KILIPÄÄ

KILIPÄÄ — CS2 Stats

FI76561198039052705[U:1:78786977]Steam profile ↗✓ No bans

962Tracked matches30%Win rate2020Tracked since
3,970Hours in CS
CSDB Rating5.0 DevelopingSupport
FaceitLevel 6 · 1,036 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,036 → 1,036
+9Tracked matches · now 962
−10.0ppWin rate · 40.0% → 30.0%

Rating over time

Faceit ELO: 1,036 +0 30 Aug – 20 Sept · 4 observations
1,0361,036peak 1,03630 Aug20 Sept
1,036Highest Faceit ELO seen on CSDB
43Days played since 2026-06-10

Faceit ELO

  • At peak — 1,036
  • Next: Level 5 at 1,051 — 15 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-30
  • Level 3 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate48.2%44.8%45.7%above
Shot accuracy18.4%12.4%12.7%above
Kill/death ratio0.901.031.050.16 short
Match win rate38.0%45.2%45.7%7.6% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKILIPÄÄFACEITLevel 6 · 1,036 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,036csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning60
Utility64

0–100 skill scores via Leetify.

Recent form

COLD39–61Last 10039%Win rateLLLLWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.6pp headshot accuracy · +1ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 24%
  • Avg reaction 473ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 490ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 490ms

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 (+1.8 against its own average).

Aim7.5
Utility6.4
Positioning6.0
Opening Duels2.6
Clutch3.4

Strong CT-side opener

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 85% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 52% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning6.0
Utility6.4
Mechanics5.8
Opening Duels2.8
Win Impact0.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time500ms−67ms
first ⅓ avg 566ms → last ⅓ avg 500ms
Headshot accuracy21.3%+2.1%
first ⅓ avg 19.1% → last ⅓ avg 21.3%

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

0.12Best match rating · 13–11 · dust2, 5 Jul →
38%Best headshot accuracy · 7–13 · cache, 25 Aug →
344msFastest reaction time · 13–2 · inferno, 22 Aug →
13–2Biggest win · inferno, 22 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
10–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 50% over 12nukeWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%-0.00
ancientC249–1538%-0.00
nukeD215–1624%-0.01
anubisB126–650%0.01
cacheC83–538%-0.02
dust2C52–340%0.05
overpass—21–150%0.01
italy—11–0100%-0.03
mirage—10–10%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (24% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,282Lifetime kills
0.90K/D
6,694Matches
38.0%Match win rate
48.2%Headshot % · Top 50% of Level 6 players
18.4%Shot accuracy · Top 10% of Level 6 players
12,252MVPs
3,970Hours (in match)
8,107Bombs planted
1,415Bombs defused

Most-used weapons

AK-4747,839
AWP13,979
AUG7,441
MAC-104,737
UMP-453,750
SG 5533,650

Lifetime map wins

11,805dust2
9,470inferno
3,800train
3,445nuke
1,166vertigo
920cbble
315lake
199safehouse

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

Faceit stats

Combat

1,182Matches
50%Win rate
1.02Avg K/D
81.3ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10046%1.1016.3
Ancient7953%1.1716.9
Nuke7246%1.0817.3
Anubis4349%1.1417.1
Overpass2181%1.1719.0
Cache1947%0.9914.1
Dust21060%1.2820.1
Mirage30%1.1017.0

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.

21.8%Headshot accuracy
33.7%Accuracy (enemy spotted)
37.8%Spray accuracy
76.1%Counter-strafing
11.4°Preaim
490msReaction time
26.7%T opening success
52.2%CT opening success
0.59Enemies flashed / flash
8.7%Flash assists
8.37HE damage / grenade
10.87Flashes / 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. 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 26.7433% — below the 40% mark we flag

Spend your practice time on Nuke

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

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0628%21 Oct →
anubis4–13-0.0219%21 Oct →
nuke8–13-0.0124%1 Oct →
inferno7–13-0.0528%1 Oct →
cache13–7-0.0523%1 Oct →
dust25–130.0118%28 Sept →
cache7–13-0.0519%23 Sept →
nuke13–100.0921%23 Sept →
nuke10–13-0.0228%17 Sept →
ancient11–13-0.0119%17 Sept →
ancient14–16-0.0224%5 Sept →
inferno16–14-0.0319%5 Sept →
nuke6–13-0.0524%5 Sept →
inferno8–13-0.0116%3 Sept →
ancient13–60.0521%3 Sept →
inferno0–13-0.069%2 Sept →
nuke13–160.0328%2 Sept →
inferno11–130.0622%26 Aug →
ancient12–16-0.0320%26 Aug →
inferno5–130.0118%26 Aug →
nuke8–13-0.0122%25 Aug →
cache7–13-0.0438%25 Aug →
cache13–7-0.0229%25 Aug →
inferno13–11-0.0022%23 Aug →
nuke9–13-0.0322%22 Aug →
anubis13–110.044%22 Aug →
inferno13–20.0826%22 Aug →
inferno13–60.0321%16 Aug →
cache7–13-0.0217%16 Aug →
nuke14–160.0025%13 Aug →
nuke25–22-0.0519%9 Aug →
inferno13–8-0.0317%9 Aug →
ancient7–13-0.0317%8 Aug →
ancient13–9-0.009%6 Aug →
inferno5–13-0.098%6 Aug →
anubis13–110.0518%5 Aug →
inferno13–80.0420%5 Aug →
nuke10–130.0311%5 Aug →
nuke6–130.0024%4 Aug →
anubis13–11-0.029%4 Aug →
ancient0–13-0.0423%4 Aug →
ancient22–250.0312%3 Aug →
ancient3–13-0.037%31 Jul →
dust29–130.0220%31 Jul →
ancient13–70.0436%28 Jul →
inferno13–80.0733%28 Jul →
cache13–8-0.0110%28 Jul →
ancient13–100.1014%27 Jul →
ancient7–130.0224%27 Jul →
inferno12–160.0022%27 Jul →
anubis14–160.0113%26 Jul →
ancient13–80.0516%26 Jul →
ancient13–80.0118%26 Jul →
nuke3–13-0.089%26 Jul →
ancient4–13-0.0418%25 Jul →
nuke8–13-0.0414%25 Jul →
inferno6–13-0.0113%24 Jul →
dust23–13-0.0024%22 Jul →
anubis1–13-0.0016%22 Jul →
nuke9–13-0.0715%22 Jul →
anubis9–13-0.0512%22 Jul →
inferno4–13-0.0615%21 Jul →
anubis13–11-0.0119%21 Jul →
inferno4–13-0.0215%21 Jul →
ancient19–220.0224%19 Jul →
nuke3–13-0.1018%19 Jul →
inferno21–25-0.0125%18 Jul →
anubis3–13-0.068%18 Jul →
nuke11–130.0314%18 Jul →
dust216–120.0927%17 Jul →
ancient11–13-0.0015%16 Jul →
inferno13–9-0.0126%16 Jul →
cache11–130.0625%12 Jul →
ancient8–13-0.0126%12 Jul →
anubis13–30.0920%12 Jul →
ancient5–13-0.0222%9 Jul →
italy13–6-0.0324%8 Jul →
anubis17–190.0217%8 Jul →
ancient13–110.0016%8 Jul →
ancient13–70.0215%7 Jul →
inferno7–13-0.0232%7 Jul →
anubis13–70.0419%7 Jul →
nuke9–130.0217%6 Jul →
inferno13–60.0720%6 Jul →
nuke13–40.0616%6 Jul →
nuke13–10-0.0313%5 Jul →
mirage11–13-0.0026%5 Jul →
ancient9–13-0.0123%5 Jul →
dust213–110.1217%5 Jul →
inferno13–9-0.0321%5 Jul →
inferno13–110.1013%28 Jun →
inferno9–13-0.0214%25 Jun →
ancient13–11-0.0621%25 Jun →
overpass13–50.0518%21 Jun →
inferno13–10-0.0119%21 Jun →
nuke10–13-0.0220%21 Jun →
nuke16–13-0.0217%11 Jun →
cache11–13-0.0117%11 Jun →
overpass11–13-0.0319%10 Jun →
inferno9–13-0.0416%10 Jun →

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.