Kampela

Kampela — CS2 Stats

FI76561198073330242[U:1:113064514]Steam profile ↗VAC banned

463Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 463 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,871 +3,861 12 Oct – 27 Apr · 37 days played
12,61818,932peak 18,93212 Oct27 Apr
19,265Peak Premier in tracked matches
45Days played since 2025-10-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim64
Positioning61
Utility55

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateWWWWWLLWWT

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.6pp headshot accuracy · −120ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 522ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

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 (+2.3 against its own average).

Aim6.4
Utility5.5
Positioning6.1
Opening Duels3.8
Clutch0.0

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

m0NESY

Plays most like m0NESY 81% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 598ms 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

Aim6.4
Positioning6.1
Utility5.5
Mechanics6.4
Opening Duels2.9
Win Impact7.4

Composite 6.0/10 (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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time592ms−68ms
first ⅓ avg 660ms → last ⅓ avg 592ms
Headshot accuracy15.4%−2.7%
first ⅓ avg 18.1% → last ⅓ avg 15.4%

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

0.10Best match rating · 11–13 · ancient, 23 Feb →
36%Best headshot accuracy · 10–13 · dust2, 9 Nov →
422msFastest reaction time · 12–16 · nuke, 2 Feb →
13–0Biggest win · nuke, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
8–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 60% over 10ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB2914–1548%-0.01
dust2B2815–1354%0.00
ancientC135–838%0.01
infernoB137–654%-0.01
nukeA106–460%-0.01
overpass—42–250%-0.02
anubis—21–150%0.01
cache—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
43%Win rate
0.96Avg K/D
66.1ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1100%1.4310.0
Dust210%1.2123.0

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.

14.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
37.2%Spray accuracy
78.9%Counter-strafing
9.4°Preaim
598msReaction time
40.6%T opening success
42.8%CT opening success
0.65Enemies flashed / flash
6.2%Flash assists
10.27HE damage / grenade
11.28Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7881% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0217%12 Sept →
dust213–9-0.076%12 Sept →
mirage13–8-0.0226%7 Aug →
ancient13–90.0416%7 Aug →
cache16–13-0.0110%7 Aug →
mirage1–13-0.039%27 Apr →
dust211–13-0.0518%27 Apr →
dust213–50.047%17 Apr →
mirage13–6-0.0020%17 Apr →
ancient15–15-0.0111%2 Apr →
mirage15–150.0210%2 Apr →
mirage9–13-0.0521%31 Mar →
dust211–13-0.046%19 Mar →
overpass4–13-0.085%17 Mar →
ancient13–110.035%17 Mar →
inferno13–6-0.0028%17 Mar →
mirage13–6-0.0317%12 Mar →
nuke13–50.0422%10 Mar →
inferno2–130.019%10 Mar →
dust213–110.0324%25 Feb →
ancient9–130.0616%24 Feb →
ancient11–130.1013%23 Feb →
dust213–50.0419%23 Feb →
dust23–130.1017%22 Feb →
nuke2–13-0.0919%22 Feb →
inferno8–130.0525%22 Feb →
mirage13–8-0.1022%16 Feb →
mirage13–7-0.005%15 Feb →
overpass8–13-0.049%13 Feb →
mirage13–5-0.0015%11 Feb →
dust28–13-0.0213%10 Feb →
dust29–13-0.0118%6 Feb →
mirage5–130.0728%6 Feb →
dust24–13-0.0723%4 Feb →
nuke13–80.0622%4 Feb →
dust211–13-0.018%4 Feb →
mirage8–130.067%4 Feb →
dust213–110.0113%3 Feb →
dust213–9-0.009%3 Feb →
dust213–11-0.0119%2 Feb →
nuke12–160.0121%2 Feb →
inferno13–8-0.0417%2 Feb →
mirage13–90.0120%30 Jan →
dust213–4-0.029%30 Jan →
mirage13–10-0.008%30 Jan →
dust213–20.0516%30 Jan →
nuke7–13-0.0223%29 Jan →
anubis4–130.0234%27 Jan →
mirage13–8-0.0419%27 Jan →
dust213–110.0112%20 Jan →
anubis13–90.0011%20 Jan →
mirage13–7-0.0217%16 Jan →
nuke5–130.0129%16 Jan →
ancient13–80.0416%16 Jan →
inferno13–90.0217%16 Jan →
dust27–13-0.056%11 Jan →
mirage10–130.0516%11 Jan →
dust213–60.0823%11 Jan →
overpass13–100.0617%2 Jan →
ancient11–130.0212%28 Nov →
mirage15–150.0811%28 Nov →
dust213–60.0214%25 Nov →
inferno6–13-0.0315%25 Nov →
mirage9–13-0.0113%22 Nov →
inferno4–13-0.0713%20 Nov →
inferno11–13-0.0811%19 Nov →
mirage7–13-0.023%19 Nov →
dust23–13-0.0019%15 Nov →
ancient9–13-0.0420%14 Nov →
mirage13–110.0319%14 Nov →
dust213–80.0319%14 Nov →
inferno13–110.0216%14 Nov →
inferno13–6-0.0935%9 Nov →
ancient13–7-0.0126%9 Nov →
nuke13–8-0.0126%9 Nov →
dust210–13-0.0436%9 Nov →
mirage8–13-0.0416%22 Oct →
overpass13–6-0.0127%22 Oct →
ancient15–15-0.0416%22 Oct →
mirage5–13-0.0518%22 Oct →
mirage13–11-0.0216%20 Oct →
dust215–150.0220%20 Oct →
mirage8–13-0.0416%20 Oct →
inferno14–16-0.0321%17 Oct →
nuke13–80.0519%17 Oct →
dust213–20.0817%17 Oct →
mirage13–100.0214%17 Oct →
inferno13–9-0.0112%17 Oct →
ancient5–13-0.0414%16 Oct →
dust25–13-0.0416%15 Oct →
mirage14–160.0120%14 Oct →
nuke13–0-0.100%14 Oct →
ancient12–16-0.0416%14 Oct →
inferno13–100.0518%14 Oct →
mirage7–13-0.0819%12 Oct →
ancient13–5-0.037%12 Oct →
dust211–13-0.0310%12 Oct →
mirage13–90.0119%12 Oct →
mirage3–13-0.1110%12 Oct →
nuke13–7-0.0119%12 Oct →

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 →

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