Kreisliga CS

Kreisliga CS — CS2 Stats

DE76561199085245694[U:1:1124979966]Steam profile ↗✓ No bans

1,264Tracked matches48%Win rate2020Tracked since
1,855Hours in CS3Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
CSDB Leaderboard#29514 of 259149 tracked
FaceitLevel 9 · 1,975 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,321 +2,063 3 Jun – 30 Jun · 12 days played
22,25824,844peak 24,8443 Jun30 Jun
24,844Peak Premier in tracked matches
1,975Highest Faceit ELO seen on CSDB
50Days played since 2026-03-25

Faceit ELO

  • At peak — 1,975
  • Next: Level 10 at 2,001 — 26 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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate51.0%48.2%50.9%meets
Shot accuracy7.4%13.2%13.7%6.3% short
Kill/death ratio0.951.071.090.14 short
Match win rate47.6%46.9%48.4%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKreisliga CSFACEITLevel 9 · 1,975 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,975csdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility42

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateWLLLWLLLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.1pp headshot accuracy · −67ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 561ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 618ms

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 (+1.4 against its own average).

Aim7.5
Utility4.2
Positioning5.4
Opening Duels2.6
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 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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. 614ms 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

Aim7.5
Positioning5.4
Utility4.2
Mechanics6.9
Opening Duels1.8
Win Impact4.4

Composite 5.3/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time620ms−1ms
first ⅓ avg 621ms → last ⅓ avg 620ms
Headshot accuracy24.2%+2.9%
first ⅓ avg 21.4% → last ⅓ avg 24.2%

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

0.09Best match rating · 13–10 · ancient, 24 May →
50%Best headshot accuracy · 5–4 · train, 21 Aug →
438msFastest reaction time · 3–13 · anubis, 26 Jun →
13–2Biggest win · ancient, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3517–1849%-0.01
ancientA2112–957%0.01
anubisS1310–377%-0.00
mirageA127–558%0.01
cacheD81–713%-0.04
overpassS54–180%0.01
inferno—31–233%-0.00
nuke—20–20%-0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

34,159Lifetime kills
0.95K/D
1,820Matches
47.6%Match win rate · Top 50% of Level 9 players
51.0%Headshot % · Top 50% of Level 9 players
7.4%Shot accuracy
4,483MVPs
1,010Hours (in match)
2,549Bombs planted
490Bombs defused

Most-used weapons

AK-4712,194
AWP3,002
Knife1,287
P250669

Lifetime map wins

3,347dust2
2,096inferno
1,580nuke
851train
820vertigo
113office
93cbble
7lake

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

Faceit stats

Combat

1,180Matches
50%Win rate
1.09Avg K/D
77.3ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage23246%1.1016.5
Dust221545%1.0215.3
Ancient18355%1.1116.3
Anubis12953%1.1717.6
Inferno11257%1.1015.8
Nuke8857%1.1818.1
Overpass4558%1.1517.3
Train2752%1.0616.3

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.

24.8%Headshot accuracy
34.8%Accuracy (enemy spotted)
35.0%Spray accuracy
81.1%Counter-strafing
9.9°Preaim
614msReaction time
30.7%T opening success
44.0%CT opening success
0.44Enemies flashed / flash
5.1%Flash assists
7.10HE damage / grenade
5.07Flashes / 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 0.4429 — 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 30.7332% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–50.0524%23 Oct →
cache2–13-0.0124%15 Oct →
dust26–130.0030%3 Oct →
ancient11–13-0.0031%20 Sept →
dust213–60.0216%20 Sept →
dust25–13-0.0435%19 Sept →
ancient8–130.0018%13 Sept →
dust24–13-0.0635%12 Sept →
anubis0–4-0.050%12 Sept →
dust213–6-0.0124%12 Sept →
inferno6–13-0.0721%5 Sept →
mirage8–130.0237%22 Aug →
ancient5–130.0333%22 Aug →
mirage13–5-0.0022%21 Aug →
train5–4-0.0250%21 Aug →
anubis13–50.0724%3 Aug →
cache5–13-0.1219%21 Jul →
cache1–13-0.0722%21 Jul →
ancient13–11-0.0315%21 Jul →
ancient13–60.0215%20 Jul →
mirage13–110.0230%18 Jul →
mirage13–50.0423%15 Jul →
dust213–8-0.0214%15 Jul →
anubis13–100.0224%15 Jul →
cache11–13-0.0225%12 Jul →
ancient13–100.0325%5 Jul →
ancient10–13-0.0129%5 Jul →
mirage1–13-0.0431%30 Jun →
dust215–15-0.0317%30 Jun →
anubis16–140.0128%29 Jun →
dust213–90.0327%29 Jun →
nuke6–130.0215%29 Jun →
dust213–160.0017%28 Jun →
dust28–13-0.0212%28 Jun →
dust213–4-0.0122%28 Jun →
dust213–110.0626%28 Jun →
dust27–13-0.0226%28 Jun →
anubis3–13-0.0211%26 Jun →
ancient16–140.0125%22 Jun →
dust216–120.0324%22 Jun →
dust27–130.0125%22 Jun →
dust213–5-0.0212%21 Jun →
ancient13–5-0.0212%21 Jun →
anubis13–90.0230%19 Jun →
mirage5–130.0121%19 Jun →
dust213–6-0.0730%19 Jun →
nuke11–13-0.0413%19 Jun →
dust212–16-0.0620%16 Jun →
dust28–13-0.0626%16 Jun →
overpass13–90.0415%14 Jun →
mirage13–100.0425%14 Jun →
ancient5–13-0.0313%11 Jun →
ancient6–13-0.0913%10 Jun →
dust29–13-0.0518%10 Jun →
ancient13–4-0.0120%9 Jun →
mirage13–70.0321%9 Jun →
dust27–130.0121%7 Jun →
dust213–3-0.0223%6 Jun →
overpass16–130.0016%6 Jun →
ancient13–20.0312%5 Jun →
cache10–130.0218%5 Jun →
dust29–13-0.0019%5 Jun →
anubis7–13-0.0827%5 Jun →
mirage9–13-0.0136%4 Jun →
anubis13–5-0.0222%4 Jun →
dust213–110.0524%4 Jun →
mirage5–130.0118%4 Jun →
ancient13–100.0416%4 Jun →
dust215–15-0.0122%3 Jun →
ancient13–8-0.0019%3 Jun →
anubis13–6-0.0127%3 Jun →
ancient15–15-0.0116%3 Jun →
anubis13–9-0.0118%2 Jun →
dust26–13-0.0122%2 Jun →
dust213–90.0817%2 Jun →
dust213–60.0619%31 May →
overpass13–7-0.0323%25 May →
anubis13–6-0.0516%25 May →
dust213–11-0.0023%25 May →
cache9–13-0.0620%24 May →
dust213–70.0418%24 May →
ancient13–100.0930%24 May →
overpass14–16-0.0335%23 May →
dust211–130.0028%23 May →
inferno16–190.0216%23 May →
mirage13–11-0.0514%30 Apr →
cache6–13-0.0514%30 Apr →
cache13–60.0029%30 Apr →
dust24–13-0.0818%29 Apr →
ancient8–13-0.0131%26 Apr →
overpass13–70.0715%18 Apr →
ancient5–13-0.0724%16 Apr →
anubis13–110.0517%11 Apr →
anubis13–50.0523%7 Apr →
mirage13–20.0536%6 Apr →
dust213–110.0323%6 Apr →
dust21–13-0.0817%4 Apr →
ancient13–50.0519%27 Mar →
ancient13–70.0923%27 Mar →
inferno13–110.0420%25 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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