stef

stef — CS2 Stats

JM76561198137498958[U:1:177233230]Steam profile ↗✓ No bans

4,489Tracked matches54%Win rate2020Tracked since
6,298Hours in CS
CSDB Rating5.5 SolidPositional Player
CSDB Leaderboard#29785 of 259541 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,305 +5,837 14 Feb – 28 Apr · 16 days played
18,46824,999peak 24,99914 Feb28 Apr
24,999Peak Premier in tracked matches
41Days played since 2026-02-14

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 rate36.5%50.9%
Shot accuracy16.2%13.7%
Kill/death ratio0.981.09
Match win rate50.8%48.4%

Share this profile

CSDB.GGstefFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning56
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateLWWLWLTLWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +4.2pp headshot accuracy · −52ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 514ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 485ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 510ms

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).

Aim6.6
Utility4.4
Positioning5.6
Opening Duels2.7
Clutch3.8

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

jL

Plays most like jL 91% 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 →

CSDB Rating breakdown

Aim6.6
Positioning5.6
Utility4.4
Mechanics5.8
Opening Duels2.6
Win Impact6.2

Composite 5.5/10 (Solid), 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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time538ms−12ms
first ⅓ avg 550ms → last ⅓ avg 538ms
Headshot accuracy16.2%+2.7%
first ⅓ avg 13.5% → last ⅓ avg 16.2%

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 · 13–5 · overpass, 14 Feb →
34%Best headshot accuracy · 13–9 · inferno, 21 Feb →
383msFastest reaction time · 10–1 · mirage, 3 Aug →
13–3Biggest win · inferno, 10 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 86% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS1511–473%0.01
nukeC135–838%0.00
cacheA85–363%-0.01
anubisS76–186%0.01
overpassS75–271%0.02
infernoB63–350%0.06
ancientD61–517%-0.02
vertigoC52–340%-0.02
italy—43–175%0.00
breach—42–250%-0.00
fjords—42–250%-0.03
pango—41–325%0.00
office—30–30%-0.07
dust2—33–0100%0.03
bridge—33–0100%0.04
matinee—21–150%-0.01
insertion2—21–150%0.02
boulder—11–0100%0.04
fachwerk—11–0100%0.00
shelter—11–0100%-0.04
train—11–0100%0.07

Across the last 100 tracked matches.

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

Lifetime stats

240,075Lifetime kills
0.98K/D
10,559Matches
50.8%Match win rate · Top 50% of Level 10 players
36.5%Headshot %
16.2%Shot accuracy · Top 50% of Level 10 players
25,317MVPs
6,298Hours (in match)
14,107Bombs planted
2,972Bombs defused

Most-used weapons

AK-4782,984
AWP14,697
P2506,996
MP95,938
Tec-95,481
P905,442

Lifetime map wins

18,110inferno
10,130dust2
8,952nuke
3,872train
2,161cbble
1,996vertigo
1,599office
274italy

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

Faceit stats

Combat

2,308Matches
53%Win rate
1.07Avg K/D
81.1ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage7247%0.9315.5
Anubis4262%0.9413.0
Ancient4055%1.0014.8
Nuke3361%1.0115.1
Biome2839%0.9314.3
Iris2748%1.0515.5
Dharma WIP2556%1.1014.6
Akiba2250%1.0416.1

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.

16.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
39.3%Spray accuracy
76.0%Counter-strafing
11.7°Preaim
519msReaction time
37.8%T opening success
43.0%CT opening success
0.54Enemies flashed / flash
5.7%Flash assists
3.61HE damage / grenade
9.45Flashes / 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 37.8373% — 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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
italy11–13-0.0021%1 Nov →
italy13–8-0.0024%1 Nov →
italy13–50.0313%31 Oct →
cache5–60.0511%9 Sept →
italy13–5-0.0215%28 Aug →
office3–2-0.0633%28 Aug →
nuke12–120.0125%3 Aug →
vertigo8–13-0.0712%3 Aug →
cache13–5-0.0323%3 Aug →
mirage10–10.1018%3 Aug →
inferno7–130.0321%3 Aug →
boulder9–10.0412%14 Jul →
fachwerk13–40.0015%14 Jul →
shelter13–11-0.0421%14 Jul →
cache6–13-0.0514%6 Jun →
anubis0–13-0.1111%18 May →
office6–13-0.1214%18 May →
office7–13-0.0220%18 May →
nuke15–15-0.0217%14 May →
mirage4–13-0.1012%10 May →
cache13–10-0.0213%10 May →
inferno13–30.1113%10 May →
vertigo13–70.0516%5 May →
mirage13–5-0.019%5 May →
cache6–13-0.0521%2 May →
cache13–40.1213%2 May →
cache13–11-0.029%2 May →
cache13–5-0.0913%29 Apr →
nuke5–13-0.0219%28 Apr →
ancient9–13-0.007%22 Apr →
mirage11–13-0.0619%22 Apr →
vertigo3–13-0.0018%21 Apr →
train10–20.0714%21 Apr →
overpass13–7-0.006%17 Apr →
mirage13–11-0.0616%17 Apr →
nuke9–13-0.0716%17 Apr →
ancient10–13-0.0317%16 Apr →
anubis7–6-0.0321%16 Apr →
nuke13–40.058%16 Apr →
nuke11–13-0.0815%16 Apr →
inferno11–130.0425%12 Apr →
ancient12–16-0.0418%10 Apr →
ancient10–13-0.049%10 Apr →
nuke13–11-0.0319%10 Apr →
overpass7–13-0.0615%10 Apr →
anubis12–20.0230%10 Apr →
dust216–130.0122%10 Apr →
mirage7–13-0.0618%10 Apr →
anubis13–9-0.0319%10 Apr →
ancient13–30.015%10 Apr →
overpass13–50.0514%10 Apr →
vertigo13–6-0.056%9 Apr →
nuke13–70.1015%28 Mar →
breach13–80.064%27 Mar →
breach10–13-0.0216%25 Mar →
bridge13–110.0417%20 Mar →
fjords14–16-0.0516%20 Mar →
pango14–160.029%20 Mar →
vertigo12–12-0.0416%20 Mar →
pango4–130.0312%17 Mar →
matinee15–19-0.0121%15 Mar →
mirage13–70.0011%10 Mar →
mirage13–100.0610%10 Mar →
overpass1–13-0.0412%9 Mar →
ancient5–13-0.0417%9 Mar →
bridge16–130.049%5 Mar →
fjords7–130.0214%5 Mar →
mirage13–60.0213%5 Mar →
bridge13–110.0518%4 Mar →
pango10–13-0.0312%4 Mar →
fjords13–5-0.0221%4 Mar →
breach6–13-0.0410%4 Mar →
dust213–90.0914%4 Mar →
inferno11–130.0611%3 Mar →
anubis13–70.058%3 Mar →
pango13–11-0.0116%3 Mar →
fjords13–10-0.075%1 Mar →
insertion213–5-0.0111%28 Feb →
breach13–10-0.0014%27 Feb →
matinee13–8-0.0114%27 Feb →
insertion28–130.0424%27 Feb →
nuke5–13-0.077%24 Feb →
dust213–100.0010%24 Feb →
nuke10–13-0.0019%23 Feb →
mirage13–9-0.0217%21 Feb →
mirage13–70.1110%21 Feb →
inferno13–90.0634%21 Feb →
overpass13–11-0.0410%17 Feb →
mirage9–13-0.0121%17 Feb →
nuke13–50.1013%17 Feb →
overpass16–130.0811%15 Feb →
anubis13–110.046%15 Feb →
nuke10–13-0.0211%14 Feb →
mirage13–90.026%14 Feb →
mirage13–60.0313%14 Feb →
mirage13–90.116%14 Feb →
inferno13–90.0318%14 Feb →
overpass13–50.1410%14 Feb →
anubis13–30.1115%14 Feb →
nuke13–60.0718%14 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.