utility3.3
Positioning5.4
Opening Duels2.8
Clutch0.0

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 87% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

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

Reaction time. 633ms 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

Aim7.6
Positioning5.4
Utility3.3
Mechanics7.8
Opening Duels3.5
Win Impact1.7

Composite 5.0/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time635ms−9ms
first ⅓ avg 644ms → last ⅓ avg 635ms
Headshot accuracy16.0%+1.8%
first ⅓ avg 14.2% → last ⅓ avg 16.0%

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

0.16Best match rating · 13–5 · ancient, 18 Aug →
43%Best headshot accuracy · 4–13 · mirage, 25 Sept →
430msFastest reaction time · 4–1 · mirage, 21 Oct →
13–0Biggest win · dust2, 15 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%0.02
dust2C218–1338%0.02
anubisC146–843%0.03
nukeC125–742%0.02
infernoD124–833%0.01
ancientS107–370%0.03
cache—41–325%-0.01
office—20–20%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,091Lifetime kills
0.95K/D
1,596Matches
44.5%Match win rate · Top 50% of Level 1 players
37.5%Headshot %
13.8%Shot accuracy
4,096MVPs
647Hours (in match)
1,257Bombs planted
358Bombs defused

Most-used weapons

Lifetime map wins

2,654dust2
1,720inferno
1,454nuke
661vertigo
503train
191cbble
67lake
50office

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

Faceit stats

Combat

17Matches
53%Win rate
0.97Avg K/D
67.8ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2100%0.9013.0
Inferno1100%0.7016.0
Mirage1100%0.8214.0

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.

15.3%Headshot accuracy
38.8%Accuracy (enemy spotted)
39.0%Spray accuracy
85.1%Counter-strafing
8.7°Preaim
633msReaction time
43.2%T opening success
44.7%CT opening success
0.53Enemies flashed / flash
6.5%Flash assists
10.85HE damage / grenade
3.85Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.848 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0717%11 Nov →
inferno11–13-0.0211%7 Nov →
anubis8–13-0.0122%6 Nov →
nuke8–130.0225%5 Nov →
ancient13–2-0.0021%4 Nov →
ancient3–13-0.0331%1 Nov →
dust211–130.0616%1 Nov →
dust211–130.1214%30 Oct →
nuke6–130.0112%26 Oct →
cache7–13-0.0316%25 Oct →
inferno13–16-0.0316%23 Oct →
dust24–130.0115%23 Oct →
dust24–13-0.0912%22 Oct →
anubis13–100.0110%22 Oct →
anubis6–130.0215%22 Oct →
nuke13–7-0.0013%21 Oct →
inferno6–130.0413%21 Oct →
dust213–16-0.0413%21 Oct →
mirage4–1-0.060%21 Oct →
mirage13–10.1117%21 Oct →
inferno13–110.0213%20 Oct →
inferno2–13-0.0217%19 Oct →
nuke16–12-0.0315%19 Oct →
ancient11–50.1025%19 Oct →
mirage16–140.0517%19 Oct →
anubis7–130.048%18 Oct →
dust214–16-0.048%18 Oct →
anubis13–40.0311%14 Oct →
nuke13–60.0023%14 Oct →
mirage2–13-0.096%12 Oct →
nuke8–130.0935%6 Oct →
anubis14–16-0.008%30 Sept →
anubis5–130.1230%30 Sept →
mirage6–13-0.0323%29 Sept →
inferno13–80.0422%28 Sept →
ancient13–80.049%28 Sept →
dust26–130.0125%28 Sept →
cache13–7-0.0413%27 Sept →
mirage4–13-0.0543%25 Sept →
dust210–130.0414%24 Sept →
inferno13–60.019%24 Sept →
inferno6–2-0.0115%24 Sept →
mirage2–13-0.0710%23 Sept →
dust213–10.0827%23 Sept →
mirage13–80.109%22 Sept →
ancient13–80.0215%20 Sept →
dust20–13-0.0338%20 Sept →
dust211–130.0422%19 Sept →
ancient1–13-0.0115%16 Sept →
mirage13–60.0113%12 Sept →
inferno4–130.0617%10 Sept →
anubis13–60.0411%8 Sept →
mirage13–90.0712%6 Sept →
ancient13–40.014%4 Sept →
anubis15–150.0412%4 Sept →
anubis4–130.0417%3 Sept →
dust212–120.0512%3 Sept →
mirage4–13-0.0310%31 Aug →
mirage11–130.0411%28 Aug →
cache11–130.049%27 Aug →
mirage6–130.0711%26 Aug →
ancient13–100.0313%23 Aug →
mirage7–130.0113%23 Aug →
nuke7–130.1014%23 Aug →
office2–13-0.0721%22 Aug →
dust26–13-0.0223%21 Aug →
mirage3–130.1013%20 Aug →
nuke4–130.0328%20 Aug →
mirage2–13-0.0714%20 Aug →
anubis4–13-0.0211%20 Aug →
inferno10–13-0.015%20 Aug →
mirage8–130.0517%19 Aug →
ancient13–50.169%18 Aug →
nuke10–130.0921%18 Aug →
anubis13–50.0216%18 Aug →
dust213–90.018%17 Aug →
dust213–30.0213%17 Aug →
nuke13–90.0129%17 Aug →
anubis13–40.1010%16 Aug →
mirage13–90.0414%16 Aug →
mirage8–13-0.026%15 Aug →
dust213–00.0913%15 Aug →
ancient1–13-0.0112%15 Aug →
inferno5–9-0.0210%14 Aug →
mirage13–60.0611%14 Aug →
office7–13-0.0410%13 Aug →
inferno2–130.008%12 Aug →
dust213–20.0317%12 Aug →
dust25–130.0118%11 Aug →
mirage8–13-0.0019%10 Aug →
cache10–130.0120%9 Aug →
mirage13–30.0711%9 Aug →
dust216–140.0016%9 Aug →
mirage13–20.0425%6 Aug →
dust216–140.0715%6 Aug →
mirage5–13-0.019%3 Aug →
mirage8–130.1013%2 Aug →
anubis13–80.0313%2 Aug →
dust213–50.0320%2 Aug →
nuke8–130.0114%2 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.