steffem

steffem — CS2 Stats

SE76561198718254848[U:1:757989120]Steam profile ↗✓ No bans

25Tracked matches61%Win rate2026Tracked since
37Hours in CS23Hrs last 2 wks
CSDB Rating · provisional5.4 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim67
Positioning47
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY15–9–1Last 2560%Win rateLWWWTLLWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · −73ms reaction

Win rate down 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 667ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 656ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 31%
  • Avg reaction 693ms

Newest first, from the last 25 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 (+1.9 against its own average).

Aim6.7
Utility1.0
Positioning4.7
Opening Duels2.8

Strong T-side openerLimited 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 88% 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. 701ms 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

Aim6.7
Positioning4.7
Utility1.0
Mechanics7.9
Opening Duels2.3
Win Impact8.6

Composite 5.4/10 (Developing, provisional — under 30 tracked matches), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time670ms−108ms
first ⅓ avg 778ms → last ⅓ avg 670ms
Headshot accuracy31.1%−2.1%
first ⅓ avg 33.2% → last ⅓ avg 31.1%

Rolling 5-match average across the last 25 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–2 · mirage, 22 Apr →
67%Best headshot accuracy · 5–5 · dust2, 26 Oct →
406msFastest reaction time · 5–5 · dust2, 26 Oct →
13–0Biggest win · cache, 16 May →

Across the last 25 tracked matches.

Highlights

5Longest win streak

Map breakdown

nukeBest map · 67% over 6mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC83–538%0.05
nukeS64–267%0.01
anubis—32–167%-0.00
dust2—21–150%0.01
train—21–150%-0.07
cache—22–0100%0.05
vertigo—11–0100%-0.01
inferno—11–0100%-0.04

Across the last 25 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

416Lifetime kills
1.20K/D · Top 25% of tracked players
25Matches
72.0%Match win rate · Top 1% of tracked players
69.5%Headshot % · Top 1% of tracked players
0.0%Shot accuracy
62MVPs
8Hours (in match)
13Bombs planted
3Bombs defused

Most-used weapons

Lifetime map wins

61nuke
37dust2
15train
13vertigo
9inferno

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.

32.1%Headshot accuracy
29.4%Accuracy (enemy spotted)
30.9%Spray accuracy
85.7%Counter-strafing
10.8°Preaim
701msReaction time
45.2%T opening success
33.4%CT opening success
0.16Enemies flashed / flash
3.0%Flash assists
5.11HE damage / grenade
4.61Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 701.1683ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.1618 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.3821% — below the 40% mark we flag

Spend your practice time on Mirage

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 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.010%30 Oct →
mirage13–9-0.0028%29 Oct →
nuke13–30.0919%27 Oct →
nuke13–9-0.0236%27 Oct →
mirage12–120.0430%26 Oct →
mirage4–13-0.0331%26 Oct →
dust25–50.0167%26 Oct →
nuke13–9-0.0538%26 Oct →
mirage6–130.0931%25 Oct →
dust213–40.0126%25 Oct →
anubis13–7-0.0131%24 Oct →
train13–7-0.0617%18 Jun →
vertigo13–7-0.0145%3 Jun →
anubis5–130.0448%30 May →
anubis13–7-0.0322%30 May →
mirage5–130.0744%29 May →
mirage13–30.0720%24 May →
mirage6–130.0031%16 May →
cache13–00.0727%16 May →
nuke13–50.0637%16 May →
cache13–60.0322%2 May →
inferno9–4-0.0444%22 Apr →
mirage13–20.1334%22 Apr →
nuke8–13-0.0139%22 Apr →
train3–13-0.0831%22 Apr →

Match data via Leetify.

Recent teammates

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

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