napostelen kakkaa

napostelen kakkaa — CS2 Stats

76561197972220382[U:1:11954654]Steam profile ↗✓ No bans

1,625Tracked matches45%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating20,378Top 50% of 213,399 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)
CSDB Leaderboard#78519 of 260020 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (22 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: 20,378 +895 13 Mar – 14 Oct · 49 days played
18,02021,738peak 21,73813 Mar14 Oct
Faceit ELO: 1,778 +0 18 Sept – 4 Oct · 3 observations
1,7781,778peak 1,77818 Sept4 Oct
21,738Peak Premier in tracked matches
1,778Highest Faceit ELO seen on CSDB
56Days played since 2026-03-13

Faceit ELO

  • At peak — 1,778
  • Next: Level 10 at 2,001 — 223 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier CS Rating

  • 1,360 below peak (21,738)
  • -1,118 over 30 days · declining
  • Next: Red band at 25,000 — 4,622 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-18
  • Purple band first seen 2026-09-18

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.GGnapostelen kakkaaPREMIER20,378 · Pink bandPEAK ELO1,778csdb.gg/stats

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Performance scores

Aim65
Positioning66
Utility59

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateWWLLLLLLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −2.0pp headshot accuracy · −7ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 592ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 578ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

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 (+0.8 against its own average).

Aim6.5
Utility5.9
Positioning6.6
Opening Duels6.4
Clutch4.2

Strong T-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

device

Plays most like device 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.5
Positioning6.6
Utility5.9
Mechanics5.7
Opening Duels5.1
Win Impact3.3

Composite 6.0/10 (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 time582ms−79ms
first ⅓ avg 661ms → last ⅓ avg 582ms
Headshot accuracy17.8%−0.1%
first ⅓ avg 17.9% → last ⅓ avg 17.8%

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

0.20Best match rating · 13–4 · ancient, 14 Oct →
32%Best headshot accuracy · 7–13 · inferno, 26 Aug →
391msFastest reaction time · 13–8 · nuke, 19 Aug →
13–2Biggest win · anubis, 15 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
11–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 62% over 13infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2212–1055%0.01
ancientB168–850%0.01
dust2A169–756%0.02
anubisC156–940%0.01
cacheA138–562%0.02
mirageD113–827%-0.03
infernoD61–517%0.00
overpass—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,039Matches
51%Win rate
1.26Avg K/D
87.4ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke4062%1.3219.4
Ancient3847%1.1417.8
Mirage2339%1.2917.7
Anubis2045%1.2318.6
Dust21850%1.2817.1
Overpass757%1.3418.1
Inferno560%1.2419.2
Train425%1.2417.5

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.

18.0%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.1%Spray accuracy
75.9%Counter-strafing
10.6°Preaim
583msReaction time
54.4%T opening success
46.8%CT opening success
0.60Enemies flashed / flash
6.8%Flash assists
9.24HE damage / grenade
10.26Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–30.084%14 Oct →
ancient13–40.2027%14 Oct →
inferno6–130.0014%28 Sept →
mirage1–13-0.1013%28 Sept →
mirage9–130.0614%22 Sept →
nuke4–13-0.0614%19 Sept →
anubis11–130.0024%19 Sept →
nuke14–16-0.0117%18 Sept →
anubis7–130.0521%18 Sept →
ancient13–70.0716%16 Sept →
cache8–130.0925%16 Sept →
anubis13–20.0716%15 Sept →
cache9–130.0525%11 Sept →
inferno13–11-0.0114%11 Sept →
ancient7–13-0.047%11 Sept →
ancient5–13-0.0711%10 Sept →
nuke13–30.0218%9 Sept →
cache13–30.0924%6 Sept →
nuke13–50.0319%6 Sept →
anubis5–13-0.0224%6 Sept →
cache13–10-0.0119%4 Sept →
dust24–13-0.0128%4 Sept →
dust213–10-0.0220%3 Sept →
anubis15–150.0221%3 Sept →
anubis13–70.0110%2 Sept →
cache11–13-0.0115%2 Sept →
anubis5–13-0.0417%31 Aug →
nuke13–8-0.0121%31 Aug →
ancient13–100.0020%31 Aug →
ancient6–130.0619%30 Aug →
anubis13–100.1013%30 Aug →
mirage5–13-0.0422%28 Aug →
ancient13–160.0116%28 Aug →
cache13–90.0427%27 Aug →
dust213–90.0724%26 Aug →
cache13–110.1328%26 Aug →
inferno7–130.0132%26 Aug →
dust213–11-0.0122%26 Aug →
ancient13–60.0817%25 Aug →
inferno8–13-0.0122%24 Aug →
nuke13–7-0.0415%24 Aug →
ancient9–13-0.0125%23 Aug →
mirage13–8-0.0213%23 Aug →
anubis7–13-0.0410%23 Aug →
nuke4–13-0.0014%20 Aug →
mirage4–13-0.0521%20 Aug →
cache13–6-0.0217%19 Aug →
nuke13–80.0213%19 Aug →
cache13–11-0.0119%19 Aug →
nuke11–130.0117%19 Aug →
ancient13–9-0.0319%17 Aug →
cache13–11-0.068%17 Aug →
mirage16–12-0.0111%13 Aug →
dust213–110.009%12 Aug →
anubis9–13-0.067%7 Aug →
ancient7–130.0120%7 Aug →
cache13–30.0219%6 Aug →
dust213–11-0.0122%6 Aug →
cache9–13-0.0126%5 Aug →
nuke13–70.0213%5 Aug →
dust25–130.0323%2 Aug →
nuke9–13-0.0114%2 Aug →
nuke13–70.0217%16 Jul →
cache8–13-0.0611%16 Jul →
nuke13–8-0.039%30 Jun →
ancient8–13-0.0218%18 Jun →
mirage10–13-0.0516%18 Jun →
overpass8–13-0.0215%6 Jun →
nuke5–130.0126%2 Jun →
anubis6–13-0.0310%2 Jun →
anubis11–130.0313%23 May →
ancient13–9-0.0229%20 May →
mirage2–13-0.0420%20 May →
dust213–6-0.0012%18 May →
anubis13–30.0216%18 May →
nuke7–13-0.0718%13 May →
dust211–130.0111%11 May →
nuke13–50.1319%6 May →
dust25–130.0325%5 May →
dust210–130.0816%3 May →
mirage13–2-0.008%22 Apr →
dust27–130.0616%22 Apr →
dust213–40.1320%10 Apr →
anubis13–110.0013%10 Apr →
nuke15–150.0017%10 Apr →
inferno10–130.0716%9 Apr →
dust210–130.0327%9 Apr →
ancient13–11-0.0118%7 Apr →
nuke6–13-0.0220%2 Apr →
ancient13–80.0120%2 Apr →
inferno9–13-0.0516%1 Apr →
nuke13–100.0113%29 Mar →
mirage4–13-0.0425%20 Mar →
nuke13–60.0618%18 Mar →
dust213–80.0223%18 Mar →
anubis13–110.0922%17 Mar →
nuke9–13-0.0219%17 Mar →
ancient13–16-0.0412%15 Mar →
dust213–11-0.0120%13 Mar →
mirage9–13-0.0319%13 Mar →

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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