Kicker

Kicker — CS2 Stats

76561197961585105[U:1:1319377]Steam profile ↗✓ No bans

2,239Tracked matches31%Win rate2020Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating14,794Blue band · top ~29.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 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: 14,794 +2,616 30 Aug – 31 Oct · 27 days played
12,17815,887peak 15,88730 Aug31 Oct
16,576Peak Premier in tracked matches
31Days played since 2026-08-30

Premier CS Rating

  • 1,093 below peak (15,887)
  • +1,369 over 30 days · improving
  • Next: Purple band at 15,000 — 206 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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

Share this profile

CSDB.GGKickerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,794 · Blue bandcsdb.gg/stats

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Performance scores

Aim11
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

COLD40–54–6Last 10040%Win rateLLLLLLLLWL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +0.3pp headshot accuracy · +106ms reaction

Win rate down 40pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 766ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 694ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 641ms

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).

Aim1.1
Utility6.4
Positioning5.6
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.

Strengths & areas to improve

Areas to improve

Reaction time. 645ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim1.1
Positioning5.6
Utility6.4
Mechanics1.3
Opening Duels5.6
Win Impact0.0

Composite 3.0/10 (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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time638ms+49ms
first ⅓ avg 589ms → last ⅓ avg 638ms
Headshot accuracy13.8%−0.3%
first ⅓ avg 14.1% → last ⅓ avg 13.8%

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

0.12Best match rating · 10–2 · inferno, 8 Oct →
32%Best headshot accuracy · 8–1 · dust2, 21 Oct →
430msFastest reaction time · 13–7 · cache, 28 Oct →
13–1Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L8Current streak
4–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 67% over 12dust2Weakest map · 21% over 24
MapGradePlayedRecordWin rateAvg rating
dust2D245–1921%-0.02
infernoA169–756%0.02
cacheC146–843%-0.03
nukeS128–467%-0.01
mirageD113–827%-0.02
ancientC83–538%0.01
anubisC83–538%0.02
vertigo—32–167%-0.02
train—10–10%0.02
overpass—10–10%-0.02
shelter—10–10%-0.05
office—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

204Matches
49%Win rate
0.75Avg K/D
—ADR
32%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

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.

13.4%Headshot accuracy
23.9%Accuracy (enemy spotted)
28.9%Spray accuracy
55.9%Counter-strafing
14.2°Preaim
645msReaction time
56.2%T opening success
48.3%CT opening success
0.61Enemies flashed / flash
6.7%Flash assists
12.09HE damage / grenade
8.88Flashes / 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 14.1921° — 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 13.4218% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

21% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0520%31 Oct →
dust210–13-0.0416%31 Oct →
mirage6–13-0.0217%30 Oct →
dust24–13-0.0414%30 Oct →
ancient11–13-0.079%30 Oct →
dust210–13-0.0114%30 Oct →
nuke8–13-0.0210%30 Oct →
dust211–130.017%29 Oct →
nuke16–12-0.006%29 Oct →
inferno10–130.0314%28 Oct →
cache13–70.049%28 Oct →
dust24–13-0.0810%28 Oct →
dust211–13-0.0521%28 Oct →
cache16–13-0.016%28 Oct →
nuke13–10-0.0413%28 Oct →
nuke15–15-0.0112%27 Oct →
dust212–16-0.0414%26 Oct →
anubis16–120.023%26 Oct →
ancient13–7-0.0018%26 Oct →
cache6–13-0.0517%26 Oct →
ancient13–100.0113%25 Oct →
dust213–60.0519%25 Oct →
dust24–13-0.0310%25 Oct →
inferno7–130.0519%25 Oct →
cache2–13-0.0811%24 Oct →
inferno4–13-0.0217%24 Oct →
train11–130.0217%24 Oct →
dust27–13-0.0522%23 Oct →
mirage4–13-0.0519%23 Oct →
dust213–20.0322%23 Oct →
inferno13–100.0214%23 Oct →
nuke12–8-0.0518%23 Oct →
mirage10–13-0.028%23 Oct →
anubis1–13-0.0329%23 Oct →
ancient10–130.0515%22 Oct →
dust213–10-0.0229%22 Oct →
mirage13–7-0.0414%22 Oct →
ancient13–100.0915%21 Oct →
dust28–10.0132%21 Oct →
cache8–13-0.0711%21 Oct →
inferno13–8-0.0214%21 Oct →
dust23–13-0.070%21 Oct →
cache13–16-0.0218%20 Oct →
inferno13–80.0215%20 Oct →
nuke13–110.0012%20 Oct →
ancient4–130.025%20 Oct →
anubis9–130.0110%19 Oct →
dust28–13-0.0720%17 Oct →
nuke13–40.0214%17 Oct →
mirage13–80.0719%17 Oct →
nuke3–13-0.0411%16 Oct →
overpass4–13-0.028%16 Oct →
cache13–20.045%15 Oct →
nuke13–10.0525%15 Oct →
inferno15–15-0.018%15 Oct →
mirage7–13-0.0211%15 Oct →
vertigo7–3-0.0420%14 Oct →
dust28–130.0922%13 Oct →
vertigo3–13-0.0420%13 Oct →
shelter10–13-0.0526%13 Oct →
inferno13–11-0.054%12 Oct →
mirage10–13-0.0710%12 Oct →
inferno13–8-0.0118%12 Oct →
dust29–13-0.0614%12 Oct →
anubis12–120.0615%11 Oct →
dust27–13-0.045%10 Oct →
office13–60.0212%10 Oct →
ancient5–13-0.0010%9 Oct →
cache13–8-0.0111%9 Oct →
cache2–13-0.0523%9 Oct →
inferno13–60.0316%9 Oct →
dust215–15-0.0111%8 Oct →
cache5–13-0.0523%8 Oct →
nuke13–100.0516%8 Oct →
inferno10–20.1229%8 Oct →
cache13–80.0610%6 Oct →
dust22–13-0.0317%6 Oct →
inferno13–70.078%5 Oct →
inferno5–13-0.077%3 Oct →
mirage15–150.0016%3 Oct →
nuke13–100.017%2 Oct →
anubis8–13-0.0116%2 Oct →
mirage1–13-0.098%2 Oct →
anubis7–13-0.007%2 Oct →
mirage13–11-0.0217%2 Oct →
inferno9–130.0927%30 Sept →
dust213–100.0213%30 Sept →
anubis13–80.0819%30 Sept →
anubis13–100.0530%30 Sept →
cache8–13-0.054%30 Sept →
inferno15–150.015%29 Sept →
ancient11–130.029%27 Sept →
dust23–13-0.048%27 Sept →
inferno13–20.0525%27 Sept →
cache16–14-0.0412%27 Sept →
nuke3–13-0.0511%26 Sept →
dust27–130.0416%26 Sept →
mirage9–130.038%26 Sept →
cache8–13-0.089%26 Sept →
vertigo13–60.0217%26 Sept →

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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