Kollaki

Kollaki — CS2 Stats

FI76561199494000195[U:1:1533734467]Steam profile ↗✓ No bans

287Tracked matches62%Win rate2026Tracked since
289Hours in CS7Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating7,189Light Blue band · top ~68.3% of ranked players (population est.)
WingmanSilver IV
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: 7,189 +1,892 27 Aug – 4 Nov · 33 days played
4,6667,189peak 7,18927 Aug4 Nov
7,189Peak Premier in tracked matches
42Days played since 2026-08-26

Premier CS Rating

  • At peak — 7,189
  • +1,710 over 30 days · improving
  • Next: Blue band at 10,000 — 2,811 to go
  • Reached: Light Blue band

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 rate47.3%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.820.920.980.16 short
Match win rate43.2%42.3%43.8%meets

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

Widest gap: Shot accuracy. 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.GGKollakiPREMIER7,189 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning55
Utility43

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWWWWLWLWLW

Last 10 vs previous 10: +30pp win rate · −0.05 avg rating · −13.7pp headshot accuracy · +34ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 657ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 680ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 663ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim5.1
Utility4.3
Positioning5.5
Opening Duels3.0

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

m0NESY

Plays most like m0NESY 79% 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

Areas to improve

Reaction time. 638ms 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

Aim5.1
Positioning5.5
Utility4.3
Mechanics6.1
Opening Duels4.6
Win Impact9.0

Composite 5.0/10 (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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time652ms−5ms
first ⅓ avg 658ms → last ⅓ avg 652ms
Headshot accuracy24.5%+6.9%
first ⅓ avg 17.6% → last ⅓ avg 24.5%

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

0.16Best match rating · 9–6 · nuke, 23 Sept →
100%Best headshot accuracy · 4–2 · nuke, 18 Oct →
469msFastest reaction time · 13–3 · anubis, 6 Oct →
13–2Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
4–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 75% over 20infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%-0.02
nukeS2015–575%0.00
cacheB137–654%-0.01
dust2B115–645%-0.00
anubisC94–544%-0.03
infernoD62–433%-0.01
officeD62–433%-0.01
ancientB63–350%0.01
vertigo—32–167%0.04
debris—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,614Lifetime kills
0.82K/D
447Matches
43.2%Match win rate · Top 50% of Light Blue band
47.3%Headshot % · Top 25% of Light Blue band
0.0%Shot accuracy
1,041MVPs
138Hours (in match)
244Bombs planted
117Bombs defused

Most-used weapons

Lifetime map wins

1,097nuke
459dust2
204inferno
114vertigo
69office
50train
10ar_shoots

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

Skill profile

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

22.0%Headshot accuracy
30.0%Accuracy (enemy spotted)
28.5%Spray accuracy
77.2%Counter-strafing
11.0°Preaim
638msReaction time
49.0%T opening success
47.7%CT opening success
0.44Enemies flashed / flash
9.0%Flash assists
8.03HE damage / grenade
9.25Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4366 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–12-0.028%4 Nov →
mirage13–11-0.0717%4 Nov →
nuke9–60.0510%4 Nov →
inferno13–6-0.0514%4 Nov →
nuke9–13-0.1020%1 Nov →
dust213–8-0.0725%31 Oct →
office4–13-0.0736%28 Oct →
ancient13–100.0316%25 Oct →
mirage7–13-0.0325%24 Oct →
mirage13–20.0115%24 Oct →
dust23–130.1514%23 Oct →
mirage10–13-0.0119%21 Oct →
cache13–30.0026%21 Oct →
inferno8–8-0.0113%20 Oct →
nuke9–2-0.0140%20 Oct →
mirage13–3-0.0116%20 Oct →
vertigo9–13-0.0225%19 Oct →
nuke5–90.0348%18 Oct →
nuke4–20.01100%18 Oct →
mirage6–130.0222%18 Oct →
ancient6–13-0.0529%14 Oct →
mirage13–7-0.0226%12 Oct →
office13–50.1219%10 Oct →
nuke13–10-0.0424%10 Oct →
cache14–160.0022%8 Oct →
nuke13–70.1226%8 Oct →
anubis13–3-0.0023%6 Oct →
mirage12–12-0.0714%30 Sept →
dust213–8-0.0317%30 Sept →
dust213–100.0223%30 Sept →
anubis10–130.0533%29 Sept →
dust213–2-0.0118%29 Sept →
dust212–160.0126%28 Sept →
cache13–90.0820%28 Sept →
nuke13–9-0.0122%28 Sept →
debris9–40.1122%28 Sept →
inferno0–40.0129%27 Sept →
ancient13–100.1015%26 Sept →
cache11–130.0127%25 Sept →
mirage13–70.0627%25 Sept →
mirage10–13-0.0315%24 Sept →
dust211–13-0.0418%24 Sept →
ancient1–13-0.056%24 Sept →
nuke9–60.1621%23 Sept →
nuke5–9-0.0333%23 Sept →
vertigo13–5-0.028%23 Sept →
cache13–90.0222%23 Sept →
office4–13-0.1350%16 Sept →
nuke13–40.0014%16 Sept →
mirage2–80.0515%16 Sept →
anubis8–13-0.0113%16 Sept →
inferno11–13-0.027%15 Sept →
inferno9–50.0519%15 Sept →
nuke9–50.1113%15 Sept →
cache13–16-0.0528%13 Sept →
ancient11–13-0.0327%12 Sept →
nuke13–6-0.0119%11 Sept →
mirage11–13-0.0020%11 Sept →
office13–8-0.0420%11 Sept →
cache13–50.0112%11 Sept →
cache13–20.1014%9 Sept →
vertigo9–30.1525%9 Sept →
mirage10–13-0.0114%9 Sept →
nuke13–9-0.0813%8 Sept →
nuke13–4-0.0617%8 Sept →
mirage2–13-0.0538%8 Sept →
anubis13–6-0.0417%7 Sept →
mirage13–110.0112%7 Sept →
mirage9–13-0.0816%6 Sept →
anubis8–13-0.0821%6 Sept →
anubis15–15-0.0529%6 Sept →
anubis5–13-0.0420%5 Sept →
mirage13–4-0.068%5 Sept →
dust213–90.0128%5 Sept →
cache5–13-0.0924%5 Sept →
mirage11–13-0.0427%4 Sept →
office11–130.0712%2 Sept →
dust211–13-0.0910%2 Sept →
mirage13–11-0.0226%1 Sept →
anubis13–3-0.076%30 Aug →
nuke13–8-0.0815%30 Aug →
anubis13–40.0323%30 Aug →
ancient13–30.0414%30 Aug →
mirage13–10-0.0118%30 Aug →
cache4–13-0.0620%29 Aug →
mirage8–13-0.1024%29 Aug →
mirage10–13-0.0414%29 Aug →
mirage10–13-0.0220%29 Aug →
cache13–10-0.0717%28 Aug →
mirage13–80.0014%28 Aug →
dust27–13-0.0012%27 Aug →
inferno11–13-0.0216%27 Aug →
dust21–13-0.0115%27 Aug →
nuke7–13-0.047%27 Aug →
cache11–130.0219%27 Aug →
mirage6–130.0715%27 Aug →
nuke13–100.0321%26 Aug →
office7–13-0.0014%26 Aug →
nuke7–130.0217%26 Aug →
cache13–9-0.0524%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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