kola

kola — CS2 Stats

DZ76561198442271024[U:1:482005296]Steam profile ↗✓ No bans

548Tracked matches46%Win rate2020Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating11,878Blue band · top ~44.9% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (12 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: 11,878 -1,231 15 Oct – 3 Nov · 14 days played
11,16113,109peak 13,10915 Oct3 Nov
13,184Peak Premier in tracked matches
25Days played since 2026-10-15

Premier CS Rating

  • 1,231 below peak (13,109)
  • Next: Purple band at 15,000 — 3,122 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-15
  • Light Blue band first seen 2026-10-15

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

Share this profile

CSDB.GGkolaPREMIER11,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim25
Positioning62
Utility65

0–100 skill scores via Leetify.

Recent form

COLD41–50–9Last 10041%Win rateLLLWWLLWLT

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +8ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 663ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

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 against its own average).

Aim2.5
Utility6.5
Positioning6.2
Opening Duels3.9

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

jL

Plays most like jL 51% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5
Positioning6.2
Utility6.5
Mechanics1.0
Opening Duels6.1
Win Impact3.8

Composite 3.9/10 (Learning), 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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time587ms−3ms
first ⅓ avg 590ms → last ⅓ avg 587ms
Headshot accuracy13.7%+1.2%
first ⅓ avg 12.6% → last ⅓ avg 13.7%

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 · 13–1 · mirage, 17 Oct →
30%Best headshot accuracy · 13–8 · inferno, 25 Oct →
352msFastest reaction time · 1–13 · dust2, 19 Oct →
13–1Biggest win · inferno, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 34% over 32
MapGradePlayedRecordWin rateAvg rating
dust2C3915–2438%-0.01
infernoD3211–2134%-0.00
mirageC135–838%0.02
cacheS54–180%0.01
nuke—42–250%0.02
anubis—42–250%0.01
ancient—32–167%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (34% over 32). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.0%Headshot accuracy
30.5%Accuracy (enemy spotted)
29.9%Spray accuracy
54.5%Counter-strafing
12.8°Preaim
585msReaction time
61.3%T opening success
47.8%CT opening success
0.61Enemies flashed / flash
2.3%Flash assists
13.46HE damage / grenade
10.83Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7509° — above the 12° mark we flag

    Aim Training →
  2. 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 13.9566% — below the 15% mark we flag

    Aim Training →
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.

34% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0413%13 Nov →
inferno6–13-0.0419%12 Nov →
inferno8–13-0.038%10 Nov →
inferno13–8-0.057%8 Nov →
mirage13–60.0613%6 Nov →
dust26–13-0.0218%6 Nov →
inferno10–13-0.0115%6 Nov →
dust213–110.0321%5 Nov →
dust29–13-0.0117%5 Nov →
inferno12–12-0.0115%5 Nov →
dust213–10-0.0217%4 Nov →
dust29–130.0710%4 Nov →
dust213–90.1312%4 Nov →
dust25–13-0.0519%4 Nov →
inferno11–13-0.0411%3 Nov →
cache13–30.0417%3 Nov →
dust213–110.1214%3 Nov →
mirage8–13-0.0117%2 Nov →
inferno13–11-0.0110%2 Nov →
dust27–13-0.1110%2 Nov →
dust28–13-0.0410%2 Nov →
dust213–9-0.0810%2 Nov →
dust213–5-0.0116%1 Nov →
dust213–11-0.0115%1 Nov →
inferno8–13-0.0113%1 Nov →
dust212–12-0.0421%1 Nov →
inferno13–40.0513%1 Nov →
inferno13–10-0.0218%1 Nov →
nuke11–130.0311%31 Oct →
anubis11–130.0414%31 Oct →
anubis16–14-0.0114%31 Oct →
dust211–13-0.018%30 Oct →
inferno10–13-0.0111%29 Oct →
anubis9–13-0.0520%29 Oct →
inferno12–120.0412%29 Oct →
mirage13–40.0112%28 Oct →
dust210–130.0216%28 Oct →
anubis13–100.0615%28 Oct →
cache13–60.065%28 Oct →
inferno3–13-0.0422%28 Oct →
dust213–9-0.0815%28 Oct →
dust29–13-0.0612%28 Oct →
inferno13–50.0512%28 Oct →
inferno8–13-0.0010%27 Oct →
dust213–50.0219%27 Oct →
dust24–13-0.0210%27 Oct →
ancient13–11-0.005%27 Oct →
dust27–13-0.0314%27 Oct →
inferno13–11-0.0518%27 Oct →
dust25–13-0.106%27 Oct →
inferno12–12-0.0617%26 Oct →
inferno12–120.0118%26 Oct →
dust29–130.0222%25 Oct →
dust213–40.0120%25 Oct →
inferno10–130.0012%25 Oct →
dust213–3-0.0113%25 Oct →
inferno13–8-0.0230%25 Oct →
dust212–12-0.0219%24 Oct →
inferno4–13-0.017%24 Oct →
ancient1–13-0.069%23 Oct →
mirage13–100.0317%23 Oct →
cache13–8-0.017%23 Oct →
dust213–80.0312%23 Oct →
dust23–13-0.0611%23 Oct →
dust213–5-0.0110%23 Oct →
mirage12–120.0315%22 Oct →
mirage10–13-0.0016%21 Oct →
inferno13–10.1017%21 Oct →
inferno13–60.0011%21 Oct →
dust213–90.029%21 Oct →
mirage10–130.0318%21 Oct →
dust212–12-0.0115%21 Oct →
inferno13–30.0715%21 Oct →
dust211–13-0.017%20 Oct →
mirage10–130.0016%20 Oct →
cache13–60.0212%20 Oct →
mirage13–1-0.0213%20 Oct →
inferno1–7-0.036%20 Oct →
inferno10–130.0413%20 Oct →
inferno6–13-0.0111%20 Oct →
dust27–13-0.079%20 Oct →
cache4–13-0.0312%19 Oct →
inferno11–13-0.0411%19 Oct →
nuke4–13-0.0324%19 Oct →
inferno7–130.0518%19 Oct →
dust21–13-0.030%19 Oct →
dust25–130.0610%18 Oct →
inferno14–160.0314%18 Oct →
ancient13–60.0911%18 Oct →
mirage10–13-0.0210%18 Oct →
inferno13–30.0811%18 Oct →
inferno10–13-0.066%18 Oct →
dust213–6-0.0416%18 Oct →
nuke13–50.1012%18 Oct →
nuke13–70.0015%17 Oct →
mirage13–10.1423%17 Oct →
dust212–12-0.0216%17 Oct →
mirage7–130.0115%17 Oct →
mirage0–13-0.027%17 Oct →
dust210–130.0615%17 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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