Stephan

Stephan — CS2 Stats

76561198433653012[U:1:473387284]Steam profile ↗✓ No bans

348Tracked matches66%Win rate2020Tracked since
874Hours in CS8Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Premier CS Rating20,802Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.6% of ranked players (population est.)
CSDB Leaderboard#73216 of 261542 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (7 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: 20,802 +1,067 21 Jul – 7 Nov · 29 days played
18,53921,157peak 21,15721 Jul7 Nov
21,360Peak Premier in tracked matches
34Days played since 2026-07-20

Premier CS Rating

  • 355 below peak (21,157)
  • +1,796 over 30 days · improving
  • -355 over 90 days
  • Next: Red band at 25,000 — 4,198 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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate47.8%45.7%46.8%above
Shot accuracy8.3%12.7%13.0%4.7% short
Kill/death ratio1.161.051.06above
Match win rate50.6%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGStephanFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER20,802 · 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

Aim87
Positioning43
Utility62

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateWWWWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +5.4pp headshot accuracy · +20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 558ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 541ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 531ms

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 (+2.7 against its own average).

Aim8.7
Utility6.2
Positioning4.3
Opening Duels1.5
Clutch2.0

Sharp aimerStrong 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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

Aim8.7
Positioning4.3
Utility6.2
Mechanics7.7
Opening Duels3.0
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time533ms−86ms
first ⅓ avg 619ms → last ⅓ avg 533ms
Headshot accuracy20.9%+0.2%
first ⅓ avg 20.7% → last ⅓ avg 20.9%

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

0.11Best match rating · 13–4 · inferno, 1 Nov →
35%Best headshot accuracy · 13–11 · dust2, 1 Sept →
391msFastest reaction time · 8–13 · ancient, 13 Aug →
13–3Biggest win · cache, 7 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
10–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 68% over 22dust2Weakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%-0.02
cacheS2215–768%0.01
infernoA2212–1055%-0.02
ancientB2010–1050%0.00
mirageC73–443%-0.03
anubis—21–150%-0.00
nuke—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,800Lifetime kills
1.16K/D · Top 50% of Level 7 players
1,246Matches
50.6%Match win rate · Top 25% of Level 7 players
47.8%Headshot % · Top 50% of Level 7 players
8.3%Shot accuracy
3,332MVPs
515Hours (in match)
1,746Bombs planted
402Bombs defused

Most-used weapons

Lifetime map wins

3,451dust2
2,822inferno
231nuke
189train
172cbble
134vertigo
45lake
16bank

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

Faceit stats

Combat

37Matches
57%Win rate
1.20Avg K/D
71.8ADR
49%Headshot %

Clutches & streaks

30%1v1 clutch win
46%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust2967%1.0515.6
Inferno850%1.0614.4
Ancient560%1.1214.4
Cache367%1.2116.7

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.

20.7%Headshot accuracy
35.7%Accuracy (enemy spotted)
39.5%Spray accuracy
84.8%Counter-strafing
7.5°Preaim
535msReaction time
39.0%T opening success
45.3%CT opening success
0.64Enemies flashed / flash
5.3%Flash assists
9.95HE damage / grenade
9.29Flashes / 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 39.0477% — 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.

38% win rate across 26 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
ancient13–80.0321%10 Nov →
dust213–9-0.0617%10 Nov →
anubis13–8-0.0022%7 Nov →
cache13–30.0628%7 Nov →
dust29–130.0031%6 Nov →
cache13–30.0824%2 Nov →
ancient13–90.0320%2 Nov →
dust216–130.0421%1 Nov →
inferno13–9-0.0333%1 Nov →
inferno13–40.1124%1 Nov →
cache16–12-0.0122%1 Nov →
nuke3–13-0.0328%28 Oct →
cache13–10-0.0433%25 Oct →
cache13–100.039%25 Oct →
cache13–70.0214%25 Oct →
anubis10–13-0.0012%11 Oct →
ancient13–70.0212%11 Oct →
inferno13–40.0324%11 Oct →
inferno11–130.0217%10 Oct →
cache11–13-0.0217%10 Oct →
inferno5–13-0.089%10 Oct →
mirage13–60.0213%8 Oct →
cache13–110.0334%3 Oct →
inferno9–13-0.076%10 Sept →
dust213–9-0.0134%10 Sept →
dust213–40.0133%10 Sept →
inferno3–13-0.0917%6 Sept →
ancient15–15-0.0111%6 Sept →
inferno2–13-0.089%6 Sept →
cache8–130.0128%5 Sept →
inferno7–13-0.0227%5 Sept →
ancient10–130.0319%5 Sept →
dust210–13-0.0421%4 Sept →
ancient13–110.0426%4 Sept →
dust27–130.0027%4 Sept →
dust213–110.0235%1 Sept →
dust28–13-0.0617%1 Sept →
cache13–110.0226%1 Sept →
dust210–13-0.0422%1 Sept →
inferno13–11-0.0014%26 Aug →
ancient6–13-0.0317%26 Aug →
inferno13–16-0.0614%20 Aug →
cache13–70.0219%20 Aug →
dust24–13-0.0428%17 Aug →
ancient13–9-0.0119%17 Aug →
dust213–30.067%17 Aug →
cache13–7-0.0219%17 Aug →
dust24–13-0.0619%16 Aug →
inferno13–9-0.0222%16 Aug →
cache9–13-0.0410%16 Aug →
dust23–130.0220%13 Aug →
cache13–70.0016%13 Aug →
ancient8–13-0.047%13 Aug →
dust29–13-0.0422%12 Aug →
ancient11–13-0.0317%12 Aug →
ancient15–150.0018%12 Aug →
inferno11–13-0.038%12 Aug →
inferno7–0-0.0115%12 Aug →
cache9–13-0.0718%12 Aug →
dust26–13-0.0414%8 Aug →
cache13–9-0.0314%8 Aug →
cache3–13-0.0321%8 Aug →
ancient13–8-0.0524%8 Aug →
mirage5–13-0.0816%8 Aug →
dust213–110.0023%8 Aug →
dust213–11-0.0610%7 Aug →
inferno3–13-0.0814%7 Aug →
inferno16–130.0123%7 Aug →
mirage6–13-0.0715%7 Aug →
cache10–130.0426%5 Aug →
inferno16–14-0.0513%5 Aug →
ancient13–60.0513%5 Aug →
dust216–14-0.0127%4 Aug →
cache13–10-0.0123%4 Aug →
ancient13–70.0626%31 Jul →
dust23–13-0.0617%31 Jul →
mirage5–13-0.014%31 Jul →
inferno16–140.0125%31 Jul →
dust210–13-0.0431%31 Jul →
ancient8–13-0.0817%31 Jul →
cache16–130.0216%30 Jul →
ancient13–9-0.0017%30 Jul →
inferno12–160.0227%30 Jul →
mirage4–13-0.0529%30 Jul →
ancient9–130.0422%25 Jul →
inferno13–10-0.0018%25 Jul →
ancient13–9-0.0312%24 Jul →
dust211–13-0.0518%23 Jul →
ancient5–130.0832%23 Jul →
mirage13–80.0317%23 Jul →
dust28–130.0225%23 Jul →
dust211–130.0124%22 Jul →
ancient3–13-0.0414%22 Jul →
inferno13–80.0222%21 Jul →
cache10–130.0121%21 Jul →
cache13–50.0427%21 Jul →
dust22–13-0.0429%21 Jul →
inferno16–130.0313%20 Jul →
dust213–8-0.0018%20 Jul →
mirage13–5-0.0321%20 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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