Kajdy

Kajdy — CS2 Stats

SK76561198931697435[U:1:971431707]Steam profile ↗✓ No bans

1,548Tracked matches48%Win rate2021Tracked since
1,911Hours in CS3Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
CSDB Leaderboard#72892 of 259662 tracked
FaceitLevel 9 · 1,861 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,751 -761 29 May – 18 Jan · 13 days played
20,57822,548peak 22,54829 May18 Jan
22,730Peak Premier in tracked matches
1,861Highest Faceit ELO seen on CSDB
47Days played since 2025-02-07

Faceit ELO

  • At peak — 1,861
  • Next: Level 10 at 2,001 — 140 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate52.2%48.2%50.9%above
Shot accuracy17.1%13.2%13.7%above
Kill/death ratio0.931.071.090.16 short
Match win rate46.2%46.9%48.4%2.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKajdyFACEITLevel 9 · 1,861 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,861csdb.gg/stats

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Performance scores

Aim67
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWLLTLWWLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.9pp headshot accuracy · −63ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 717ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 629ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 660ms

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 (+1.2 against its own average).

Aim6.7
Utility4.9
Positioning4.3
Opening Duels1.6
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

NiKo

Plays most like NiKo 93% 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. 639ms 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

Aim6.7
Positioning4.3
Utility4.9
Mechanics6.4
Opening Duels1.0
Win Impact4.4

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time648ms−14ms
first ⅓ avg 662ms → last ⅓ avg 648ms
Headshot accuracy27.7%+3.6%
first ⅓ avg 24.1% → last ⅓ avg 27.7%

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

0.14Best match rating · 13–2 · mirage, 29 May →
55%Best headshot accuracy · 6–13 · dust2, 18 Jan →
461msFastest reaction time · 6–13 · ancient, 16 Jul →
13–2Biggest win · train, 31 Dec →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 58% over 12dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.01
dust2C207–1335%-0.03
ancientC146–843%-0.03
nukeB137–654%-0.02
infernoA127–558%-0.01
overpassA74–357%0.01
anubis—41–325%-0.04
train—31–233%0.00
cache—21–150%0.01
vertigo—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,588Lifetime kills
0.93K/D
2,421Matches
46.2%Match win rate
52.2%Headshot % · Top 50% of Level 9 players
17.1%Shot accuracy · Top 25% of Level 9 players
6,157MVPs
1,071Hours (in match)
2,567Bombs planted
562Bombs defused

Most-used weapons

AK-4716,263
AWP2,996
FAMAS1,858
AUG1,629
Knife1,044

Lifetime map wins

6,484inferno
3,965dust2
2,932nuke
1,396vertigo
637train
77cbble
25office
2italy

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

Faceit stats

Combat

1,408Matches
51%Win rate
0.98Avg K/D
76.8ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12358%0.9715.8
Inferno9751%0.8814.8
Ancient8151%0.9815.3
Anubis7151%0.9617.5
Nuke6351%0.9213.9
Dust24141%0.9615.9
Vertigo2138%0.8815.7
Train933%0.9014.3

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.

27.9%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.4%Spray accuracy
78.8%Counter-strafing
10.8°Preaim
639msReaction time
37.7%T opening success
28.0%CT opening success
0.54Enemies flashed / flash
4.4%Flash assists
9.76HE damage / grenade
5.53Flashes / 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 37.6941% — 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.0223%23 Oct →
mirage6–20.0315%23 Oct →
dust26–13-0.095%23 Oct →
cache4–13-0.076%23 Oct →
ancient15–15-0.0128%23 Oct →
ancient0–13-0.1240%16 Oct →
inferno13–6-0.0841%18 Jul →
ancient13–50.0525%18 Jul →
mirage8–13-0.0227%18 Jul →
ancient6–13-0.0031%16 Jul →
nuke13–10-0.0117%16 Jul →
cache13–30.0822%16 Jul →
nuke0–13-0.040%16 Jul →
dust216–12-0.0430%8 Mar →
ancient11–13-0.0832%6 Feb →
mirage11–13-0.0426%6 Feb →
nuke13–110.0022%5 Feb →
overpass13–8-0.0122%18 Jan →
ancient3–13-0.0620%18 Jan →
mirage4–13-0.0842%18 Jan →
dust213–7-0.0128%18 Jan →
dust26–13-0.0855%18 Jan →
dust211–13-0.0546%18 Jan →
mirage13–90.0132%18 Jan →
ancient13–6-0.1125%18 Jan →
ancient3–130.0253%18 Jan →
nuke7–13-0.0725%17 Jan →
nuke9–13-0.0426%17 Jan →
nuke13–40.0125%16 Jan →
ancient13–4-0.0535%16 Jan →
mirage13–9-0.0136%16 Jan →
mirage11–130.0140%16 Jan →
dust21–7-0.0515%6 Jan →
train13–2-0.0118%31 Dec →
mirage3–13-0.0525%28 Dec →
dust24–13-0.0537%28 Dec →
vertigo10–13-0.0133%18 Dec →
anubis7–13-0.0642%12 Dec →
overpass13–60.0133%7 Dec →
dust213–2-0.077%7 Dec →
mirage7–13-0.0326%7 Dec →
mirage13–6-0.0729%6 Dec →
vertigo13–11-0.0035%5 Dec →
mirage13–16-0.0611%29 Nov →
overpass13–70.0510%21 Nov →
overpass9–130.0538%21 Nov →
dust22–13-0.1121%15 Nov →
mirage10–13-0.0426%15 Nov →
mirage13–90.0322%14 Nov →
dust29–130.0019%1 Nov →
mirage13–90.0124%31 Oct →
inferno11–13-0.0722%29 Oct →
overpass9–13-0.0128%29 Oct →
dust213–7-0.0335%18 Oct →
dust213–7-0.0430%26 Sept →
train9–130.0427%26 Sept →
inferno13–50.0215%26 Sept →
inferno13–110.0227%25 Jul →
overpass13–8-0.0128%17 Jul →
mirage13–90.0334%17 Jul →
overpass9–13-0.0117%17 Jul →
dust212–120.0716%12 Jul →
inferno2–13-0.0132%5 Jul →
ancient13–10-0.0236%28 Jun →
inferno4–13-0.0133%22 Jun →
mirage9–13-0.0628%22 Jun →
anubis13–16-0.0129%21 Jun →
dust211–13-0.0020%21 Jun →
inferno4–13-0.0128%21 Jun →
mirage5–130.0126%21 Jun →
dust213–110.0430%21 Jun →
anubis22–19-0.0713%13 Jun →
inferno13–100.0139%13 Jun →
mirage13–90.0028%7 Jun →
nuke8–130.0023%7 Jun →
nuke13–60.0528%6 Jun →
dust210–130.0429%31 May →
nuke7–13-0.0221%30 May →
inferno13–50.1337%30 May →
dust25–13-0.0420%30 May →
dust212–120.0621%30 May →
mirage13–7-0.0637%29 May →
dust213–40.0114%29 May →
anubis9–13-0.0219%29 May →
mirage13–9-0.0320%29 May →
mirage13–20.1428%29 May →
dust214–16-0.0728%28 May →
inferno5–13-0.0513%28 May →
nuke13–10-0.0313%2 May →
inferno13–9-0.0226%2 May →
ancient13–70.0529%4 Apr →
ancient11–13-0.0121%14 Mar →
nuke7–13-0.1130%8 Mar →
ancient4–13-0.0421%8 Feb →
mirage13–60.0634%8 Feb →
train3–13-0.0312%8 Feb →
mirage19–17-0.0414%7 Feb →
inferno13–5-0.0122%7 Feb →
nuke13–40.0132%7 Feb →
ancient13–6-0.0219%7 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.