Frygt Ikke Tro Kun

Frygt Ikke Tro Kun — CS2 Stats

DK76561197970599566[U:1:10333838]Steam profile ↗✓ No bans

1,505Tracked matches41%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating22,335Top 50% of 215,386 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#52823 of 261523 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 22,335 +2,761 8 Apr – 13 Nov · 26 days played
19,57422,551peak 22,5518 Apr13 Nov
22,551Peak Premier in tracked matches
46Days played since 2026-04-02

Premier CS Rating

  • 216 below peak (22,551)
  • +272 over 30 days · steady
  • Next: Red band at 25,000 — 2,665 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGFrygt Ikke Tro KunFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,335 · Pink bandcsdb.gg/stats

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Performance scores

Aim77
Positioning62
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLLWWLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +6.9pp headshot accuracy · −33ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 596ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 554ms

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).

Aim7.7
Utility6.7
Positioning6.2
Opening Duels1.9

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 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.7
Positioning6.2
Utility6.7
Mechanics6.8
Opening Duels3.3
Win Impact2.1

Composite 6.2/10 (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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time546ms−40ms
first ⅓ avg 586ms → last ⅓ avg 546ms
Headshot accuracy16.4%−0.2%
first ⅓ avg 16.6% → last ⅓ avg 16.4%

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

0.26Best match rating · 13–3 · anubis, 10 Apr →
43%Best headshot accuracy · 5–13 · inferno, 16 Oct →
375msFastest reaction time · 1–10 · anubis, 1 Jun →
13–2Biggest win · nuke, 9 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
14–6In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 61% over 28ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB3617–1947%0.02
nukeA2817–1161%0.00
anubisB157–847%0.02
ancientD102–820%0.02
mirage—40–40%-0.01
cache—30–30%-0.01
dust2—21–150%0.09
overpass—20–20%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

298Matches
52%Win rate
1.25Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1155%1.1417.6
Inferno4100%2.9218.5
Anubis333%0.9111.7
Dust210%0.274.0
Vertigo10%0.9415.0

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.

16.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
36.6%Spray accuracy
80.6%Counter-strafing
8.8°Preaim
539msReaction time
44.7%T opening success
41.8%CT opening success
0.65Enemies flashed / flash
10.7%Flash assists
11.77HE damage / grenade
8.17Flashes / match

Recommended for you

Spend your practice time on Ancient

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0333%13 Nov →
mirage5–13-0.0722%13 Nov →
anubis13–11-0.0316%9 Nov →
anubis13–90.1622%16 Oct →
inferno5–13-0.0343%16 Oct →
nuke5–130.0218%16 Oct →
nuke13–40.1123%16 Oct →
mirage6–130.0111%16 Oct →
mirage10–130.0313%16 Oct →
nuke13–110.0416%5 Oct →
dust213–30.1314%27 Sept →
mirage9–13-0.0123%27 Sept →
inferno13–90.0119%26 Sept →
nuke13–80.0713%20 Sept →
ancient6–13-0.0411%17 Sept →
nuke13–20.0425%9 Sept →
anubis1–13-0.038%2 Sept →
inferno5–13-0.0416%30 Aug →
nuke10–13-0.029%30 Aug →
inferno15–150.0011%29 Aug →
nuke1–13-0.0514%29 Aug →
anubis13–110.039%29 Aug →
anubis10–130.0519%27 Aug →
inferno13–100.0213%26 Aug →
inferno13–16-0.0115%23 Aug →
anubis4–13-0.0114%23 Aug →
inferno13–110.1012%21 Aug →
anubis3–13-0.0115%15 Aug →
ancient13–60.0315%8 Aug →
cache3–13-0.0711%8 Aug →
inferno13–8-0.0313%8 Aug →
nuke16–12-0.0215%6 Aug →
inferno13–90.0513%9 Jul →
dust25–130.0419%9 Jul →
nuke14–120.0313%5 Jul →
nuke11–13-0.0113%5 Jul →
inferno9–70.0316%23 Jun →
inferno16–140.0616%22 Jun →
inferno6–13-0.0030%20 Jun →
anubis16–13-0.0312%20 Jun →
ancient8–13-0.0118%20 Jun →
nuke2–13-0.0919%15 Jun →
anubis1–10-0.070%1 Jun →
inferno13–90.0722%30 May →
inferno15–150.0113%30 May →
inferno13–50.1224%30 May →
nuke13–60.0422%30 May →
inferno13–60.1118%30 May →
ancient13–70.1121%29 May →
anubis11–13-0.0533%29 May →
inferno2–13-0.069%29 May →
nuke13–8-0.046%29 May →
inferno11–13-0.0116%29 May →
inferno10–13-0.0238%19 May →
inferno9–00.1310%16 May →
nuke9–10.0915%16 May →
inferno2–9-0.0339%16 May →
nuke16–120.1117%15 May →
nuke15–150.0112%15 May →
ancient12–160.0011%15 May →
overpass15–150.0217%13 May →
nuke13–160.017%13 May →
ancient10–130.0314%13 May →
ancient8–130.078%12 May →
inferno11–13-0.0410%12 May →
anubis13–100.0024%5 May →
ancient3–130.0825%5 May →
nuke13–5-0.0133%5 May →
inferno8–130.0225%5 May →
inferno3–13-0.049%4 May →
inferno3–13-0.0313%1 May →
inferno16–14-0.0414%1 May →
inferno3–13-0.049%1 May →
cache7–130.0012%1 May →
nuke9–7-0.0417%1 May →
nuke5–9-0.0721%1 May →
inferno9–40.1716%1 May →
inferno5–9-0.1039%1 May →
cache6–130.0516%29 Apr →
inferno13–70.0312%28 Apr →
nuke16–130.0015%28 Apr →
inferno16–120.0415%28 Apr →
nuke7–9-0.029%28 Apr →
inferno4–9-0.0817%28 Apr →
ancient1–10-0.060%27 Apr →
inferno9–7-0.0311%23 Apr →
nuke2–9-0.159%23 Apr →
overpass15–150.0416%18 Apr →
nuke16–140.0315%14 Apr →
nuke10–13-0.0318%14 Apr →
anubis9–13-0.0316%14 Apr →
anubis16–140.0315%12 Apr →
inferno11–130.0323%10 Apr →
ancient6–13-0.0226%10 Apr →
inferno13–100.1729%10 Apr →
anubis13–30.2625%10 Apr →
nuke6–4-0.049%10 Apr →
anubis8–130.1017%8 Apr →
nuke13–10-0.0017%8 Apr →
nuke9–70.0412%2 Apr →

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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