KlarnaLaakkone

KlarnaLaakkone — CS2 Stats

JP76561198948760290[U:1:988494562]Steam profile ↗✓ No bans

1,096Tracked matches24%Win rate2022Tracked since
604Hours in CS
CSDB Rating2.4 LearningPositional Player
FaceitLevel 3 · 786 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,056 -1,394 18 Oct – 7 Jan · 15 days played
2,7594,450peak 4,45018 Oct7 Jan
4,652Peak Premier in tracked matches
786Highest Faceit ELO seen on CSDB
30Days played since 2025-10-18

Faceit ELO

  • At peak — 786
  • Next: Level 4 at 901 — 115 to go
  • Reached: Level 3 · Level 2

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.3%41.8%42.7%4.5% short
Shot accuracy9.8%12.2%11.2%1.4% short
Kill/death ratio0.620.980.990.37 short
Match win rate31.0%43.3%43.9%12.9% short

This profile sits below the typical Level 4 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKlarnaLaakkoneFACEITLevel 3 · 786 ELOSTANDINGTop 90.6% of rankedPEAK ELO786csdb.gg/stats

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Performance scores

Aim33
Positioning40
Utility25

0–100 skill scores via Leetify.

Recent form

COLD34–60–6Last 10034%Win rateLLLWLLWWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.9pp headshot accuracy · −45ms 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 -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 573ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 581ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 603ms

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 (+2.1 against its own average).

Aim3.3
Utility2.5
Positioning4.0
Opening Duels0.5
Clutch0.6

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

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.3
Positioning4.0
Utility2.5
Mechanics3.1
Opening Duels0.5
Win Impact0.0

Composite 2.4/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time642ms−28ms
first ⅓ avg 670ms → last ⅓ avg 642ms
Headshot accuracy12.5%+0.9%
first ⅓ avg 11.6% → last ⅓ avg 12.5%

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

0.16Best match rating · 9–4 · rooftop, 4 Nov →
33%Best headshot accuracy · 3–13 · mirage, 6 Apr →
477msFastest reaction time · 3–13 · office, 16 Oct →
13–1Biggest win · nuke, 18 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 57% over 7overpassWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3012–1840%-0.02
nukeD174–1324%-0.00
dust2D133–1023%-0.05
ancientA95–456%-0.01
overpassD70–70%-0.04
infernoA74–357%0.01
officeD62–433%-0.04
trainC52–340%-0.03
debris—10–10%-0.06
italy—11–0100%-0.04
fachwerk—10–10%-0.08
anubis—10–10%-0.03
agency—10–10%-0.02
rooftop—11–0100%0.16

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,478Lifetime kills
0.62K/D
1,765Matches
31.0%Match win rate
38.3%Headshot %
9.8%Shot accuracy
1,638MVPs
604Hours (in match)
1,805Bombs planted
233Bombs defused

Most-used weapons

Lifetime map wins

2,760nuke
1,918dust2
1,191inferno
513vertigo
355train
121lake
110office
20italy

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

Faceit stats

Combat

74Matches
46%Win rate
0.81Avg K/D
68.6ADR
38%Headshot %

Clutches & streaks

23%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3043%0.8913.0
Ancient1233%0.6611.5
Dust2956%0.9314.6
Nuke933%0.7312.8
Inferno667%0.7811.7
Anubis367%0.9512.7
Train1100%0.285.0
Overpass1100%0.8814.0

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.

12.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.6%Spray accuracy
64.0%Counter-strafing
11.8°Preaim
640msReaction time
34.2%T opening success
29.3%CT opening success
0.41Enemies flashed / flash
2.2%Flash assists
6.49HE damage / grenade
5.52Flashes / 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 12.2454% — 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 0.4137 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 34.1766% — below the 40% mark we flag

Spend your practice time on Overpass

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 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
office3–13-0.054%16 Oct →
office4–13-0.0319%16 Oct →
mirage5–13-0.047%16 Oct →
nuke13–60.0512%27 Sept →
debris5–9-0.068%27 Sept →
office11–13-0.0724%27 Sept →
italy13–10-0.0418%16 Sept →
office13–60.0013%16 Sept →
mirage11–13-0.085%16 Sept →
office3–13-0.130%16 Sept →
fachwerk3–13-0.085%16 Sept →
train2–10-0.0113%16 Sept →
ancient13–11-0.039%16 Sept →
mirage9–13-0.0410%13 Sept →
dust212–12-0.0610%13 Sept →
dust213–7-0.033%12 Sept →
nuke13–50.0912%12 Sept →
overpass4–13-0.0711%8 Apr →
dust210–13-0.1115%6 Apr →
mirage4–13-0.0614%6 Apr →
mirage3–13-0.0433%6 Apr →
mirage3–13-0.0721%4 Feb →
dust27–13-0.0617%2 Feb →
nuke8–13-0.074%28 Jan →
anubis9–13-0.039%28 Jan →
mirage5–13-0.0516%27 Jan →
inferno10–130.1014%27 Jan →
nuke11–130.0618%27 Jan →
nuke11–13-0.002%26 Jan →
inferno13–110.0116%26 Jan →
mirage3–13-0.0815%26 Jan →
mirage10–130.0218%14 Jan →
overpass11–130.0017%7 Jan →
inferno13–4-0.016%7 Jan →
train13–5-0.0423%6 Jan →
mirage4–13-0.0611%5 Jan →
office13–80.0126%7 Dec →
nuke9–13-0.0714%7 Dec →
agency10–13-0.0211%7 Dec →
dust20–13-0.098%3 Dec →
mirage13–50.0620%3 Dec →
mirage16–14-0.0416%3 Dec →
ancient13–11-0.0020%29 Nov →
nuke9–13-0.0111%29 Nov →
mirage13–40.0717%29 Nov →
dust23–13-0.0811%29 Nov →
mirage2–13-0.0219%29 Nov →
nuke9–130.0115%21 Nov →
train8–13-0.0031%21 Nov →
mirage4–13-0.0713%20 Nov →
ancient6–130.0312%20 Nov →
nuke3–130.0120%20 Nov →
inferno13–100.023%20 Nov →
mirage13–90.0317%20 Nov →
mirage6–13-0.029%20 Nov →
overpass5–13-0.008%20 Nov →
ancient13–9-0.0324%20 Nov →
nuke4–13-0.0415%19 Nov →
mirage9–13-0.0814%19 Nov →
mirage13–4-0.006%19 Nov →
mirage13–7-0.0112%19 Nov →
dust211–13-0.056%18 Nov →
inferno11–13-0.037%18 Nov →
ancient13–70.0015%18 Nov →
nuke9–13-0.020%18 Nov →
mirage2–13-0.0415%18 Nov →
dust213–7-0.046%18 Nov →
dust25–13-0.068%18 Nov →
nuke13–10.016%18 Nov →
dust215–15-0.0417%18 Nov →
overpass4–13-0.0413%18 Nov →
dust213–80.0112%17 Nov →
mirage13–6-0.0310%17 Nov →
mirage7–13-0.0526%17 Nov →
mirage13–30.0310%17 Nov →
ancient13–20.0724%17 Nov →
mirage13–90.0618%17 Nov →
mirage16–140.0012%17 Nov →
inferno13–100.068%16 Nov →
ancient9–13-0.037%16 Nov →
nuke4–13-0.064%16 Nov →
dust29–13-0.029%16 Nov →
ancient13–16-0.018%16 Nov →
nuke15–15-0.048%16 Nov →
overpass8–130.017%16 Nov →
rooftop9–40.1616%4 Nov →
inferno3–9-0.0629%4 Nov →
overpass1–13-0.106%4 Nov →
nuke7–13-0.0713%4 Nov →
ancient3–13-0.073%27 Oct →
mirage12–16-0.026%23 Oct →
overpass5–13-0.069%23 Oct →
mirage13–110.0320%23 Oct →
dust212–12-0.079%19 Oct →
train12–12-0.059%19 Oct →
train13–5-0.047%18 Oct →
nuke13–9-0.019%18 Oct →
mirage12–12-0.0118%18 Oct →
mirage13–9-0.0212%18 Oct →
nuke5–130.0810%18 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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