Kikkelimies1337

Kikkelimies1337 — CS2 Stats

AX76561198442581325[U:1:482315597]Steam profile ↗✓ No bans

3,457Tracked matches60%Win rate2021Tracked since
CSDB Rating6.9 SolidPositional Player
Premier CS Rating24,506Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#28128 of 259996 tracked
FaceitLevel 10 · 2,121 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 24,506 +4,507 11 Aug – 4 Nov · 32 days played
18,90324,801peak 24,80111 Aug4 Nov
Faceit ELO: 2,121 +0 9 Sept – 23 Sept · 5 observations
2,1212,121peak 2,1219 Sept23 Sept
24,999Peak Premier in tracked matches
2,121Highest Faceit ELO seen on CSDB
34Days played since 2026-08-10

Faceit ELO

  • At peak — 2,121
  • Next: 2,500 ELO at 2,500 — 379 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-09
  • Level 9 first seen 2026-09-09

Premier CS Rating

  • 295 below peak (24,801)
  • +3,965 over 30 days · improving
  • +4,507 over 90 days
  • Next: Red band at 25,000 — 494 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKikkelimies1337FACEITLevel 10 · 2,121 ELOSTANDINGTop 12.4% of rankedPREMIER24,506 · Pink bandPEAK ELO2,121csdb.gg/stats

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Performance scores

Aim79
Positioning68
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLLWLWLWLLW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −5.1pp headshot accuracy · −77ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 534ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 521ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 559ms

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).

Aim7.9
Utility4.8
Positioning6.8
Opening Duels3.2
Clutch3.0

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

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, 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.

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

Aim7.9
Positioning6.8
Utility4.8
Mechanics6.7
Opening Duels4.8
Win Impact8.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time548ms−1ms
first ⅓ avg 549ms → last ⅓ avg 548ms
Headshot accuracy23.9%+0.2%
first ⅓ avg 23.8% → last ⅓ avg 23.9%

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 · 13–10 · vertigo, 28 Sept →
43%Best headshot accuracy · 9–1 · inferno, 16 Sept →
406msFastest reaction time · 4–13 · dust2, 12 Aug →
13–0Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 70% over 20dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.01
anubisS2014–670%0.03
ancientB168–850%0.03
dust2D91–811%0.02
infernoD92–722%-0.00
nukeD72–529%0.02
vertigoC52–340%0.03
overpass—32–167%0.08
cache—21–150%0.03
train—20–20%-0.01
office—22–0100%0.08
debris—11–0100%-0.02
poseidon—11–0100%0.11
eldorado—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,491Matches
52%Win rate
1.08Avg K/D
81.2ADR
51%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient31458%1.2117.3
Mirage29848%1.0816.6
Anubis22051%1.1116.1
Nuke10447%1.0815.3
Vertigo7059%1.2817.0
Overpass4233%1.0716.7
Dust24144%1.0315.7
Inferno3642%1.0214.2

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.

24.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.4%Spray accuracy
80.0%Counter-strafing
9.6°Preaim
540msReaction time
51.7%T opening success
46.8%CT opening success
0.51Enemies flashed / flash
5.9%Flash assists
9.64HE damage / grenade
8.93Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.1022%4 Nov →
mirage3–13-0.0223%4 Nov →
dust213–00.0514%4 Nov →
dust25–130.0322%4 Nov →
anubis4–00.0325%4 Nov →
inferno11–130.0224%4 Nov →
mirage13–100.0523%3 Nov →
dust22–130.0423%3 Nov →
mirage9–130.0324%3 Nov →
anubis13–8-0.0522%29 Oct →
mirage13–60.0329%29 Oct →
ancient13–00.0240%29 Oct →
overpass13–80.0632%29 Oct →
mirage10–13-0.0232%29 Oct →
cache3–13-0.0435%29 Oct →
inferno13–00.1121%29 Oct →
mirage16–130.0519%29 Oct →
nuke13–90.0930%29 Oct →
anubis13–20.1320%29 Oct →
mirage13–11-0.0116%29 Oct →
anubis13–5-0.0028%27 Oct →
dust211–13-0.0112%27 Oct →
mirage6–13-0.0229%25 Oct →
anubis10–130.0932%25 Oct →
ancient13–70.1132%25 Oct →
cache13–100.0925%25 Oct →
anubis13–11-0.0022%25 Oct →
mirage16–14-0.0313%23 Oct →
anubis6–130.0029%23 Oct →
mirage13–8-0.0315%23 Oct →
mirage13–100.0424%23 Oct →
nuke9–13-0.0612%23 Oct →
train11–13-0.0421%21 Oct →
dust25–13-0.0223%15 Oct →
inferno7–13-0.0528%15 Oct →
mirage13–100.0023%14 Oct →
anubis13–100.0227%11 Oct →
ancient13–10-0.0324%11 Oct →
ancient6–130.0321%10 Oct →
overpass13–50.0935%9 Oct →
office13–80.0838%9 Oct →
train7–130.0220%8 Oct →
nuke6–13-0.0328%8 Oct →
anubis13–70.0117%7 Oct →
mirage13–10-0.0130%7 Oct →
ancient7–13-0.0516%4 Oct →
mirage13–7-0.019%4 Oct →
mirage13–50.0717%29 Sept →
anubis13–110.0921%29 Sept →
ancient13–80.0727%28 Sept →
anubis13–60.1129%28 Sept →
ancient5–13-0.0217%28 Sept →
vertigo13–100.1825%28 Sept →
inferno3–13-0.0422%26 Sept →
ancient13–90.1225%26 Sept →
dust210–130.1023%25 Sept →
dust27–130.0919%25 Sept →
ancient5–130.0323%23 Sept →
inferno10–130.0224%23 Sept →
inferno9–130.0429%23 Sept →
vertigo8–13-0.0316%23 Sept →
ancient9–13-0.0521%23 Sept →
anubis13–80.0832%23 Sept →
inferno5–90.0519%21 Sept →
inferno3–9-0.0638%21 Sept →
office13–80.0836%21 Sept →
nuke8–130.1431%20 Sept →
ancient7–130.0319%18 Sept →
mirage13–60.0618%17 Sept →
mirage5–130.0314%17 Sept →
debris9–5-0.0225%16 Sept →
poseidon9–50.1119%16 Sept →
eldorado4–9-0.1436%16 Sept →
vertigo9–70.0934%16 Sept →
vertigo4–9-0.1226%16 Sept →
nuke9–60.0926%16 Sept →
inferno9–1-0.0943%16 Sept →
overpass8–80.0931%16 Sept →
mirage11–130.0130%16 Sept →
mirage13–80.0724%14 Sept →
anubis13–60.1226%14 Sept →
mirage9–13-0.0519%9 Sept →
anubis13–110.0121%9 Sept →
vertigo4–90.0314%5 Sept →
mirage5–13-0.0121%5 Sept →
ancient11–130.0721%5 Sept →
anubis5–13-0.0213%5 Sept →
dust217–19-0.0317%1 Sept →
nuke9–13-0.0426%1 Sept →
ancient7–13-0.0319%1 Sept →
anubis4–13-0.0018%1 Sept →
anubis15–150.0230%28 Aug →
nuke10–13-0.0516%13 Aug →
anubis13–50.0222%12 Aug →
ancient13–90.0720%12 Aug →
dust24–13-0.0328%12 Aug →
anubis16–140.0015%11 Aug →
ancient13–110.0033%11 Aug →
ancient13–60.0635%11 Aug →
anubis2–13-0.0325%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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