207

207 — CS2 Stats

GB76561199173874193[U:1:1213608465]Steam profile ↗✓ No bans

2,841Tracked matches50%Win rate2021Tracked since
4,361Hours in CS24Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
Premier CS Rating16,314Purple band · top ~23.2% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 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: 16,314 +2,660 2 Sept – 28 Oct · 33 days played
12,65317,341peak 17,3412 Sept28 Oct
17,598Peak Premier in tracked matches
34Days played since 2026-09-02

Premier CS Rating

  • 1,027 below peak (17,341)
  • +3,542 over 30 days · improving
  • Next: Pink band at 20,000 — 3,686 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-19
  • Light Blue band first seen 2026-09-19

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.1%44.8%45.7%1.6% short
Shot accuracy7.7%12.4%12.7%5.0% short
Kill/death ratio0.951.031.050.10 short
Match win rate44.4%45.2%45.7%1.3% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG207FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER16,314 · Purple 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

Aim54
Positioning50
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWLLWLWLWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · −67ms reaction

Win rate up 30pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 548ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 611ms

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 (+2.4 against its own average).

Aim5.4
Utility6.4
Positioning5.0
Opening Duels0.5
Clutch4.2

Effective flashes

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

iM

Plays most like iM 66% 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

Reaction time. 605ms 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

Aim5.4
Positioning5.0
Utility6.4
Mechanics4.8
Opening Duels2.6
Win Impact5.0

Composite 5.1/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time607ms+22ms
first ⅓ avg 586ms → last ⅓ avg 607ms
Headshot accuracy17.6%−1.1%
first ⅓ avg 18.7% → last ⅓ avg 17.6%

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

0.18Best match rating · 13–9 · dust2, 7 Sept →
33%Best headshot accuracy · 6–13 · dust2, 12 Oct →
406msFastest reaction time · 11–13 · anubis, 14 Sept →
13–1Biggest win · anubis, 23 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 73% over 15dust2Weakest map · 33% over 30
MapGradePlayedRecordWin rateAvg rating
dust2D3010–2033%0.01
nukeS1511–473%0.02
anubisA138–562%0.01
ancientA116–555%0.02
mirageB115–645%-0.01
infernoB105–550%0.01
cacheD93–633%-0.02
train—10–10%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,409Lifetime kills
0.95K/D
5,653Matches
44.4%Match win rate
44.1%Headshot %
7.7%Shot accuracy
9,814MVPs
2,300Hours (in match)
8,561Bombs planted
1,294Bombs defused

Most-used weapons

Lifetime map wins

11,865dust2
8,557inferno
6,793nuke
2,618vertigo
907train
745office
190aztec
189italy

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

Faceit stats

Combat

294Matches
50%Win rate
0.95Avg K/D
73.1ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2843%0.8912.6
Nuke2241%0.8613.6
Anubis2162%1.0313.6
Ancient1656%1.0415.4
Dust21650%1.0715.3
Inferno1464%1.0113.9
Vertigo617%0.8414.5
Overpass450%0.7612.8

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.

17.5%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.6%Spray accuracy
71.5%Counter-strafing
10.9°Preaim
605msReaction time
42.8%T opening success
38.1%CT opening success
0.71Enemies flashed / flash
6.4%Flash assists
12.05HE damage / grenade
10.84Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 38.1281% — below the 40% mark we flag

Spend your practice time on Dust 2

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 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0418%28 Oct →
ancient10–13-0.0028%28 Oct →
inferno9–130.0120%28 Oct →
dust213–110.0123%28 Oct →
mirage7–13-0.068%27 Oct →
cache16–140.0021%27 Oct →
dust26–13-0.0424%24 Oct →
anubis13–9-0.0019%23 Oct →
cache11–13-0.049%22 Oct →
mirage13–90.018%22 Oct →
inferno9–13-0.0218%22 Oct →
mirage13–100.019%21 Oct →
nuke13–20.0521%21 Oct →
cache12–12-0.019%21 Oct →
dust214–16-0.0115%14 Oct →
mirage3–13-0.0116%12 Oct →
dust26–130.0133%12 Oct →
nuke6–130.0224%12 Oct →
anubis11–130.0121%12 Oct →
dust27–13-0.0322%12 Oct →
anubis13–30.0716%12 Oct →
dust26–13-0.0421%11 Oct →
cache13–10-0.0113%11 Oct →
train12–120.0420%7 Oct →
dust211–13-0.0312%5 Oct →
ancient13–40.0615%5 Oct →
anubis13–8-0.0219%5 Oct →
ancient13–100.0313%5 Oct →
nuke13–110.1021%5 Oct →
anubis13–100.1316%4 Oct →
nuke13–100.0614%4 Oct →
dust29–13-0.0114%3 Oct →
nuke10–13-0.0022%2 Oct →
dust213–9-0.0612%2 Oct →
nuke10–13-0.0211%2 Oct →
ancient13–100.0620%1 Oct →
nuke13–40.0130%1 Oct →
anubis13–70.0723%1 Oct →
ancient9–130.1116%1 Oct →
inferno13–70.0814%1 Oct →
inferno13–6-0.016%1 Oct →
nuke13–100.0012%1 Oct →
dust213–90.0113%1 Oct →
anubis13–90.0620%30 Sept →
nuke13–70.026%29 Sept →
dust26–130.0711%27 Sept →
mirage13–80.0329%27 Sept →
dust215–150.0212%24 Sept →
dust27–13-0.0215%24 Sept →
mirage7–13-0.0728%24 Sept →
cache11–13-0.0511%24 Sept →
cache11–13-0.0513%23 Sept →
anubis13–10.0010%23 Sept →
mirage15–150.0219%22 Sept →
ancient5–13-0.069%19 Sept →
dust210–130.0314%19 Sept →
ancient6–13-0.0217%19 Sept →
mirage5–13-0.0512%19 Sept →
dust213–160.0112%17 Sept →
inferno4–130.0225%17 Sept →
inferno13–8-0.0015%15 Sept →
dust213–80.1325%14 Sept →
dust213–60.0220%14 Sept →
anubis11–13-0.0413%14 Sept →
ancient13–7-0.0218%14 Sept →
cache3–13-0.0711%13 Sept →
cache13–70.0629%13 Sept →
ancient13–9-0.0120%13 Sept →
anubis16–13-0.0329%13 Sept →
dust28–13-0.0519%9 Sept →
inferno6–13-0.0013%9 Sept →
anubis10–13-0.0123%8 Sept →
dust27–13-0.0021%8 Sept →
anubis11–13-0.067%7 Sept →
dust213–90.1816%7 Sept →
dust22–13-0.1113%7 Sept →
dust211–130.0222%7 Sept →
nuke13–110.0014%6 Sept →
nuke13–6-0.0314%6 Sept →
dust213–40.0618%6 Sept →
mirage13–16-0.0316%6 Sept →
nuke13–90.019%6 Sept →
dust213–100.0415%6 Sept →
inferno13–80.0824%6 Sept →
nuke16–120.0527%5 Sept →
dust210–13-0.0226%4 Sept →
mirage13–80.0124%4 Sept →
ancient6–13-0.0412%3 Sept →
dust27–130.1130%3 Sept →
mirage13–80.0019%3 Sept →
anubis2–13-0.0313%3 Sept →
dust213–90.0324%3 Sept →
ancient13–100.0713%3 Sept →
dust27–130.0118%3 Sept →
dust29–130.0312%2 Sept →
nuke8–13-0.0824%2 Sept →
cache9–13-0.0511%2 Sept →
inferno7–13-0.0522%2 Sept →
dust213–30.0121%2 Sept →
nuke13–70.0728%2 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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