What

What — CS2 Stats

US76561198997297922[U:1:1037032194]Steam profile ↗✓ No bans

900Tracked matches45%Win rate2020Tracked since
1,367Hours in CS
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 900 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,352 +3,758 30 Dec – 3 Jul · 19 days played
17,59423,417peak 23,41730 Dec3 Jul
23,910Peak Premier in tracked matches
36Days played since 2025-12-30

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 3 among CSDB-tracked players (n=10,259), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.0%41.8%42.7%meets
Shot accuracy12.3%12.2%11.3%above
Kill/death ratio1.090.980.99above
Match win rate48.2%43.3%43.9%above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GGWhatFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning38
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateLLLWLTWWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +6.3pp headshot accuracy · +73ms 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 20%
  • Avg reaction 585ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 658ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 621ms

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 (+1.5 against its own average).

Aim7.1
Utility3.1
Positioning3.8
Opening Duels0.0

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 594ms 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

Aim7.1
Positioning3.8
Utility3.1
Mechanics7.5
Opening Duels0.0
Win Impact3.3

Composite 4.8/10 (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 rating-0.02−0.05
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time601ms−4ms
first ⅓ avg 605ms → last ⅓ avg 601ms
Headshot accuracy22.3%+2.7%
first ⅓ avg 19.6% → last ⅓ avg 22.3%

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

0.14Best match rating · 7–13 · alpine, 15 May →
100%Best headshot accuracy · 2–0 · cache, 22 Jul →
375msFastest reaction time · 5–13 · office, 14 May →
13–1Biggest win · anubis, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 70% over 10cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.01
ancientB178–947%-0.01
dust2B136–746%0.01
nukeS139–469%0.00
infernoD123–925%-0.03
anubisS107–370%-0.01
cacheD51–420%0.03
overpass—44–0100%0.04
train—31–233%0.02
alpine—10–10%0.14
office—10–10%-0.02
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Lifetime stats

58,874Lifetime kills
1.09K/D · Top 50% of Level 3 players
2,909Matches
48.2%Match win rate · Top 25% of Level 3 players
43.0%Headshot % · Top 50% of Level 3 players
12.3%Shot accuracy · Top 50% of Level 3 players
9,863MVPs
1,367Hours (in match)
1,963Bombs planted
614Bombs defused

Most-used weapons

AK-4717,068
AWP12,322
Knife2,110
SSG 081,644

Lifetime map wins

4,378dust2
2,495nuke
2,300inferno
1,476vertigo
628train
581office
180italy
89lake

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

Faceit stats

Combat

74Matches
54%Win rate
0.93Avg K/D
—ADR
46%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo978%1.2217.7
Mirage771%1.4015.7
Anubis425%0.8413.3
Inferno333%0.7914.0
Nuke250%1.1819.5
Ancient2100%1.0618.0
Overpass2100%1.6415.0

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.

20.2%Headshot accuracy
30.7%Accuracy (enemy spotted)
33.5%Spray accuracy
83.8%Counter-strafing
8.4°Preaim
594msReaction time
24.7%T opening success
26.5%CT opening success
0.44Enemies flashed / flash
7.2%Flash assists
8.98HE damage / grenade
3.06Flashes / 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 0.4357 — 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 24.7383% — 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
anubis5–13-0.0618%1 Aug →
mirage4–13-0.0417%1 Aug →
dust29–13-0.0019%23 Jul →
anubis13–4-0.0222%23 Jul →
cache6–130.0623%23 Jul →
cache12–12-0.0623%22 Jul →
cache2–00.03100%22 Jul →
ancient13–4-0.084%22 Jul →
mirage5–13-0.0330%22 Jul →
nuke13–10-0.0022%22 Jul →
nuke5–130.0026%22 Jul →
ancient8–13-0.0220%20 Jul →
inferno6–13-0.0423%20 Jul →
dust213–90.0127%17 Jul →
anubis13–1-0.0026%17 Jul →
mirage13–80.0310%17 Jul →
mirage13–20.0129%17 Jul →
inferno9–13-0.0313%3 Jul →
ancient13–10-0.0318%3 Jul →
anubis11–13-0.0423%29 Jun →
anubis13–9-0.0817%29 Jun →
mirage7–13-0.0415%29 Jun →
ancient5–13-0.0516%26 Jun →
mirage13–8-0.0222%24 Jun →
mirage9–13-0.0719%22 Jun →
ancient13–20.0426%22 Jun →
inferno6–13-0.0615%21 Jun →
nuke13–100.0212%21 Jun →
dust26–130.0124%21 Jun →
inferno6–13-0.0725%20 Jun →
ancient15–15-0.0319%20 Jun →
mirage12–16-0.0324%20 Jun →
dust213–6-0.0210%20 Jun →
dust210–13-0.0714%19 Jun →
ancient6–130.0122%19 Jun →
nuke13–100.0231%19 Jun →
inferno0–13-0.090%19 Jun →
ancient13–7-0.0221%19 Jun →
ancient13–7-0.0217%19 Jun →
nuke4–130.0126%19 Jun →
anubis13–7-0.0318%17 Jun →
inferno4–13-0.0324%17 Jun →
mirage11–13-0.0511%15 Jun →
inferno11–13-0.0241%15 Jun →
anubis13–10.0920%15 Jun →
overpass13–8-0.0118%15 Jun →
anubis13–50.0820%7 Jun →
inferno10–13-0.0619%7 Jun →
anubis10–13-0.0013%31 May →
mirage5–13-0.0418%31 May →
overpass13–60.0817%31 May →
dust215–15-0.0014%31 May →
ancient13–11-0.035%30 May →
nuke16–120.0320%30 May →
overpass13–110.0327%30 May →
ancient10–130.0416%30 May →
mirage6–13-0.0633%25 May →
nuke13–50.0216%25 May →
dust25–13-0.0913%25 May →
ancient4–13-0.0626%25 May →
nuke1–13-0.095%25 May →
anubis13–8-0.0716%22 May →
nuke8–13-0.0216%22 May →
ancient13–160.0715%20 May →
ancient12–16-0.0122%18 May →
nuke13–6-0.0626%18 May →
nuke13–40.0919%17 May →
ancient13–5-0.0113%16 May →
dust213–100.1123%16 May →
ancient13–110.0223%16 May →
alpine7–130.1419%15 May →
office5–13-0.0217%14 May →
inferno13–60.0320%14 May →
cache9–130.0815%11 May →
cache10–130.0518%10 May →
vertigo3–13-0.0029%13 Mar →
dust212–120.0420%12 Mar →
overpass13–60.0520%12 Mar →
inferno8–13-0.0419%4 Jan →
mirage4–13-0.0623%4 Jan →
dust29–130.0221%3 Jan →
mirage13–90.1119%3 Jan →
mirage10–130.0315%2 Jan →
mirage8–13-0.032%1 Jan →
inferno13–60.0422%1 Jan →
dust213–70.0622%1 Jan →
mirage8–130.0213%31 Dec →
nuke13–60.0512%31 Dec →
dust213–70.0729%31 Dec →
nuke13–4-0.0436%31 Dec →
train8–13-0.0525%31 Dec →
mirage13–30.0527%31 Dec →
ancient12–16-0.0222%30 Dec →
inferno13–50.0118%30 Dec →
mirage10–13-0.0120%30 Dec →
train16–140.0521%30 Dec →
mirage13–10-0.0311%30 Dec →
dust213–30.0118%30 Dec →
mirage13–60.0614%30 Dec →
train15–150.0821%30 Dec →

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.