kyykka

kyykka — CS2 Stats

FI76561198175102090[U:1:214836362]Steam profile ↗✓ No bans

3,428Tracked matches62%Win rate2020Tracked since
7,515Hours in CS
CSDB Rating5.1 DevelopingAll-Rounder
Premier CS Rating9,361Light Blue band · top ~58% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 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: 9,361 -6,049 30 Aug – 4 Nov · 24 days played
6,98915,410peak 15,41030 Aug4 Nov
15,410Peak Premier in tracked matches
22Days played since 2026-08-30

Premier CS Rating

  • 6,049 below peak (15,410)
  • -3,896 over 30 days · declining
  • Next: Blue band at 10,000 — 639 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate28.6%39.9%42.0%13.3% short
Shot accuracy14.2%7.0%9.6%above
Kill/death ratio0.890.920.980.09 short
Match win rate45.8%42.3%43.8%above

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

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

Share this profile

CSDB.GGkyykkaPREMIER9,361 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim39
Positioning64
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLWWLWWWWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · −46ms 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 8%
  • Avg reaction 577ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 613ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 636ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim3.9
Utility6.1
Positioning6.4
Opening Duels4.8
Clutch6.0

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 61% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower 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

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 75% on T to 53% on CT — first contacts on the defending side are being lost.

Reaction time. 640ms 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

Aim3.9
Positioning6.4
Utility6.1
Mechanics4.5
Opening Duels7.8
Win Impact9.0

Composite 5.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time637ms−6ms
first ⅓ avg 644ms → last ⅓ avg 637ms
Headshot accuracy9.9%−0.8%
first ⅓ avg 10.7% → last ⅓ avg 9.9%

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

0.11Best match rating · 13–11 · nuke, 25 Oct →
22%Best headshot accuracy · 13–16 · inferno, 23 Oct →
406msFastest reaction time · 3–9 · inferno, 22 Oct →
13–2Biggest win · dust2, 29 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
13–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%-0.02
nukeA2415–963%-0.02
dust2C208–1240%-0.00
ancientS96–367%-0.00
anubisA85–363%-0.02
cacheA85–363%-0.02
mirageB63–350%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

283,980Lifetime kills
0.89K/D
16,158Matches
45.8%Match win rate · Top 25% of Light Blue band
28.6%Headshot %
14.2%Shot accuracy · Top 25% of Light Blue band
31,541MVPs
7,515Hours (in match)
14,434Bombs planted
4,625Bombs defused

Most-used weapons

AK-4784,958
AWP34,787
MAC-109,717
FAMAS7,629
MP97,494

Lifetime map wins

47,298dust2
39,580inferno
8,433nuke
4,843train
2,892vertigo
2,202cbble
252bank
170lake

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

Faceit stats

Combat

81Matches
44%Win rate
0.93Avg K/D
67.3ADR
26%Headshot %

Clutches & streaks

50%1v1 clutch win
44%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke333%0.9013.0
Anubis367%0.6410.0
Mirage250%1.0019.0
Dust220%0.8411.5
Train10%0.6710.0
Overpass10%1.0027.0

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.

9.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
35.6%Spray accuracy
70.1%Counter-strafing
12.0°Preaim
640msReaction time
75.1%T opening success
52.6%CT opening success
0.57Enemies flashed / flash
3.9%Flash assists
8.78HE damage / grenade
6.54Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.821% — below the 15% mark we flag

    Aim Training →
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.

40% 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
ancient2–130.0214%4 Nov →
inferno9–130.015%4 Nov →
nuke13–110.046%4 Nov →
anubis13–8-0.0410%3 Nov →
dust210–13-0.078%3 Nov →
inferno13–90.0811%2 Nov →
mirage13–6-0.0114%2 Nov →
dust213–110.008%2 Nov →
nuke13–80.0315%2 Nov →
mirage5–13-0.0316%2 Nov →
cache13–6-0.015%2 Nov →
nuke14–16-0.066%1 Nov →
cache13–8-0.0510%31 Oct →
inferno13–50.008%31 Oct →
nuke13–11-0.0014%31 Oct →
anubis15–15-0.0114%31 Oct →
inferno1–13-0.149%31 Oct →
nuke13–50.058%31 Oct →
cache13–11-0.049%31 Oct →
dust29–13-0.0212%31 Oct →
ancient6–13-0.086%31 Oct →
nuke13–110.0216%31 Oct →
inferno13–70.0110%31 Oct →
anubis13–5-0.012%31 Oct →
inferno12–16-0.0110%31 Oct →
dust213–20.0120%29 Oct →
anubis10–13-0.073%29 Oct →
nuke9–13-0.089%29 Oct →
anubis16–14-0.028%29 Oct →
nuke13–80.1113%29 Oct →
nuke16–12-0.044%29 Oct →
inferno6–13-0.1417%29 Oct →
inferno13–60.069%28 Oct →
nuke9–13-0.053%28 Oct →
dust213–60.047%28 Oct →
dust211–13-0.0313%27 Oct →
anubis13–60.039%27 Oct →
nuke0–13-0.1314%27 Oct →
inferno13–7-0.038%27 Oct →
mirage9–13-0.037%27 Oct →
inferno10–13-0.032%26 Oct →
ancient3–13-0.094%26 Oct →
inferno16–14-0.0012%26 Oct →
nuke13–8-0.002%26 Oct →
nuke13–11-0.035%25 Oct →
nuke13–110.1116%25 Oct →
inferno12–16-0.038%25 Oct →
inferno13–10-0.0111%25 Oct →
dust28–13-0.025%25 Oct →
inferno13–7-0.0113%25 Oct →
nuke13–9-0.058%25 Oct →
dust213–80.0514%24 Oct →
dust213–10-0.0013%24 Oct →
nuke13–70.013%24 Oct →
inferno13–90.0110%24 Oct →
anubis13–60.069%24 Oct →
inferno3–13-0.0014%24 Oct →
mirage13–90.013%23 Oct →
nuke13–10-0.0710%23 Oct →
dust213–16-0.079%23 Oct →
nuke13–40.012%23 Oct →
inferno13–5-0.0115%23 Oct →
mirage13–20.064%23 Oct →
inferno13–16-0.0422%23 Oct →
ancient13–110.036%23 Oct →
anubis4–13-0.083%23 Oct →
inferno3–9-0.117%22 Oct →
dust25–130.029%22 Oct →
ancient13–90.089%22 Oct →
dust213–6-0.0211%22 Oct →
inferno3–9-0.135%22 Oct →
inferno9–130.0417%22 Oct →
dust29–13-0.0211%21 Oct →
cache2–13-0.047%21 Oct →
nuke3–13-0.067%21 Oct →
ancient13–40.0412%21 Oct →
ancient13–7-0.038%21 Oct →
cache11–13-0.105%21 Oct →
cache13–80.0413%20 Oct →
dust211–13-0.008%20 Oct →
nuke11–130.019%20 Oct →
inferno6–13-0.045%19 Oct →
dust29–130.0215%19 Oct →
dust213–110.0713%19 Oct →
dust211–130.0112%19 Oct →
nuke10–13-0.064%17 Oct →
mirage11–13-0.0513%14 Oct →
nuke13–6-0.0412%14 Oct →
inferno16–120.036%14 Oct →
cache10–13-0.0213%13 Oct →
ancient16–140.049%12 Oct →
dust29–13-0.047%12 Oct →
cache13–30.0620%12 Oct →
inferno7–13-0.0419%12 Oct →
nuke9–13-0.0113%12 Oct →
dust213–20.019%12 Oct →
dust215–15-0.005%11 Oct →
ancient13–11-0.0611%11 Oct →
inferno13–100.0216%10 Oct →
nuke10–13-0.0919%10 Oct →

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.