Kontulan Koldzera

Kontulan Koldzera — CS2 Stats

CN76561198148522521[U:1:188256793]Steam profile ↗✓ No bans

1,484Tracked matches53%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 1,484
+3.3ppWin rate · 50.0% → 53.3%

Rating over time

Premier CS Rating: 20,877 +724 9 Apr – 1 Jul · 18 days played
19,35922,774peak 22,7749 Apr1 Jul
23,071Peak Premier in tracked matches
41Days played since 2026-04-08

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

Share this profile

CSDB.GGKontulan KoldzeraFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning64
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWWWLLWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +5.1pp headshot accuracy · +10ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 600ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 555ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 550ms

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 (+1.4 against its own average).

Aim6.7
Utility6.4
Positioning6.4
Opening Duels4.3
Clutch2.8

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 567ms 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
Positioning6.4
Utility6.4
Mechanics6.3
Opening Duels4.5
Win Impact6.1

Composite 6.3/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time564ms−75ms
first ⅓ avg 639ms → last ⅓ avg 564ms
Headshot accuracy18.2%+2.9%
first ⅓ avg 15.3% → last ⅓ avg 18.2%

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 · 13–3 · nuke, 26 Apr →
33%Best headshot accuracy · 6–13 · nuke, 25 Jun →
375msFastest reaction time · 13–5 · cache, 6 May →
13–1Biggest win · cache, 30 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 59% over 17infernoWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
cacheB2513–1252%0.00
infernoC229–1341%0.02
nukeA1710–759%0.02
mirageB179–853%-0.00
overpassC73–443%0.01
anubisA74–357%-0.00
dust2—33–0100%0.03
ancient—20–20%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,172Matches
57%Win rate
1.13Avg K/D
83.9ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
18Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno16860%1.2517.2
Nuke15861%1.1916.8
Anubis8346%1.0117.3
Overpass7158%1.1015.8
Vertigo6551%1.0615.8
Mirage3834%1.0016.5
Ancient3650%1.0816.4
Train967%1.4718.4

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.

18.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.4%Spray accuracy
78.2%Counter-strafing
10.5°Preaim
567msReaction time
40.8%T opening success
54.8%CT opening success
0.65Enemies flashed / flash
9.9%Flash assists
7.82HE damage / grenade
9.49Flashes / match

Recommended for you

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.

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0214%11 Oct →
cache13–30.1227%3 Oct →
nuke13–110.0216%3 Oct →
inferno11–13-0.0413%3 Oct →
nuke0–6-0.0613%2 Oct →
inferno13–40.0823%2 Oct →
inferno4–13-0.0721%2 Oct →
overpass13–30.1322%5 Sept →
inferno13–90.0823%5 Sept →
inferno11–13-0.0115%5 Sept →
inferno4–130.0115%5 Sept →
inferno2–13-0.018%30 Aug →
inferno9–13-0.0513%30 Aug →
inferno2–9-0.068%15 Jul →
mirage9–130.0820%15 Jul →
mirage13–5-0.0217%15 Jul →
mirage13–10-0.0613%6 Jul →
mirage8–130.039%1 Jul →
nuke13–40.0514%29 Jun →
nuke13–70.0518%25 Jun →
nuke13–90.0717%25 Jun →
inferno6–13-0.0025%25 Jun →
nuke6–130.0733%25 Jun →
inferno13–30.0631%25 Jun →
nuke5–13-0.079%24 Jun →
dust213–2-0.0523%24 Jun →
anubis5–130.028%23 Jun →
inferno13–110.0425%23 Jun →
mirage11–130.0326%22 Jun →
overpass13–70.0627%13 Jun →
anubis16–13-0.0118%13 Jun →
nuke13–110.0518%10 Jun →
dust213–80.0216%10 Jun →
overpass6–13-0.0020%10 Jun →
nuke9–13-0.0129%10 Jun →
inferno7–130.0414%10 Jun →
cache13–4-0.0128%10 Jun →
mirage14–160.0410%10 Jun →
inferno13–20.0519%9 Jun →
mirage13–10-0.038%4 Jun →
nuke13–60.0316%3 Jun →
mirage13–40.0817%3 Jun →
dust213–40.1217%3 Jun →
mirage9–13-0.0610%2 Jun →
nuke9–13-0.0518%28 May →
mirage0–4-0.080%28 May →
mirage5–13-0.0412%27 May →
anubis10–130.0015%27 May →
inferno11–13-0.0215%27 May →
mirage16–120.0821%27 May →
overpass11–130.0127%24 May →
inferno7–13-0.0119%18 May →
mirage13–50.0214%13 May →
cache12–120.0626%12 May →
cache6–130.0229%12 May →
cache11–13-0.0220%9 May →
cache2–13-0.036%8 May →
cache4–13-0.0931%8 May →
cache13–30.0817%7 May →
cache3–13-0.0611%7 May →
cache7–13-0.0520%6 May →
cache13–5-0.0125%6 May →
cache11–13-0.0513%5 May →
cache13–60.0127%5 May →
cache9–13-0.0224%5 May →
inferno13–80.0821%4 May →
cache13–100.0719%4 May →
cache13–60.0314%4 May →
cache13–9-0.0218%4 May →
cache7–13-0.0613%4 May →
cache13–7-0.0013%4 May →
nuke3–13-0.0613%4 May →
nuke1–8-0.1012%4 May →
inferno10–13-0.0113%4 May →
cache13–50.0128%4 May →
cache5–13-0.0320%4 May →
cache13–10.0422%30 Apr →
cache13–100.0612%30 Apr →
cache9–130.0514%29 Apr →
cache13–8-0.0113%29 Apr →
overpass13–6-0.0015%27 Apr →
mirage13–8-0.0110%27 Apr →
ancient10–13-0.0115%27 Apr →
inferno13–10.1510%27 Apr →
nuke13–60.1112%27 Apr →
anubis2–13-0.046%27 Apr →
overpass14–16-0.0114%26 Apr →
nuke13–30.1621%26 Apr →
anubis13–70.0513%22 Apr →
inferno13–40.0620%22 Apr →
mirage13–8-0.0524%21 Apr →
mirage13–3-0.0617%21 Apr →
anubis13–8-0.0018%17 Apr →
overpass11–13-0.0815%14 Apr →
nuke13–30.0420%14 Apr →
inferno5–130.0517%14 Apr →
anubis13–4-0.0324%14 Apr →
nuke13–5-0.009%14 Apr →
ancient4–13-0.0514%9 Apr →
mirage5–13-0.006%8 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.