kemppis69

kemppis69 — CS2 Stats

CN76561198038381386[U:1:78115658]Steam profile ↗✓ No bans

402Tracked matches48%Win rate2020Tracked since
3,398Hours in CS5Hrs last 2 wks
CSDB Rating6.6 SolidClutch Specialist
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 17 Dec 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,652 -871 19 Dec31 Dec · 9 days played
15,18518,973peak 18,97319 Dec31 Dec
18,973Peak Premier in tracked matches
30Days played since 2024-12-17

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=13,629), 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 rate44.4%48.3%51.0%6.6% short
Shot accuracy21.5%13.2%13.7%above
Kill/death ratio0.991.071.090.10 short
Match win rate42.1%46.9%48.4%6.3% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGkemppis69FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning70
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateLWLLLWWLWL

Last 10 vs previous 10: −30pp win rate · +0.05 avg rating · +2.8pp headshot accuracy · +2ms reaction

Win rate down 30pp 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 (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 28%
  • Avg reaction 548ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 25%
  • Avg reaction 543ms

Last 20

  • 119 · 55% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 23%
  • Avg reaction 542ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+3 against its own average).

Aim8.1
Utility4.6
Positioning7.0
Opening Duels6.4
Clutch10.0

Reliable in 1v1s

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 97% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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. 571ms 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

Aim8.1
Positioning7.0
Utility4.6
Mechanics6.3
Opening Duels6.5
Win Impact4.4

Composite 6.6/10 (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 rating0.05−0.01
first ⅓ avg 0.06 → last ⅓ avg 0.05
Reaction time570ms−61ms
first ⅓ avg 631ms → last ⅓ avg 570ms
Headshot accuracy22.1%+2.2%
first ⅓ avg 19.9% → last ⅓ avg 22.1%

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

0.18Best match rating · 13–0 · mirage, 22 Mar
50%Best headshot accuracy · 7–13 · agency, 23 May
336msFastest reaction time · 2–2 · anubis, 21 Mar
13–0Biggest win · mirage, 22 Mar

Across the last 100 tracked matches.

Highlights

4Longest win streak
48In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 83% over 12anubisWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C26111542%0.04
nukeB23111248%0.05
mirageS1210283%0.08
infernoA117464%0.08
ancientB115645%0.04
anubisD6060%0.05
trainA53260%0.05
overpass42250%0.01
cache110100%0.10
agency1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

150,964Lifetime kills
0.99K/D
4,523Matches
42.1%Match win rate
44.4%Headshot %
21.5%Shot accuracy · Top 5% of Level 9 players
10,838MVPs
2,893Hours (in match)
4,862Bombs planted
1,134Bombs defused

Most-used weapons

AK-4744,989
AWP32,648
P2503,952
SSG 082,567
P902,075
Tec-91,990

Lifetime map wins

9,590dust2
5,603inferno
2,613nuke
1,448cbble
1,171train
353vertigo
169militia
165safehouse

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

Faceit stats

Combat

411Matches
54%Win rate
1.33Avg K/D
55.8ADR
40%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.265.0
Nuke10%0.8618.0
Dust21100%0.6210.0

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.

21.2%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.6%Spray accuracy
78.6%Counter-strafing
8.5°Preaim
571msReaction time
52.2%T opening success
59.8%CT opening success
0.61Enemies flashed / flash
5.1%Flash assists
8.00HE damage / grenade
10.23Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–160.0715%21 Sept
inferno13–80.1025%13 Sept
dust25–130.0834%13 Sept
nuke13–160.0629%13 Sept
nuke9–130.0635%13 Sept
ancient13–100.1218%13 Sept
cache16–120.1025%13 Sept
anubis11–130.0715%8 Aug
ancient13–80.1526%8 Aug
inferno8–130.0725%18 Jun
ancient1–13-0.0745%2 Apr
nuke13–100.0916%26 Mar
inferno13–60.0928%26 Mar
nuke13–60.0719%26 Mar
mirage13–20.0922%13 Feb
overpass5–13-0.0113%7 Feb
train13–40.0617%31 Dec
dust213–90.0312%24 Dec
inferno13–20.1225%24 Dec
dust27–13-0.0421%19 Dec
nuke10–13-0.029%13 Oct
dust213–50.1527%8 Aug
overpass13–11-0.0211%5 Aug
dust211–130.0018%30 Jul
overpass6–13-0.1012%30 Jul
nuke9–13-0.0638%30 Jul
ancient15–150.0522%30 Jul
inferno9–130.0320%30 Jul
mirage16–120.0517%30 Jul
ancient11–13-0.029%30 Jul
mirage13–110.0619%30 Jul
nuke13–40.1144%29 Jul
dust210–13-0.0116%29 Jul
nuke10–130.0120%23 May
agency7–13-0.0550%23 May
anubis4–130.0427%23 May
nuke13–16-0.0120%17 Apr
inferno11–130.0730%5 Apr
ancient16–13-0.0016%4 Apr
nuke13–100.1027%4 Apr
ancient9–130.0117%4 Apr
nuke6–13-0.0234%4 Apr
mirage13–30.1719%4 Apr
mirage13–110.0732%1 Apr
dust24–130.0144%1 Apr
inferno13–60.0328%1 Apr
dust27–130.0930%1 Apr
nuke13–100.0917%1 Apr
dust213–3-0.0122%28 Mar
train8–130.0125%28 Mar
nuke13–30.1114%28 Mar
inferno7–130.0032%22 Mar
ancient3–13-0.0816%22 Mar
nuke13–80.0430%22 Mar
dust212–160.0113%22 Mar
nuke13–80.0817%22 Mar
dust215–150.0427%22 Mar
mirage13–00.1824%22 Mar
dust213–90.0721%22 Mar
train16–140.0917%22 Mar
dust213–10.1614%22 Mar
train10–130.0213%22 Mar
dust213–100.1030%22 Mar
dust211–130.0122%22 Mar
nuke13–60.1017%22 Mar
train13–90.0720%22 Mar
anubis9–130.0517%21 Mar
nuke9–130.0524%21 Mar
mirage11–130.0322%21 Mar
ancient13–80.1020%21 Mar
dust29–130.0518%21 Mar
dust213–90.1024%21 Mar
anubis2–2-0.0414%21 Mar
dust21–8-0.090%21 Mar
nuke5–130.1046%21 Mar
inferno13–90.0926%21 Mar
dust213–60.1040%21 Mar
dust28–13-0.0117%2 Mar
dust22–13-0.0613%2 Mar
nuke13–70.0512%2 Mar
mirage13–30.1411%2 Mar
ancient10–130.039%22 Feb
dust213–30.0110%22 Feb
nuke10–13-0.0118%17 Feb
mirage11–13-0.0215%17 Feb
mirage16–120.0319%19 Dec
nuke2–13-0.0229%18 Dec
mirage13–70.0519%18 Dec
dust213–100.1716%18 Dec
overpass13–30.1524%18 Dec
nuke13–70.1022%18 Dec
anubis12–120.1220%18 Dec
ancient13–90.1324%18 Dec
inferno13–10.168%18 Dec
dust213–50.0823%18 Dec
mirage13–70.1620%18 Dec
dust28–13-0.0218%18 Dec
nuke9–130.0929%17 Dec
inferno13–60.1322%17 Dec
dust28–130.0124%17 Dec

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 →