TrygdeBeistet — CS2 Stats

76561198286470961[U:1:326205233]

3,129Tracked matches50%Win rate2023Tracked since
2,007Hours in CS
CSDB Rating6.9 SolidAggressive Rifler
Premier CS Rating17,103Purple band · top ~20% of ranked players (population est.)
CSDB Leaderboard#14935 of 26877 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate51.3%44.1%47.2%above
Shot accuracy4.2%11.4%12.7%8.5% short
Kill/death ratio1.021.031.090.07 short
Match win rate46.5%45.2%46.6%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGTrygdeBeistetPREMIER17,103 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning61
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateWWWLWLWLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression7.7
Utility6.3
Positioning6.1
Opening Duels4.4
Clutch4.2

Sharp aimerStrong CT-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.

Your pro match

iM

Plays most like iM 95% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.5
Positioning6.1
Utility6.3
Mechanics8.1
Opening Duels4.4
Win Impact5.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time557ms−41ms
first ⅓ avg 598ms → last ⅓ avg 557ms
Headshot accuracy24.1%+3.7%
first ⅓ avg 20.4% → last ⅓ avg 24.1%

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.

Highlights

0.13Best rating — office 13–9
133Biggest win — ancient
7Longest win streak
W3Current streak
65In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 100% over 9infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
officeB32171553%0.02
ancientB157847%-0.02
nukeC146843%-0.03
infernoD113827%-0.02
cacheS990100%0.04
dust242250%-0.03
anubis32167%-0.00
train31233%0.01
mirage3030%-0.05
fachwerk220100%0.02
vertigo110100%0.10
shelter1010%0.09
boulder110100%0.06
debris110100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,750Lifetime kills
1.02K/D
5,448Matches
46.5%Match win rate · Top 50% of Purple band
51.3%Headshot % · Top 25% of Purple band
4.2%Shot accuracy
12,382MVPs
2,007Hours (in match)
2,062Bombs planted
655Bombs defused

Most-used weapons

AK-4735,004
AWP4,656
MP92,476
MAC-102,371
XM10141,690

Lifetime map wins

13,769office
6,093inferno
5,248nuke
2,447dust2
1,685vertigo
1,366train
266italy
137cbble

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

Faceit stats

Combat

277Matches
49%Win rate
0.94Avg K/D
77.1ADR
54%Headshot %

Clutches & streaks

41%1v1 clutch win
27%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient8455%0.9815.7
Nuke6546%0.9915.1
Overpass3650%0.9813.8
Train3040%0.8414.4
Anubis2458%0.8913.6
Inferno1540%0.8815.2
Dust21080%1.2014.5
Mirage714%0.5912.0

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.

24.2%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.5%Spray accuracy
86.6%Counter-strafing
9.1°Preaim
557msReaction time
36.6%T opening success
58.7%CT opening success
0.61Enemies flashed / flash
8.2%Flash assists
10.93HE damage / grenade
10.15Flashes / 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 36.5701% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–80.0234%27 Aug
cache13–80.0017%27 Aug
ancient13–90.0816%27 Aug
nuke11–130.0221%27 Aug
cache13–110.1223%26 Aug
ancient3–13-0.1026%26 Aug
anubis13–60.0217%26 Aug
dust21–13-0.1012%26 Aug
inferno13–4-0.0122%25 Aug
nuke8–130.0329%25 Aug
ancient11–13-0.0148%25 Aug
inferno5–13-0.0744%24 Aug
ancient12–16-0.0217%24 Aug
cache13–110.0629%23 Aug
nuke8–13-0.0331%23 Aug
ancient10–130.0620%21 Aug
ancient9–130.0212%20 Aug
office13–40.0617%20 Aug
ancient13–9-0.0521%18 Aug
cache13–90.0129%18 Aug
dust22–13-0.0116%18 Aug
train13–80.0747%18 Aug
office9–13-0.0317%18 Aug
nuke13–80.0817%18 Aug
ancient8–130.0315%18 Aug
inferno4–9-0.0533%18 Aug
inferno15–150.0110%17 Aug
fachwerk13–10-0.0334%16 Aug
office7–13-0.0024%16 Aug
office12–120.0226%16 Aug
office13–90.0235%16 Aug
nuke13–9-0.0512%15 Aug
cache11–7-0.0123%15 Aug
cache13–10-0.0413%14 Aug
ancient13–9-0.0417%14 Aug
mirage2–13-0.0323%14 Aug
office2–13-0.0921%13 Aug
vertigo13–90.1033%13 Aug
inferno10–13-0.0131%13 Aug
shelter9–130.0924%13 Aug
office13–100.1322%13 Aug
train8–13-0.0339%12 Aug
office7–13-0.0232%12 Aug
office13–70.0918%12 Aug
ancient16–130.0016%11 Aug
office13–110.0132%11 Aug
train5–13-0.0113%10 Aug
inferno4–13-0.128%10 Aug
office13–90.1137%10 Aug
mirage9–13-0.0615%8 Aug
office13–8-0.0036%8 Aug
fachwerk13–110.0724%7 Aug
office13–60.0828%7 Aug
ancient6–13-0.0523%6 Aug
inferno13–80.1014%6 Aug
boulder13–70.0618%6 Aug
office8–13-0.0032%6 Aug
inferno9–130.0313%5 Aug
nuke6–130.0131%5 Aug
nuke13–7-0.0235%5 Aug
office13–10-0.0425%5 Aug
office8–13-0.048%5 Aug
office1–13-0.0519%4 Aug
inferno9–13-0.0220%3 Aug
anubis1–13-0.0811%3 Aug
inferno9–60.1227%3 Aug
office7–130.1115%3 Aug
office13–90.1321%1 Aug
nuke13–80.0121%31 Jul
inferno0–9-0.2414%30 Jul
nuke1–13-0.1210%30 Jul
office4–13-0.0333%30 Jul
office13–80.0113%30 Jul
anubis13–60.0517%27 Jul
debris9–70.1115%27 Jul
nuke0–9-0.277%27 Jul
office13–100.0112%27 Jul
office11–13-0.0643%27 Jul
cache13–90.0912%26 Jul
nuke15–15-0.0217%26 Jul
ancient13–3-0.0318%26 Jul
office7–13-0.094%26 Jul
ancient13–10-0.0733%25 Jul
ancient5–13-0.0740%25 Jul
mirage2–13-0.0744%25 Jul
office6–0-0.050%25 Jul
office11–130.0422%25 Jul
office7–130.0627%24 Jul
office13–100.0314%24 Jul
ancient13–6-0.0121%23 Jul
dust213–90.0124%23 Jul
dust213–5-0.0012%23 Jul
cache13–40.0430%23 Jul
office13–7-0.0436%23 Jul
nuke13–110.0030%23 Jul
nuke0–3-0.060%23 Jul
office13–100.1214%23 Jul
cache13–60.1130%22 Jul
office13–40.1320%22 Jul
office11–130.0019%21 Jul

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 →