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DE76561198859062858[U:1:898797130]Steam profile ↗✓ No bans

638Tracked matches41%Win rate2020Tracked since
944Hours in CS
CSDB Rating5.2 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 42 days played since 9 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,030 +28 24 Aug27 Aug · 3 days played
7,8838,030peak 8,03024 Aug27 Aug
8,030Peak Premier in tracked matches
42Days played since 2025-08-09

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=9,584), 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 rate33.8%41.9%42.7%8.9% short
Shot accuracy18.7%12.2%11.3%above
Kill/death ratio1.330.980.99above
Match win rate43.9%43.3%43.9%meets

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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

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Performance scores

Aim59
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateLLLLWWWWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +3.3pp headshot accuracy · +24ms 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

  • 14 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 593ms

Last 20

  • 713 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 581ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim5.9
Utility6.0
Positioning5.0
Opening Duels2.0

Effective flashesLimited 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

device

Plays most like device 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 611ms 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

Aim5.9
Positioning5.0
Utility6.0
Mechanics7.2
Opening Duels2.0
Win Impact2.1

Composite 5.2/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time615ms+18ms
first ⅓ avg 596ms → last ⅓ avg 615ms
Headshot accuracy12.6%−0.0%
first ⅓ avg 12.6% → last ⅓ avg 12.6%

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

0.24Best match rating · 6–1 · mirage, 11 Apr
24%Best headshot accuracy · 10–13 · nuke, 7 Jul
422msFastest reaction time · 5–13 · ancient, 17 May
13–1Biggest win · mirage, 26 Apr

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
91In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 75% over 12anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B29141548%0.02
mirageB147750%0.04
infernoA149564%0.04
ancientS129375%0.02
nukeB115645%0.00
anubisD61517%-0.02
overpassA53260%0.02
cache42250%0.02
train42250%-0.01
vertigo110100%-0.00

Across the last 100 tracked matches.

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

Lifetime stats

57,115Lifetime kills
1.33K/D · Top 10% of Level 3 players
2,440Matches
43.9%Match win rate · Top 50% of Level 3 players
33.8%Headshot %
18.7%Shot accuracy · Top 10% of Level 3 players
6,622MVPs
944Hours (in match)
2,652Bombs planted
570Bombs defused

Most-used weapons

AWP14,558
AK-4710,434
FAMAS1,418
AUG1,329
P901,286

Lifetime map wins

11,218dust2
2,874inferno
1,439vertigo
1,381nuke
420train
254lake
168office
94cbble

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.

12.9%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.0%Spray accuracy
82.3%Counter-strafing
11.6°Preaim
611msReaction time
36.0%T opening success
39.9%CT opening success
0.75Enemies flashed / flash
3.6%Flash assists
12.22HE damage / grenade
4.81Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8866% — below the 15% mark we flag

    Aim Training
  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 36.0378% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–130.0917%21 Jul
cache4–13-0.0519%7 Jul
nuke10–13-0.0524%7 Jul
inferno7–13-0.0213%5 Jun
vertigo13–5-0.0014%5 Jun
cache13–80.127%24 May
mirage13–90.1214%24 May
overpass13–50.1013%24 May
dust26–13-0.026%24 May
anubis8–13-0.0211%17 May
ancient5–13-0.059%17 May
dust25–130.004%13 May
ancient13–100.0111%13 May
dust29–13-0.0421%2 May
cache13–11-0.019%2 May
cache10–130.0313%2 May
inferno1–13-0.085%26 Apr
anubis6–13-0.057%26 Apr
overpass3–13-0.032%26 Apr
mirage13–10.0922%26 Apr
dust25–13-0.047%25 Apr
train13–4-0.0219%25 Apr
dust213–90.0619%25 Apr
dust23–13-0.0215%24 Apr
inferno12–120.0317%19 Apr
nuke13–110.0816%19 Apr
ancient13–5-0.0113%12 Apr
mirage6–10.2422%11 Apr
anubis2–13-0.0512%11 Apr
dust29–130.037%11 Apr
ancient13–9-0.038%2 Apr
anubis7–13-0.039%29 Mar
nuke3–13-0.1010%29 Mar
inferno13–50.0819%29 Mar
dust27–13-0.0119%29 Mar
ancient13–10.0911%29 Mar
dust28–130.0311%29 Mar
mirage1–13-0.110%14 Mar
overpass13–50.0112%14 Mar
dust28–13-0.0511%14 Mar
anubis7–13-0.039%14 Mar
ancient8–13-0.0017%9 Mar
dust213–40.013%8 Mar
mirage1–13-0.010%10 Feb
anubis13–110.0420%10 Feb
ancient13–5-0.0018%25 Oct
inferno13–30.027%25 Oct
overpass13–70.0312%10 Oct
ancient13–60.037%3 Oct
mirage13–30.0717%3 Oct
dust213–30.0816%3 Oct
dust23–13-0.016%2 Oct
inferno13–110.0216%2 Oct
dust210–13-0.0513%28 Sept
ancient13–60.029%27 Sept
dust213–100.0319%27 Sept
nuke13–100.027%27 Sept
dust213–80.0620%27 Sept
dust212–12-0.017%26 Sept
nuke2–13-0.048%26 Sept
dust213–50.1013%20 Sept
mirage12–6-0.0415%20 Sept
train9–90.0118%20 Sept
mirage12–12-0.0311%16 Sept
dust213–50.0020%7 Sept
mirage13–10.1316%7 Sept
train6–130.037%4 Sept
ancient13–30.168%2 Sept
inferno13–110.0613%2 Sept
dust25–13-0.0211%1 Sept
inferno7–130.0013%1 Sept
inferno13–50.025%27 Aug
mirage8–13-0.0311%27 Aug
dust25–130.0615%25 Aug
inferno13–11-0.0013%24 Aug
dust213–100.0110%24 Aug
inferno13–50.0815%24 Aug
ancient13–20.0723%24 Aug
train11–13-0.0522%17 Aug
dust213–60.0619%17 Aug
dust26–2-0.040%17 Aug
overpass9–13-0.038%15 Aug
inferno13–40.1118%15 Aug
dust213–50.0819%15 Aug
nuke12–120.0514%15 Aug
nuke13–60.016%15 Aug
dust213–110.0617%15 Aug
inferno8–130.148%14 Aug
nuke2–130.0412%12 Aug
mirage7–130.1011%11 Aug
dust210–13-0.0411%11 Aug
nuke13–90.0510%10 Aug
dust216–130.1114%10 Aug
ancient7–13-0.0314%10 Aug
dust210–30.0815%10 Aug
nuke4–13-0.0222%9 Aug
mirage6–13-0.0013%9 Aug
inferno13–110.067%9 Aug
nuke13–70.0111%9 Aug
mirage13–80.019%9 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 →