priceykoala

priceykoala — CS2 Stats

AU76561199865217368[U:1:1904951640]Steam profile ↗✓ No bans

431Tracked matches28%Win rate2025Tracked since
CSDB Rating1.6 LearningClutch Specialist
Premier CS Rating1,000Grey band · top ~95.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 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: 1,000 +0 8 Sept – 10 Oct · 25 days played
1,0001,339peak 1,3398 Sept10 Oct
1,339Peak Premier in tracked matches
25Days played since 2026-09-08

Premier CS Rating

  • 339 below peak (1,339)
  • -227 over 30 days · steady
  • Next: Light Blue band at 5,000 — 4,000 to go

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

Share this profile

CSDB.GGpriceykoalaPREMIER1,000 · Grey bandcsdb.gg/stats

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Performance scores

Aim17
Positioning29
Utility5

0–100 skill scores via Leetify.

Recent form

STEADY26–72–2Last 10026%Win rateLLLWWWWLLL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −2.6pp headshot accuracy · −63ms 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 623ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 657ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 688ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+6.7 against its own average).

Aim1.7
Utility0.5
Positioning2.9
Opening Duels0.0
Clutch10.0

Limited utility dependenceReliable in 1v1s

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 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. 696ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim1.7
Positioning2.9
Utility0.5
Mechanics4.0
Opening Duels0.0
Win Impact0.0

Composite 1.6/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time690ms−25ms
first ⅓ avg 715ms → last ⅓ avg 690ms
Headshot accuracy12.9%+0.7%
first ⅓ avg 12.2% → last ⅓ avg 12.9%

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

0.07Best match rating · 13–7 · ancient, 16 Sept →
33%Best headshot accuracy · 2–13 · inferno, 6 Oct →
453msFastest reaction time · 6–13 · anubis, 1 Oct →
13–0Biggest win · mirage, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 47% over 17nukeWeakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
dust2D256–1924%-0.05
nukeD193–1616%-0.06
mirageB178–947%-0.04
ancientD173–1418%-0.05
infernoD93–633%-0.07
anubisD82–625%-0.04
cacheD51–420%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (16% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.50Avg K/D
45.0ADR
45%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.335.0
Dust210%0.6710.0

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.

12.0%Headshot accuracy
30.6%Accuracy (enemy spotted)
29.1%Spray accuracy
68.2%Counter-strafing
15.1°Preaim
696msReaction time
20.2%T opening success
18.4%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
5.91HE damage / grenade
0.19Flashes / 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 15.0728° — 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 11.9581% — below the 15% mark we flag

    Aim Training →
  3. 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 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0216%10 Oct →
nuke11–13-0.079%9 Oct →
anubis5–13-0.0913%9 Oct →
mirage16–13-0.0716%8 Oct →
cache13–20.009%8 Oct →
inferno13–8-0.070%7 Oct →
mirage13–11-0.044%7 Oct →
inferno2–13-0.1133%6 Oct →
ancient3–13-0.095%6 Oct →
mirage7–13-0.1213%4 Oct →
dust22–13-0.0628%4 Oct →
dust21–13-0.0111%4 Oct →
dust27–13-0.0527%4 Oct →
inferno4–13-0.107%4 Oct →
cache5–130.0215%4 Oct →
anubis9–13-0.0510%4 Oct →
nuke3–13-0.0618%4 Oct →
mirage4–13-0.0610%3 Oct →
dust213–11-0.0213%3 Oct →
ancient6–13-0.106%3 Oct →
dust22–13-0.1014%3 Oct →
ancient7–13-0.0010%2 Oct →
dust213–8-0.098%2 Oct →
nuke15–15-0.084%2 Oct →
anubis13–100.037%2 Oct →
cache11–13-0.0219%2 Oct →
nuke3–13-0.066%2 Oct →
mirage9–13-0.088%2 Oct →
ancient8–13-0.0821%1 Oct →
mirage13–0-0.0317%1 Oct →
nuke8–13-0.0417%1 Oct →
dust213–5-0.0516%1 Oct →
anubis6–13-0.0716%1 Oct →
dust23–130.0314%1 Oct →
inferno0–13-0.0721%1 Oct →
inferno14–16-0.0117%1 Oct →
mirage11–8-0.039%30 Sept →
ancient15–15-0.056%30 Sept →
anubis3–13-0.0311%30 Sept →
cache1–13-0.0620%30 Sept →
ancient1–12-0.0621%30 Sept →
nuke3–13-0.0620%29 Sept →
ancient11–4-0.095%29 Sept →
mirage13–5-0.0422%29 Sept →
dust26–13-0.0515%29 Sept →
mirage2–13-0.0413%29 Sept →
ancient13–40.0013%29 Sept →
mirage9–13-0.0621%28 Sept →
mirage11–130.0218%28 Sept →
anubis13–110.0312%28 Sept →
dust26–13-0.083%28 Sept →
ancient10–13-0.113%25 Sept →
mirage13–6-0.0312%25 Sept →
nuke14–16-0.0612%25 Sept →
ancient9–13-0.0415%25 Sept →
dust22–13-0.117%24 Sept →
nuke6–13-0.0610%24 Sept →
cache4–13-0.045%24 Sept →
ancient8–13-0.0114%24 Sept →
nuke8–13-0.0914%24 Sept →
dust24–13-0.0614%24 Sept →
nuke11–13-0.083%23 Sept →
dust213–5-0.0219%23 Sept →
inferno13–7-0.1011%23 Sept →
mirage13–7-0.055%23 Sept →
anubis0–13-0.1013%22 Sept →
dust210–13-0.1113%22 Sept →
mirage7–13-0.0113%22 Sept →
dust25–13-0.1313%21 Sept →
ancient6–13-0.0312%21 Sept →
nuke13–4-0.025%21 Sept →
nuke6–13-0.068%21 Sept →
dust211–13-0.0221%21 Sept →
inferno9–13-0.059%21 Sept →
dust25–13-0.053%21 Sept →
ancient8–13-0.060%16 Sept →
dust21–13-0.125%16 Sept →
nuke13–11-0.1217%16 Sept →
ancient13–70.0714%16 Sept →
mirage13–5-0.088%15 Sept →
nuke10–13-0.0519%15 Sept →
nuke8–13-0.057%15 Sept →
anubis1–13-0.0119%14 Sept →
inferno8–13-0.0413%14 Sept →
dust211–13-0.0721%14 Sept →
ancient9–13-0.0013%13 Sept →
dust213–8-0.0213%12 Sept →
dust211–13-0.0418%12 Sept →
dust210–13-0.0114%12 Sept →
dust26–13-0.029%12 Sept →
inferno13–8-0.0816%12 Sept →
mirage7–13-0.0213%12 Sept →
nuke13–10-0.0514%12 Sept →
nuke11–13-0.0016%11 Sept →
nuke2–13-0.083%11 Sept →
ancient10–13-0.067%11 Sept →
ancient3–13-0.087%11 Sept →
nuke11–13-0.0024%11 Sept →
dust213–5-0.0621%10 Sept →
mirage3–9-0.039%8 Sept →

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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