Stefan

Stefan — CS2 Stats

HM76561198178013529[U:1:217747801]Steam profile ↗✓ No bans

660Tracked matches36%Win rate2021Tracked since
2,320Hours in CS
CSDB Rating5.2 DevelopingPositional Player
CSDB Leaderboard#67223 of 261636 tracked
FaceitLevel 10 · 1,863 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,275 +7,999 16 Aug – 31 May · 9 days played
11,57921,275peak 21,27516 Aug31 May
21,275Peak Premier in tracked matches
1,863Highest Faceit ELO seen on CSDB
83Days played since 2023-09-04

Faceit ELO

  • At peak — 1,863
  • Next: Level 10 at 2,001 — 138 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate47.1%50.9%
Shot accuracy15.1%13.7%
Kill/death ratio1.151.09
Match win rate35.8%48.4%

Share this profile

CSDB.GGStefanFACEITLevel 10 · 1,863 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,863csdb.gg/stats

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Performance scores

Aim76
Positioning66
Utility22

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLWWLLWLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.6pp headshot accuracy · +48ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 594ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

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 (+2.4 against its own average).

Aim7.6
Utility2.2
Positioning6.6
Opening Duels4.1
Clutch4.0

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

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

Reaction time. 590ms 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

Aim7.6
Positioning6.6
Utility2.2
Mechanics7.7
Opening Duels3.3
Win Impact0.2

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time589ms−75ms
first ⅓ avg 664ms → last ⅓ avg 589ms
Headshot accuracy17.7%−3.6%
first ⅓ avg 21.4% → last ⅓ avg 17.7%

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

0.19Best match rating · 13–3 · train, 29 Apr →
50%Best headshot accuracy · 5–13 · nuke, 21 Sept →
406msFastest reaction time · 13–10 · dust2, 31 May →
13–3Biggest win · nuke, 5 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 67% over 9cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD206–1430%0.01
dust2C187–1139%0.04
infernoC177–1041%0.01
anubisB105–550%0.01
nukeS96–367%0.00
ancientC83–538%-0.00
vertigoB63–350%0.02
cacheD51–420%-0.01
overpass—32–167%0.08
train—22–0100%0.10
italy—10–10%-0.01
thera—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

94,625Lifetime kills
1.15K/D · Top 50% of Level 10 players
4,955Matches
35.8%Match win rate
47.1%Headshot %
15.1%Shot accuracy · Top 50% of Level 10 players
11,801MVPs
2,320Hours (in match)
3,882Bombs planted
1,036Bombs defused

Most-used weapons

AK-4736,003
AWP11,633
SSG 082,541
P901,992
Knife1,689

Lifetime map wins

21,243dust2
2,238inferno
860nuke
715train
322cbble
175vertigo
158italy
148office

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

Faceit stats

Combat

818Matches
52%Win rate
1.20Avg K/D
87.1ADR
47%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust222756%1.2217.7
Mirage11649%1.0916.5
Anubis9651%1.1717.4
Inferno7442%1.0716.5
Ancient2741%1.0817.0
Train2245%1.3619.3
Overpass2162%1.2516.8
Cache2152%1.2218.1

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.

18.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.7%Spray accuracy
84.7%Counter-strafing
8.4°Preaim
590msReaction time
36.5%T opening success
50.0%CT opening success
0.27Enemies flashed / flash
1.7%Flash assists
11.72HE damage / grenade
2.04Flashes / 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 0.2717 — 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 36.4811% — 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
inferno9–13-0.0523%23 Jul →
anubis4–13-0.0510%8 Jul →
cache13–7-0.0116%1 Jul →
nuke13–60.0720%25 Jun →
cache11–130.0218%21 Jun →
cache17–190.0222%2 Jun →
dust213–110.0118%27 May →
dust26–130.0610%22 May →
cache5–13-0.0526%17 May →
cache6–13-0.0315%5 May →
mirage9–13-0.0218%9 Mar →
ancient2–130.026%12 Feb →
mirage9–13-0.0114%9 Feb →
dust29–130.0419%5 Feb →
dust213–16-0.0120%24 Jan →
mirage13–9-0.0117%22 Jan →
inferno13–110.0220%4 Jan →
nuke13–9-0.1210%3 Jan →
inferno8–13-0.0526%3 Jan →
ancient10–13-0.0221%21 Aug →
dust213–100.0129%31 May →
ancient9–13-0.0410%25 May →
nuke15–15-0.0211%22 May →
train13–70.0214%20 May →
dust210–130.0521%19 May →
mirage13–50.0133%18 May →
dust211–130.0011%10 May →
inferno9–130.0618%9 May →
ancient13–10-0.0122%9 May →
ancient15–150.0418%5 May →
mirage13–11-0.0112%5 May →
nuke13–30.0813%5 May →
mirage14–160.1123%3 May →
train13–30.1938%29 Apr →
dust29–130.0017%22 Apr →
dust26–130.0216%13 Apr →
anubis13–70.0317%30 Mar →
ancient13–30.0119%24 Mar →
anubis17–190.0234%22 Mar →
anubis13–100.0926%21 Mar →
overpass8–13-0.0122%15 Mar →
nuke13–5-0.0127%14 Mar →
mirage6–130.0226%14 Mar →
dust213–110.0613%6 Mar →
dust213–70.0636%22 Feb →
mirage13–8-0.0127%15 Feb →
anubis9–130.0525%7 Feb →
mirage13–160.0413%5 Feb →
mirage9–130.0230%5 Feb →
anubis10–13-0.0417%4 Feb →
mirage13–80.0118%3 Feb →
anubis13–90.0320%2 Feb →
inferno4–130.0129%2 Feb →
anubis13–6-0.0319%2 Feb →
inferno2–13-0.083%1 Feb →
dust213–100.1211%29 Jan →
anubis13–110.0314%29 Jan →
ancient10–13-0.0221%28 Jan →
mirage10–130.0112%28 Jan →
ancient13–70.0122%26 Jan →
inferno19–150.016%5 Jan →
mirage13–3-0.0223%4 Jan →
dust213–80.0511%28 Dec →
dust213–50.1435%18 Dec →
mirage10–13-0.0417%15 Dec →
inferno6–13-0.0619%10 Dec →
overpass13–50.0921%7 Dec →
dust29–130.0215%28 Nov →
dust212–120.0520%23 Nov →
inferno13–80.0522%11 Nov →
inferno3–130.0223%6 Nov →
vertigo7–130.0016%14 Oct →
inferno13–50.0613%11 Oct →
inferno4–13-0.0512%9 Oct →
italy6–13-0.0116%8 Oct →
nuke5–13-0.0150%21 Sept →
dust27–130.0112%20 Sept →
vertigo7–13-0.0111%18 Sept →
vertigo13–10-0.0214%16 Aug →
inferno16–130.0315%16 Aug →
vertigo13–80.0214%15 Aug →
dust215–150.0820%15 Aug →
inferno5–130.0723%15 Aug →
vertigo13–50.0331%14 Aug →
mirage7–130.0329%12 Aug →
nuke12–50.0627%12 Aug →
thera9–13-0.0525%11 Aug →
mirage9–13-0.0234%28 Sept →
overpass13–40.1730%28 Sept →
mirage13–16-0.0521%16 Sept →
anubis3–13-0.0038%14 Sept →
inferno13–8-0.0615%12 Sept →
inferno7–130.0220%11 Sept →
inferno13–60.1123%10 Sept →
nuke3–6-0.046%7 Sept →
vertigo10–130.0623%6 Sept →
nuke9–10.0325%6 Sept →
mirage11–130.0423%6 Sept →
mirage6–13-0.0219%5 Sept →
mirage14–160.0522%4 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 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.