Laeetinen

Laeetinen — CS2 Stats

FI76561198287980457[U:1:327714729]Steam profile ↗✓ No bans

336Tracked matches45%Win rate2020Tracked since
1,198Hours in CS0Hrs last 2 wks
CSDB Rating3.5 LearningSupport
Premier CS Rating6,889Light Blue band · top ~69.8% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (17 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: 6,889 +323 8 Sept – 19 Oct · 13 days played
6,1188,301peak 8,3018 Sept19 Oct
8,301Peak Premier in tracked matches
30Days played since 2025-12-18

Premier CS Rating

  • 1,412 below peak (8,301)
  • +771 over 30 days · improving
  • Next: Blue band at 10,000 — 3,111 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate41.6%39.9%42.0%meets
Shot accuracy10.9%7.0%9.6%above
Kill/death ratio0.790.920.980.19 short
Match win rate43.8%42.3%43.8%meets

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGLaeetinenPREMIER6,889 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning44
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46–49–5Last 10046%Win rateTLLLWWWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · −0.0pp headshot accuracy · +132ms reaction

Win rate up 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 694ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 732ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 666ms

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 (+1.5 against its own average).

Aim4.2
Utility4.5
Positioning4.4
Opening Duels0.2

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 76% 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. 668ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.2
Positioning4.4
Utility4.5
Mechanics4.3
Opening Duels1.2
Win Impact3.3

Composite 3.5/10 (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-0.02+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time669ms−49ms
first ⅓ avg 718ms → last ⅓ avg 669ms
Headshot accuracy13.8%−5.6%
first ⅓ avg 19.3% → last ⅓ avg 13.8%

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

0.08Best match rating · 5–13 · dust2, 11 Sept →
44%Best headshot accuracy · 13–4 · cache, 8 Sept →
453msFastest reaction time · 8–13 · ancient, 19 Sept →
13–2Biggest win · ancient, 5 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 64% over 11infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
ancientC2310–1343%-0.04
cacheB147–750%-0.02
infernoD144–1029%-0.01
nukeA117–464%-0.01
officeA106–460%-0.04
mirageB105–550%-0.01
dust2D93–633%-0.02
anubisD62–433%-0.02
overpass—32–167%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,082Lifetime kills
0.79K/D
860Matches
43.8%Match win rate · Top 50% of Light Blue band
41.6%Headshot % · Top 50% of Light Blue band
10.9%Shot accuracy · Top 50% of Light Blue band
2,480MVPs
346Hours (in match)
623Bombs planted
181Bombs defused

Most-used weapons

Lifetime map wins

1,121inferno
865dust2
479nuke
421vertigo
209train
178office
32cbble
8italy

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

Faceit stats

Combat

4Matches
50%Win rate
0.54Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLLW

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.

13.7%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.2%Spray accuracy
69.4%Counter-strafing
10.7°Preaim
668msReaction time
35.1%T opening success
34.8%CT opening success
0.49Enemies flashed / flash
3.2%Flash assists
8.03HE damage / grenade
7.09Flashes / 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 13.7169% — 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 0.4865 — 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 35.1307% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office12–120.0211%20 Oct →
mirage11–13-0.039%19 Oct →
ancient3–13-0.097%30 Sept →
cache3–13-0.0315%30 Sept →
nuke13–9-0.0113%20 Sept →
inferno13–110.0113%20 Sept →
inferno9–40.0623%20 Sept →
mirage13–80.006%20 Sept →
mirage7–20.0626%20 Sept →
anubis11–10.0211%20 Sept →
ancient3–13-0.1012%19 Sept →
inferno11–13-0.069%19 Sept →
ancient8–13-0.0611%19 Sept →
nuke4–13-0.0513%18 Sept →
dust28–130.0021%18 Sept →
cache13–8-0.0512%18 Sept →
ancient13–9-0.0416%18 Sept →
cache8–13-0.058%18 Sept →
anubis8–13-0.015%17 Sept →
nuke13–7-0.0026%17 Sept →
cache16–14-0.0611%17 Sept →
cache3–13-0.0323%17 Sept →
cache9–13-0.0416%17 Sept →
nuke16–12-0.0422%16 Sept →
ancient12–160.0620%16 Sept →
anubis6–13-0.0210%13 Sept →
ancient5–13-0.034%13 Sept →
cache13–9-0.0716%13 Sept →
nuke11–13-0.0516%13 Sept →
mirage13–7-0.0212%13 Sept →
cache11–13-0.0122%12 Sept →
ancient13–7-0.044%12 Sept →
nuke13–9-0.0211%12 Sept →
dust216–13-0.0419%11 Sept →
mirage11–130.0213%11 Sept →
dust25–130.0820%11 Sept →
ancient6–13-0.0519%11 Sept →
nuke13–7-0.028%11 Sept →
inferno8–13-0.0316%11 Sept →
nuke7–13-0.066%11 Sept →
nuke13–30.0621%10 Sept →
inferno11–130.0416%10 Sept →
anubis13–100.0212%10 Sept →
ancient13–6-0.056%10 Sept →
ancient11–13-0.0214%9 Sept →
dust215–150.0318%9 Sept →
cache11–2-0.0321%9 Sept →
dust216–12-0.0310%8 Sept →
ancient13–5-0.0015%8 Sept →
nuke13–50.0011%8 Sept →
ancient13–11-0.0110%8 Sept →
cache10–130.0516%8 Sept →
cache13–4-0.0144%8 Sept →
mirage13–7-0.0113%8 Sept →
ancient2–80.0226%7 Sept →
ancient15–15-0.048%7 Sept →
cache13–160.0012%7 Sept →
nuke10–130.0432%7 Sept →
inferno13–16-0.0118%7 Sept →
cache13–11-0.0214%6 Sept →
mirage11–13-0.0130%6 Sept →
office13–9-0.0335%5 Sept →
office13–6-0.1117%5 Sept →
anubis5–13-0.0719%5 Sept →
dust26–13-0.0517%5 Sept →
mirage6–00.040%5 Sept →
ancient6–13-0.1215%5 Sept →
cache13–70.0328%5 Sept →
ancient13–2-0.0418%5 Sept →
office13–30.0430%4 Sept →
office9–13-0.1130%31 Aug →
office10–1-0.0133%31 Aug →
office5–13-0.0615%31 Aug →
office8–2-0.0624%31 Aug →
office13–3-0.0215%31 Aug →
office6–13-0.0612%31 Aug →
anubis6–13-0.063%25 Aug →
inferno8–13-0.0122%25 Aug →
ancient4–13-0.1116%25 Aug →
mirage7–13-0.0817%14 Aug →
mirage10–13-0.0614%22 May →
inferno9–30.0521%30 Mar →
inferno7–90.0023%30 Mar →
ancient14–160.0215%22 Jan →
ancient13–9-0.039%11 Jan →
dust213–10-0.0318%11 Jan →
inferno6–13-0.0335%10 Jan →
overpass13–100.0123%10 Jan →
dust29–13-0.0814%9 Jan →
overpass13–70.0220%9 Jan →
inferno13–8-0.0321%9 Jan →
inferno11–13-0.0414%5 Jan →
ancient13–5-0.0214%5 Jan →
overpass3–13-0.0811%3 Jan →
ancient13–11-0.0213%3 Jan →
inferno12–12-0.0425%3 Jan →
inferno9–13-0.0623%3 Jan →
ancient13–5-0.0414%3 Jan →
ancient1–13-0.0920%18 Dec →
dust212–12-0.0427%18 Dec →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.