Kikkelipää666

Kikkelipää666 — CS2 Stats

FI76561197968488245[U:1:8222517]Steam profile ↗✓ No bans

937Tracked matches55%Win rate2020Tracked since
2,597Hours in CS14Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
Premier CS Rating15,694Purple band · top ~25.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,694 +2,939 18 Sept – 3 Nov · 35 days played
12,03815,694peak 15,69418 Sept3 Nov
15,805Peak Premier in tracked matches
35Days played since 2026-09-18

Premier CS Rating

  • At peak — 15,694
  • +1,134 over 30 days · improving
  • Next: Pink band at 20,000 — 4,306 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-10-19
  • Light Blue band first seen 2026-10-19

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate33.7%44.4%46.9%13.2% short
Shot accuracy10.2%11.9%13.0%2.8% short
Kill/death ratio0.961.031.080.13 short
Match win rate45.1%45.2%46.7%1.6% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKikkelipää666PREMIER15,694 · Purple bandcsdb.gg/stats

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Performance scores

Aim40
Positioning49
Utility52

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateLWWLWWLWWW

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · −0.6pp headshot accuracy · +40ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 582ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim4.0
Utility5.2
Positioning4.9
Opening Duels1.7

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

iM

Plays most like iM 72% 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

CT openings. Opening success drops from 54% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0
Positioning4.9
Utility5.2
Mechanics3.3
Opening Duels3.3
Win Impact6.7

Composite 4.5/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time570ms+37ms
first ⅓ avg 534ms → last ⅓ avg 570ms
Headshot accuracy12.6%+1.3%
first ⅓ avg 11.3% → last ⅓ avg 12.6%

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

0.13Best match rating · 13–5 · mirage, 29 Oct →
25%Best headshot accuracy · 0–6 · ancient, 16 Oct →
313msFastest reaction time · 16–14 · inferno, 29 Sept →
13–2Biggest win · dust2, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 75% over 20ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheS2015–575%0.03
infernoA1911–858%-0.01
dust2C187–1139%0.00
mirageC146–843%0.02
nukeB126–650%-0.00
anubisD93–633%-0.01
ancientD82–625%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,132Lifetime kills
0.96K/D
3,531Matches
45.1%Match win rate
33.7%Headshot %
10.2%Shot accuracy
6,261MVPs
1,596Hours (in match)
6,144Bombs planted
1,099Bombs defused

Most-used weapons

AK-477,320
P906,723
AWP6,556
FAMAS2,580
P2502,078

Lifetime map wins

7,846dust2
5,966inferno
2,968nuke
542train
542vertigo
511cbble
187office
106dust

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.

12.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
33.8%Spray accuracy
64.9%Counter-strafing
12.0°Preaim
566msReaction time
53.5%T opening success
32.7%CT opening success
0.49Enemies flashed / flash
4.9%Flash assists
5.93HE damage / grenade
11.97Flashes / 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 12.0184% — below the 15% 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 0.4863 — 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 32.6913% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–160.026%3 Nov →
cache13–70.0121%3 Nov →
ancient13–90.0814%31 Oct →
dust211–130.0312%29 Oct →
cache13–30.0621%29 Oct →
mirage13–50.1318%29 Oct →
mirage3–13-0.039%29 Oct →
cache13–40.0613%28 Oct →
mirage13–110.088%28 Oct →
cache13–100.0210%27 Oct →
cache13–60.022%27 Oct →
cache13–50.0414%26 Oct →
nuke13–7-0.0314%25 Oct →
dust23–13-0.0113%25 Oct →
mirage1–9-0.0423%25 Oct →
inferno13–100.0013%24 Oct →
inferno13–3-0.0413%23 Oct →
dust213–20.0415%23 Oct →
nuke1–13-0.0614%23 Oct →
inferno13–60.0017%22 Oct →
nuke0–13-0.0114%22 Oct →
anubis9–130.029%22 Oct →
inferno13–80.0618%22 Oct →
cache13–160.007%21 Oct →
nuke13–40.0814%21 Oct →
mirage11–13-0.0414%20 Oct →
anubis15–15-0.0113%20 Oct →
inferno10–130.067%19 Oct →
inferno7–13-0.036%19 Oct →
ancient6–13-0.056%19 Oct →
cache13–11-0.0415%18 Oct →
mirage5–13-0.0613%18 Oct →
nuke9–130.0212%18 Oct →
inferno11–13-0.0115%18 Oct →
cache13–100.074%16 Oct →
mirage9–130.0710%16 Oct →
ancient0–6-0.0625%16 Oct →
nuke8–130.0114%16 Oct →
nuke13–50.0224%15 Oct →
nuke13–20.0619%15 Oct →
inferno13–90.0613%13 Oct →
dust213–30.057%13 Oct →
dust28–130.0412%13 Oct →
mirage8–130.0213%13 Oct →
cache13–60.0816%12 Oct →
anubis7–13-0.0315%12 Oct →
inferno7–13-0.045%12 Oct →
dust29–130.0116%12 Oct →
ancient13–70.047%11 Oct →
inferno15–15-0.075%11 Oct →
inferno16–13-0.052%8 Oct →
ancient10–13-0.038%8 Oct →
dust26–13-0.0118%8 Oct →
cache11–13-0.0114%8 Oct →
anubis13–11-0.0214%6 Oct →
mirage13–50.106%6 Oct →
cache13–11-0.027%6 Oct →
nuke2–13-0.055%5 Oct →
anubis6–130.007%5 Oct →
dust21–13-0.110%5 Oct →
dust213–40.0218%5 Oct →
dust213–90.0711%4 Oct →
cache13–110.0511%4 Oct →
dust216–130.0215%4 Oct →
dust23–130.0513%4 Oct →
cache13–80.077%2 Oct →
dust27–13-0.0511%2 Oct →
nuke13–7-0.086%2 Oct →
cache13–30.0523%2 Oct →
cache8–13-0.0411%2 Oct →
dust27–13-0.026%1 Oct →
dust25–13-0.0111%1 Oct →
inferno5–13-0.115%1 Oct →
inferno10–13-0.0215%30 Sept →
inferno7–130.028%30 Sept →
ancient9–13-0.055%30 Sept →
nuke13–70.0115%29 Sept →
inferno16–14-0.025%29 Sept →
mirage13–90.0215%28 Sept →
inferno13–50.028%28 Sept →
mirage11–130.0022%27 Sept →
nuke7–13-0.0319%27 Sept →
anubis8–13-0.017%27 Sept →
anubis3–13-0.0610%27 Sept →
cache13–110.0713%23 Sept →
mirage13–100.0011%22 Sept →
anubis13–110.006%22 Sept →
dust213–50.0323%21 Sept →
inferno13–7-0.026%21 Sept →
cache9–130.0617%21 Sept →
dust213–5-0.0611%20 Sept →
mirage7–13-0.0710%20 Sept →
anubis13–40.0211%20 Sept →
inferno16–140.0313%19 Sept →
dust24–13-0.074%19 Sept →
cache5–130.0413%19 Sept →
ancient10–130.076%19 Sept →
mirage13–70.0214%18 Sept →
cache13–20.009%18 Sept →
inferno13–10-0.0216%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 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.