´s

´s — CS2 Stats

76561198014081465[U:1:53815737]Steam profile ↗✓ No bans

1,758Tracked matches39%Win rate2021Tracked since
2,322Hours in CS2Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating20,867Top 50% of 200,982 CSDB-tracked playersPink band · top ~7.5% of ranked players (population est.)
CSDB Leaderboard#68024 of 247859 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (21 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: 20,867 +5,314 5 May – 10 Sept · 28 days played
15,13220,976peak 20,9765 May10 Sept
20,976Peak Premier in tracked matches
43Days played since 2026-05-05

Premier CS Rating

  • 109 below peak (20,976)
  • +4,526 over 90 days
  • Next: Red band at 25,000 — 4,133 to go
  • Reached: Pink band · 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 Level 4 among CSDB-tracked players (n=13,989), 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 4 medianLevel 5 medianvs Level 5
Headshot rate58.0%42.7%43.8%above
Shot accuracy10.3%11.3%12.0%1.7% short
Kill/death ratio0.990.991.020.03 short
Match win rate40.7%43.9%44.7%4.0% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG´sFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,867 · Pink 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

Aim82
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY41–49–10Last 10041%Win rateLWLWWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −0.3pp headshot accuracy · −123ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 22%
  • Avg reaction 536ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 22%
  • Avg reaction 597ms

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 (+1.8 against its own average).

Aim8.2
Utility5.9
Positioning5.8
Opening Duels4.8
Clutch0.0

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

device

Plays most like device 97% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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 60% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim8.2
Positioning5.8
Utility5.9
Mechanics8.3
Opening Duels3.8
Win Impact1.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time588ms−28ms
first ⅓ avg 616ms → last ⅓ avg 588ms
Headshot accuracy21.0%+1.7%
first ⅓ avg 19.3% → last ⅓ avg 21.0%

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

0.28Best match rating · 9–0 · inferno, 22 May →
45%Best headshot accuracy · 9–13 · dust2, 2 Jun →
422msFastest reaction time · 8–8 · inferno, 19 Jul →
13–1Biggest win · nuke, 25 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 53% over 17ancientWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.04
nukeB179–853%0.05
ancientD173–1418%0.03
dust2C156–940%0.03
cacheD93–633%0.02
overpassB63–350%0.05
anubisC52–340%0.02
mirageC52–340%-0.01
italy—10–10%-0.02
sanctum—11–0100%0.10
train—11–0100%-0.01
vertigo—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,266Lifetime kills
0.99K/D
3,431Matches
40.7%Match win rate
58.0%Headshot % · Top 10% of Level 4 players
10.3%Shot accuracy
8,237MVPs
1,720Hours (in match)
2,326Bombs planted
654Bombs defused

Most-used weapons

AK-4727,229
AWP4,684
FAMAS1,493
MP71,112

Lifetime map wins

6,480inferno
5,595dust2
3,800nuke
867vertigo
643cbble
608train
153italy
117office

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

Faceit stats

Combat

57Matches
58%Win rate
1.22Avg K/D
59.4ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.8314.0
Nuke3100%1.1218.0
Ancient333%0.7111.7
Anubis2100%0.979.5
Vertigo2100%0.8415.5

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.

20.0%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.6%Spray accuracy
87.3%Counter-strafing
7.8°Preaim
591msReaction time
30.8%T opening success
59.8%CT opening success
0.61Enemies flashed / flash
5.1%Flash assists
13.37HE damage / grenade
8.46Flashes / 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

    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 30.7622% — 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 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0214%10 Sept →
inferno13–80.0420%31 Aug →
cache6–13-0.0321%31 Aug →
inferno13–90.0124%29 Aug →
nuke13–80.1519%29 Aug →
dust211–130.1126%26 Aug →
cache14–160.0627%25 Aug →
ancient13–110.0722%25 Aug →
dust29–130.0425%25 Aug →
nuke13–10.0919%25 Aug →
mirage16–12-0.0222%23 Aug →
inferno16–140.0216%22 Aug →
cache8–130.0118%9 Aug →
mirage4–13-0.039%9 Aug →
nuke9–40.2413%5 Aug →
inferno8–80.0930%5 Aug →
dust213–160.0019%5 Aug →
cache13–40.1025%5 Aug →
ancient4–130.0222%4 Aug →
cache1–13-0.0844%27 Jul →
nuke16–130.1223%20 Jul →
ancient15–150.1118%20 Jul →
ancient11–130.0914%20 Jul →
inferno5–130.0930%20 Jul →
inferno10–130.0318%20 Jul →
inferno8–80.078%19 Jul →
inferno3–90.0029%19 Jul →
inferno3–9-0.0433%19 Jul →
inferno3–9-0.039%19 Jul →
italy5–13-0.0219%18 Jul →
ancient6–130.0924%18 Jul →
mirage12–120.0619%18 Jul →
ancient0–13-0.0513%17 Jul →
inferno13–70.026%17 Jul →
cache13–50.0510%17 Jul →
anubis8–13-0.0516%17 Jul →
inferno4–130.0321%6 Jul →
anubis1–13-0.0316%6 Jul →
sanctum9–50.1024%4 Jul →
nuke8–80.0324%4 Jul →
inferno9–10.0625%4 Jul →
cache10–13-0.0120%4 Jul →
dust213–160.0422%4 Jul →
dust213–70.1333%4 Jul →
ancient9–130.0220%2 Jul →
anubis13–90.1318%30 Jun →
dust211–130.0621%29 Jun →
nuke13–7-0.0017%29 Jun →
inferno16–13-0.0015%29 Jun →
inferno16–140.0520%28 Jun →
nuke13–100.0821%28 Jun →
ancient7–13-0.0216%27 Jun →
dust213–4-0.0013%27 Jun →
ancient11–130.0221%25 Jun →
ancient16–12-0.0519%25 Jun →
nuke13–160.0120%24 Jun →
dust24–130.0324%22 Jun →
overpass9–60.2231%22 Jun →
nuke13–6-0.0320%21 Jun →
dust213–6-0.0313%16 Jun →
dust213–80.0814%14 Jun →
overpass12–120.0230%14 Jun →
train13–6-0.0128%14 Jun →
nuke4–130.019%13 Jun →
ancient7–130.0928%13 Jun →
ancient10–130.0216%11 Jun →
overpass13–8-0.0619%11 Jun →
inferno13–110.0216%7 Jun →
mirage6–13-0.0913%7 Jun →
ancient15–150.0111%7 Jun →
inferno7–130.0324%5 Jun →
overpass13–160.0217%5 Jun →
inferno7–130.0019%2 Jun →
dust29–13-0.0145%2 Jun →
overpass10–13-0.0221%31 May →
dust27–130.0224%29 May →
nuke5–13-0.0113%24 May →
nuke15–150.0417%24 May →
overpass13–110.0918%24 May →
inferno13–40.108%24 May →
ancient5–13-0.0115%24 May →
anubis13–80.0419%24 May →
dust213–70.0718%24 May →
ancient11–130.0517%24 May →
vertigo7–130.0017%23 May →
cache13–20.0420%23 May →
inferno13–80.0619%23 May →
nuke8–80.0734%22 May →
inferno9–00.2834%22 May →
dust216–120.0210%22 May →
cache12–120.0314%10 May →
nuke7–130.0317%10 May →
mirage13–70.0125%8 May →
nuke13–100.0820%8 May →
ancient8–130.0916%8 May →
nuke13–110.0518%8 May →
nuke5–13-0.0822%7 May →
ancient9–4-0.0418%7 May →
dust29–13-0.0820%6 May →
inferno5–13-0.0516%5 May →

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 →

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