kjaerg0d

kjaerg0d — CS2 Stats

76561198963011843[U:1:1002746115]Steam profile ↗✓ No bans

1,426Tracked matches50%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,426
0.0ppWin rate · 50.0% → 50.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 2 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

26Days played since 2026-08-02

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim79
Positioning53
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateLWLLLWWWWL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +3.4pp headshot accuracy · +39ms reaction

Win rate +10pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 34%
  • Avg reaction 584ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 574ms

Last 20

  • 911 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 555ms

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 (+1.1 against its own average).

Aim7.9
Utility5.4
Positioning5.3
Opening Duels2.2

Strong 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.

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim7.9
Positioning5.3
Utility5.4
Mechanics5.2
Opening Duels2.3
Win Impact5.0

Composite 5.8/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time543ms+5ms
first ⅓ avg 538ms → last ⅓ avg 543ms
Headshot accuracy30.0%−0.0%
first ⅓ avg 30.1% → last ⅓ avg 30.0%

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

0.19Best match rating · 13–0 · train, 8 Aug
57%Best headshot accuracy · 10–13 · office, 30 Aug
367msFastest reaction time · 13–9 · inferno, 18 Aug
13–0Biggest win · train, 8 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
410In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 69% over 13nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
vertigoB158753%0.03
infernoA148657%0.03
anubisB136746%0.01
trainS139469%0.03
cacheC135838%0.00
nukeD92722%0.03
overpassC83538%0.02
ancientS64267%0.03
mirageC52340%-0.01
cbble_d1010%0.03
office1010%-0.00
dust21010%0.03
italy110100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

31.1%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.0%Spray accuracy
73.3%Counter-strafing
9.5°Preaim
561msReaction time
30.1%T opening success
48.1%CT opening success
0.61Enemies flashed / flash
6.6%Flash assists
8.66HE damage / grenade
8.00Flashes / 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 30.1133% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cbble_d3–130.0329%19 Sept
ancient13–110.0134%18 Sept
anubis10–13-0.0543%18 Sept
mirage5–13-0.0640%18 Sept
train7–13-0.0422%10 Sept
cache13–11-0.0322%10 Sept
anubis13–8-0.0120%10 Sept
mirage13–40.0924%8 Sept
vertigo13–30.0538%8 Sept
ancient9–130.0026%7 Sept
inferno13–90.1125%7 Sept
vertigo8–130.0233%7 Sept
nuke11–130.0237%7 Sept
inferno8–13-0.0210%5 Sept
cache11–13-0.0330%5 Sept
ancient13–9-0.0219%4 Sept
vertigo13–60.0634%4 Sept
vertigo13–80.1424%4 Sept
inferno10–13-0.0521%3 Sept
anubis11–130.0130%3 Sept
train13–90.0233%3 Sept
cache13–80.0932%3 Sept
cache11–13-0.0544%31 Aug
anubis13–80.0726%31 Aug
train7–130.0124%31 Aug
nuke13–90.0243%31 Aug
vertigo13–60.0238%31 Aug
anubis2–60.000%31 Aug
inferno13–80.0244%31 Aug
office10–13-0.0057%30 Aug
cache13–160.0240%29 Aug
inferno13–10-0.0127%29 Aug
overpass13–16-0.0025%29 Aug
nuke10–13-0.0225%29 Aug
anubis13–90.0538%29 Aug
vertigo3–13-0.0433%29 Aug
cache13–110.0853%29 Aug
anubis13–70.0436%28 Aug
anubis13–10-0.0128%23 Aug
inferno13–100.1749%23 Aug
vertigo13–20.1527%23 Aug
dust210–130.0335%23 Aug
mirage10–130.0530%23 Aug
inferno14–160.0320%21 Aug
anubis8–13-0.0330%21 Aug
overpass9–130.0137%21 Aug
cache14–160.0334%21 Aug
train13–60.0333%19 Aug
vertigo9–130.0130%19 Aug
inferno13–90.0437%18 Aug
vertigo8–13-0.0326%18 Aug
train13–70.0632%15 Aug
overpass13–70.1025%14 Aug
train13–60.0645%14 Aug
cache13–7-0.0119%14 Aug
overpass17–19-0.0333%11 Aug
anubis8–130.0417%10 Aug
vertigo13–8-0.0141%10 Aug
inferno13–90.0419%10 Aug
nuke5–130.0233%9 Aug
overpass16–190.0218%9 Aug
train13–90.0134%8 Aug
anubis13–60.0436%8 Aug
nuke8–130.0235%8 Aug
train13–10-0.0235%8 Aug
nuke13–40.1041%8 Aug
inferno9–130.0528%8 Aug
ancient13–50.0052%8 Aug
anubis9–130.0033%8 Aug
inferno14–16-0.0027%8 Aug
ancient7–130.0633%8 Aug
vertigo13–160.0740%8 Aug
train13–00.1933%8 Aug
train13–50.0634%7 Aug
overpass13–80.0828%7 Aug
vertigo5–13-0.0228%7 Aug
cache10–13-0.0328%7 Aug
inferno13–110.0520%7 Aug
inferno14–16-0.0339%5 Aug
nuke9–130.0737%5 Aug
mirage5–13-0.0827%5 Aug
cache10–130.0134%5 Aug
ancient13–60.1618%5 Aug
vertigo13–70.0429%5 Aug
cache13–90.0350%5 Aug
mirage13–9-0.0216%5 Aug
inferno13–50.0430%5 Aug
overpass13–10-0.0117%5 Aug
nuke7–130.0537%3 Aug
overpass11–13-0.0120%3 Aug
train13–60.0923%3 Aug
nuke13–160.0132%3 Aug
cache1–13-0.0536%3 Aug
train12–160.0029%3 Aug
anubis10–130.0236%3 Aug
cache6–13-0.0615%3 Aug
vertigo7–130.0219%2 Aug
vertigo13–70.0238%2 Aug
italy13–100.0125%2 Aug
train0–13-0.0629%2 Aug

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 →