Nåtta

Nåtta — CS2 Stats

FI76561198112616627[U:1:152350899]Steam profile ↗✓ No bans

1,209Tracked matches41%Win rate2020Tracked since
CSDB Rating4.5 DevelopingSupport
CSDB Leaderboard#55711 of 233218 tracked
FaceitLevel 6 · 1,258 ELOTop 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 10 Feb 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,638 -13 12 Feb28 Jun · 19 days played
19,75222,096peak 22,09612 Feb28 Jun
22,163Peak Premier in tracked matches
1,258Highest Faceit ELO seen on CSDB
30Days played since 2026-02-10

Faceit ELO

  • At peak — 1,258
  • Next: Level 7 at 1,351 93 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGNåttaFACEITLevel 6 · 1,258 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,258csdb.gg/stats

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Performance scores

Aim63
Positioning48
Utility52

0–100 skill scores via Leetify.

Recent form

COLD40537Last 10040%Win rateTLLTWLLTLT

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −4.9pp headshot accuracy · +0ms reaction

Win rate down 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

  • 122 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 516ms

Last 10

  • 154 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 648ms

Last 20

  • 5114 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 648ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim6.3
Utility5.2
Positioning4.8
Opening Duels1.4
Clutch2.8

Limited utility dependence

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Reaction time. 668ms 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

Aim6.3
Positioning4.8
Utility5.2
Mechanics7.3
Opening Duels1.3
Win Impact1.9

Composite 4.5/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time655ms−22ms
first ⅓ avg 677ms → last ⅓ avg 655ms
Headshot accuracy16.8%+1.2%
first ⅓ avg 15.6% → last ⅓ avg 16.8%

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

0.22Best match rating · 8–8 · vertigo, 22 Mar
36%Best headshot accuracy · 13–8 · ancient, 15 May
430msFastest reaction time · 13–6 · inferno, 28 Jun
13–1Biggest win · ancient, 14 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
72In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 60% over 10dust2Weakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoD2271532%-0.01
nukeC1771041%0.00
dust2D1751229%0.01
overpassC104640%0.00
mirageB105550%0.02
cacheA106460%0.03
anubisB63350%0.03
ancientA53260%0.00
train2020%0.01
vertigo1010%0.22

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

247Matches
48%Win rate
1.19Avg K/D
86.3ADR
37%Headshot %

Clutches & streaks

34%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2241%1.3016.6
Inferno1638%1.2616.9
Dust21547%1.2219.2
Overpass1346%1.1117.0
Ancient862%1.1617.1
Nuke729%1.3618.4
Train683%1.3522.3
Anubis333%1.2318.7

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.

17.6%Headshot accuracy
38.7%Accuracy (enemy spotted)
35.3%Spray accuracy
82.8%Counter-strafing
11.5°Preaim
668msReaction time
29.5%T opening success
40.3%CT opening success
0.52Enemies flashed / flash
9.9%Flash assists
9.57HE damage / grenade
4.95Flashes / 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 29.4613% — below the 40% mark we flag

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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno12–120.0316%12 Sept
train8–13-0.0311%12 Sept
overpass3–9-0.097%12 Sept
nuke8–8-0.045%12 Sept
inferno9–30.0615%12 Sept
ancient2–13-0.1310%11 Sept
mirage5–13-0.0826%11 Sept
dust215–15-0.0515%11 Sept
cache9–130.0214%11 Sept
nuke8–8-0.0519%11 Sept
inferno4–9-0.0816%11 Sept
anubis9–13-0.0018%9 Sept
inferno13–30.0327%9 Sept
cache0–13-0.0114%9 Sept
dust28–130.0317%9 Sept
cache13–70.1122%29 Jun
inferno13–60.0530%28 Jun
nuke13–6-0.059%28 Jun
mirage3–13-0.0420%28 Jun
nuke11–13-0.0313%18 Jun
mirage4–130.0214%18 Jun
dust29–130.0113%18 Jun
ancient13–8-0.0020%18 Jun
inferno13–70.0730%6 Jun
cache13–70.0313%18 May
inferno2–13-0.0313%18 May
ancient13–80.1236%15 May
overpass13–30.0111%15 May
cache10–13-0.0112%15 May
inferno10–130.0413%14 May
cache5–13-0.0511%14 May
ancient13–10.0735%14 May
dust215–15-0.0511%9 May
mirage13–70.1120%9 May
nuke1–13-0.0525%9 May
cache13–50.0821%9 May
cache13–80.0213%9 May
cache13–90.0422%8 May
cache13–10.0516%8 May
dust27–13-0.028%27 Apr
mirage13–16-0.0510%27 Apr
nuke13–60.0514%26 Apr
dust26–13-0.0119%26 Apr
mirage3–13-0.063%26 Apr
dust25–130.0627%25 Apr
nuke0–13-0.0513%25 Apr
dust23–13-0.0918%25 Apr
mirage13–6-0.0213%25 Apr
nuke3–9-0.1422%19 Apr
inferno1–9-0.1325%19 Apr
nuke9–20.1116%19 Apr
overpass9–70.014%19 Apr
inferno8–8-0.0220%19 Apr
overpass13–11-0.0210%12 Apr
overpass3–90.0225%12 Apr
nuke4–90.066%12 Apr
inferno13–110.0316%3 Apr
mirage13–110.0917%3 Apr
dust213–50.1019%3 Apr
nuke13–90.0916%3 Apr
train9–130.0513%2 Apr
anubis6–130.0917%2 Apr
nuke13–40.1120%23 Mar
dust212–16-0.0110%23 Mar
vertigo8–80.2232%22 Mar
inferno2–9-0.1012%22 Mar
nuke4–9-0.1311%22 Mar
dust216–14-0.0018%12 Mar
dust213–90.0424%12 Mar
overpass16–120.0820%12 Mar
inferno5–13-0.0516%3 Mar
overpass7–130.0714%3 Mar
dust27–13-0.0410%2 Mar
overpass9–13-0.0213%2 Mar
anubis13–110.004%2 Mar
anubis11–130.0310%19 Feb
inferno3–13-0.108%17 Feb
mirage13–50.0929%17 Feb
inferno5–13-0.0317%17 Feb
dust213–70.1018%17 Feb
nuke10–130.048%17 Feb
dust210–130.0920%13 Feb
nuke9–40.0620%13 Feb
inferno4–90.0325%13 Feb
inferno13–70.1421%12 Feb
overpass2–13-0.0214%12 Feb
dust216–14-0.0414%12 Feb
ancient3–13-0.0310%12 Feb
inferno10–130.0318%12 Feb
anubis13–70.0212%12 Feb
nuke13–90.0223%12 Feb
overpass8–13-0.034%12 Feb
inferno1–9-0.2725%12 Feb
dust210–130.029%12 Feb
inferno6–130.0522%11 Feb
mirage13–60.1017%11 Feb
nuke9–130.0611%11 Feb
inferno9–10.1520%11 Feb
anubis13–30.0315%11 Feb
inferno8–13-0.075%10 Feb

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 →