Koolkatz™

Koolkatz™ — CS2 Stats

FI76561198251489724[U:1:291223996]Steam profile ↗✓ No bans

1,132Tracked matches37%Win rate2021Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating10,121Blue band · top ~54.3% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (25 days ago). 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: 10,121 +646 3 Apr – 11 Oct · 19 days played
8,51311,227peak 11,2273 Apr11 Oct
11,336Peak Premier in tracked matches
649Highest Faceit ELO seen on CSDB
35Days played since 2026-02-27

Faceit ELO

  • At peak — 649
  • Next: Level 3 at 751 — 102 to go
  • Reached: Level 2

Premier CS Rating

  • 1,106 below peak (11,227)
  • -478 over 30 days · declining
  • Next: Purple band at 15,000 — 4,879 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGKoolkatz™PREMIER10,121 · Blue bandPEAK ELO649csdb.gg/stats

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Performance scores

Aim61
Positioning57
Utility46

0–100 skill scores via Leetify.

Recent form

COLD40–57–3Last 10040%Win rateLLLLLLWWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.0pp headshot accuracy · −71ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 578ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 553ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 589ms

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 (+2 against its own average).

Aim6.1
Utility4.6
Positioning5.7
Opening Duels4.0
Clutch0.4

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 87% 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. 592ms 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

Aim6.1
Positioning5.7
Utility4.6
Mechanics5.8
Opening Duels4.6
Win Impact0.6

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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time586ms−96ms
first ⅓ avg 682ms → last ⅓ avg 586ms
Headshot accuracy10.9%−1.4%
first ⅓ avg 12.3% → last ⅓ avg 10.9%

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

0.13Best match rating · 13–10 · dust2, 17 Apr →
25%Best headshot accuracy · 13–6 · mirage, 26 Jun →
375msFastest reaction time · 7–13 · anubis, 8 Oct →
13–2Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
7–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 56% over 9anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%-0.01
infernoC219–1243%-0.01
ancientB209–1145%-0.03
cacheA95–456%-0.02
mirageC83–538%-0.01
nukeD61–517%-0.04
anubisD50–50%-0.00
overpassD51–420%-0.04
boulder—10–10%-0.05
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

325Matches
47%Win rate
0.79Avg K/D
56.2ADR
32%Headshot %

Clutches & streaks

22%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno3951%0.7711.8
Ancient2438%0.6511.5
Dust21331%0.618.6
Anubis1155%0.7311.4
Nuke922%0.6311.3
Mirage771%0.7711.6
Cache580%0.6410.8
Overpass4100%0.6811.8

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.

10.5%Headshot accuracy
36.5%Accuracy (enemy spotted)
40.2%Spray accuracy
76.1%Counter-strafing
10.0°Preaim
592msReaction time
45.7%T opening success
51.1%CT opening success
0.53Enemies flashed / flash
2.2%Flash assists
7.28HE damage / grenade
6.58Flashes / 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 10.5155% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.088%11 Oct →
anubis7–130.0511%11 Oct →
inferno10–130.089%11 Oct →
anubis7–13-0.0419%8 Oct →
dust210–13-0.022%8 Oct →
nuke9–13-0.0811%3 Oct →
ancient13–30.0124%3 Oct →
ancient13–7-0.0316%3 Oct →
nuke7–13-0.0319%2 Oct →
inferno13–100.0414%2 Oct →
ancient7–13-0.0313%29 Sept →
cache8–13-0.012%29 Sept →
cache11–13-0.0016%18 Sept →
dust213–11-0.0111%13 Sept →
ancient6–13-0.080%13 Sept →
cache13–9-0.0110%13 Sept →
mirage3–13-0.0613%11 Sept →
nuke3–13-0.069%11 Sept →
anubis5–13-0.0124%11 Sept →
ancient7–13-0.0317%11 Sept →
cache13–8-0.019%11 Sept →
inferno13–7-0.056%11 Sept →
cache19–17-0.065%30 Aug →
inferno13–8-0.046%30 Aug →
ancient1–13-0.076%22 Aug →
ancient16–12-0.086%22 Aug →
inferno13–60.0315%22 Aug →
nuke10–13-0.0413%22 Aug →
dust24–130.012%22 Aug →
inferno8–13-0.057%22 Aug →
inferno13–8-0.0615%22 Aug →
dust213–60.0113%22 Aug →
cache10–13-0.077%22 Aug →
ancient13–110.019%22 Aug →
boulder10–13-0.0514%22 Aug →
dust213–8-0.0123%22 Aug →
inferno8–13-0.0416%21 Aug →
inferno3–13-0.0212%21 Aug →
dust212–12-0.046%21 Aug →
ancient7–13-0.0419%21 Aug →
inferno13–6-0.0223%21 Aug →
dust213–20.0615%21 Aug →
overpass4–13-0.0410%27 Jun →
inferno13–10-0.0710%27 Jun →
dust28–0-0.0114%27 Jun →
dust26–130.0122%27 Jun →
ancient13–4-0.0312%27 Jun →
dust29–13-0.029%26 Jun →
mirage13–60.0625%26 Jun →
ancient10–130.0219%12 Jun →
dust28–13-0.0720%12 Jun →
overpass11–13-0.0615%20 May →
dust27–13-0.088%20 May →
ancient8–13-0.0313%8 May →
dust24–13-0.0517%8 May →
overpass2–13-0.0611%8 May →
inferno8–13-0.0517%2 May →
cache4–13-0.0419%2 May →
cache13–80.017%2 May →
cache13–7-0.0016%2 May →
dust213–80.006%26 Apr →
ancient13–10-0.0516%26 Apr →
dust213–4-0.0714%22 Apr →
vertigo11–13-0.045%22 Apr →
mirage4–13-0.046%19 Apr →
anubis5–130.0117%17 Apr →
dust213–100.1313%17 Apr →
inferno8–130.0513%17 Apr →
mirage10–13-0.0215%17 Apr →
ancient13–10-0.0412%16 Apr →
mirage5–130.009%15 Apr →
dust216–14-0.039%15 Apr →
ancient5–13-0.0613%15 Apr →
mirage13–70.0222%11 Apr →
dust213–9-0.0510%11 Apr →
inferno5–13-0.0323%11 Apr →
overpass13–110.0119%10 Apr →
anubis10–13-0.0111%5 Apr →
dust213–100.059%5 Apr →
dust29–130.028%3 Apr →
inferno13–90.0612%3 Apr →
ancient13–110.0010%3 Apr →
mirage4–13-0.055%3 Apr →
mirage13–110.0110%2 Apr →
overpass7–13-0.0314%2 Apr →
ancient13–20.056%2 Apr →
inferno12–160.0318%2 Apr →
inferno8–130.0215%2 Apr →
nuke13–70.0211%1 Apr →
ancient10–130.008%1 Apr →
ancient3–13-0.0111%30 Mar →
dust213–50.0814%30 Mar →
inferno13–40.0711%30 Mar →
inferno8–8-0.085%30 Mar →
inferno9–13-0.0516%27 Mar →
dust212–12-0.0523%10 Mar →
nuke3–13-0.0811%5 Mar →
ancient4–13-0.0711%3 Mar →
dust27–13-0.0412%3 Mar →
inferno13–16-0.0410%27 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 →

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