Cool Slice

Cool Slice — CS2 Stats

76561198263204725[U:1:302938997]Steam profile ↗✓ No bans

4,290Tracked matches46%Win rate2021Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating23,890Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#33675 of 260005 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 23,890 +2,858 8 Aug – 2 Nov · 35 days played
20,00025,345peak 25,3458 Aug2 Nov
Faceit ELO: 1,593 +0 2 Sept – 4 Sept · 2 observations
1,5931,593peak 1,5932 Sept4 Sept
25,462Peak Premier in tracked matches
1,593Highest Faceit ELO seen on CSDB
43Days played since 2026-08-08

Premier CS Rating

  • 1,455 below peak (25,345)
  • +613 over 30 days · improving
  • +2,858 over 90 days
  • Next: Red band at 25,000 — 1,110 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGCool SliceFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,890 · Pink bandPEAK ELO1,593csdb.gg/stats

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Performance scores

Aim75
Positioning63
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +9.6pp headshot accuracy · +23ms reaction

Win rate up 30pp 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 23%
  • Avg reaction 544ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 489ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 477ms

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 (+2.1 against its own average).

Aim7.5
Utility5.2
Positioning6.3
Opening Duels2.2
Clutch3.2

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

iM

Plays most like iM 93% playstyle similarity

Most alike: utility contribution, positioning 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

CT openings. Opening success drops from 61% on T to 40% on CT — first contacts on the defending side are being lost.

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

Aim7.5
Positioning6.3
Utility5.2
Mechanics5.9
Opening Duels5.1
Win Impact3.8

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time496ms−23ms
first ⅓ avg 518ms → last ⅓ avg 496ms
Headshot accuracy16.4%−3.7%
first ⅓ avg 20.1% → last ⅓ avg 16.4%

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

0.11Best match rating · 13–3 · mirage, 28 Aug →
100%Best headshot accuracy · 0–4 · vertigo, 19 Aug →
344msFastest reaction time · 1–13 · inferno, 26 Oct →
13–1Biggest win · ancient, 16 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 82% over 11nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoC198–1142%-0.01
dust2C198–1142%-0.02
mirageS1611–569%0.01
anubisA138–562%-0.00
ancientS119–282%-0.01
nukeD103–730%-0.01
cacheA95–456%-0.01
vertigo—31–233%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,403Matches
50%Win rate
1.02Avg K/D
79.0ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage37046%1.0015.0
Dust225246%1.0015.1
Anubis22357%1.0716.2
Ancient18851%1.0515.5
Inferno13848%0.9915.2
Nuke12449%0.9715.0
Vertigo3574%1.1417.2
Cache3050%0.9413.5

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.

15.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
37.4%Spray accuracy
76.4%Counter-strafing
8.3°Preaim
486msReaction time
61.0%T opening success
39.8%CT opening success
0.57Enemies flashed / flash
6.9%Flash assists
8.02HE damage / grenade
6.89Flashes / 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 14.9681% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.7684% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno0–6-0.0527%2 Nov →
inferno10–13-0.0019%2 Nov →
dust213–80.0621%2 Nov →
cache16–12-0.0514%2 Nov →
inferno8–13-0.0432%1 Nov →
anubis13–90.0415%31 Oct →
ancient13–7-0.0124%31 Oct →
cache13–8-0.0016%31 Oct →
inferno13–40.0529%31 Oct →
anubis9–13-0.0514%31 Oct →
mirage9–13-0.0514%31 Oct →
inferno10–13-0.039%31 Oct →
dust212–160.048%30 Oct →
cache13–9-0.0513%30 Oct →
anubis13–4-0.0117%30 Oct →
anubis13–40.0117%30 Oct →
inferno11–130.0110%29 Oct →
dust210–13-0.067%29 Oct →
inferno3–13-0.099%28 Oct →
anubis15–15-0.0510%28 Oct →
nuke0–13-0.0233%28 Oct →
cache14–16-0.059%28 Oct →
mirage4–13-0.095%28 Oct →
inferno1–13-0.107%26 Oct →
ancient13–90.0224%26 Oct →
dust215–15-0.068%26 Oct →
cache16–140.0523%25 Oct →
ancient13–100.0118%25 Oct →
mirage7–13-0.0217%21 Oct →
mirage13–9-0.0313%21 Oct →
ancient11–2-0.048%21 Oct →
nuke13–9-0.0317%21 Oct →
nuke13–50.0536%20 Oct →
anubis6–13-0.0619%20 Oct →
dust213–10-0.0424%20 Oct →
anubis11–13-0.0211%20 Oct →
nuke6–13-0.0721%20 Oct →
anubis16–130.0319%19 Oct →
dust25–13-0.0310%19 Oct →
dust28–13-0.0711%16 Oct →
dust216–130.0516%16 Oct →
mirage13–110.0118%16 Oct →
cache7–13-0.067%15 Oct →
dust215–15-0.059%15 Oct →
mirage16–13-0.0111%15 Oct →
inferno13–30.0914%15 Oct →
mirage16–120.0317%14 Oct →
mirage13–100.0021%14 Oct →
cache9–130.0819%14 Oct →
ancient13–9-0.069%12 Oct →
inferno4–13-0.0422%11 Oct →
dust213–5-0.0015%11 Oct →
cache3–13-0.0333%9 Oct →
anubis13–100.0511%7 Oct →
mirage13–80.0213%7 Oct →
inferno9–2-0.0415%24 Sept →
dust23–13-0.0514%23 Sept →
ancient9–13-0.0513%19 Sept →
cache13–5-0.0322%18 Sept →
nuke9–130.0128%16 Sept →
anubis13–30.0628%16 Sept →
ancient13–60.0120%15 Sept →
inferno13–50.0613%15 Sept →
mirage13–80.0214%15 Sept →
inferno13–10-0.0319%10 Sept →
dust210–13-0.0517%10 Sept →
mirage16–12-0.0322%8 Sept →
dust213–11-0.0615%8 Sept →
dust213–6-0.0417%7 Sept →
nuke13–7-0.029%6 Sept →
dust216–13-0.0428%6 Sept →
dust213–70.1022%5 Sept →
ancient16–14-0.0414%4 Sept →
dust25–13-0.0720%3 Sept →
mirage13–70.0422%3 Sept →
inferno9–6-0.0311%3 Sept →
dust24–130.0217%1 Sept →
mirage10–130.0122%1 Sept →
anubis13–20.0321%1 Sept →
inferno6–90.0213%31 Aug →
inferno7–90.0122%31 Aug →
anubis7–13-0.0324%31 Aug →
inferno11–13-0.0224%31 Aug →
nuke4–9-0.0816%30 Aug →
mirage13–30.1120%28 Aug →
ancient13–90.1032%26 Aug →
anubis13–7-0.0130%25 Aug →
vertigo4–13-0.0319%22 Aug →
dust24–13-0.0510%19 Aug →
inferno9–6-0.0213%19 Aug →
vertigo0–4-0.07100%19 Aug →
mirage11–130.0718%19 Aug →
nuke8–130.0226%19 Aug →
inferno9–4-0.000%16 Aug →
nuke8–80.0717%16 Aug →
ancient13–10.0515%16 Aug →
ancient4–13-0.0714%10 Aug →
nuke8–13-0.054%9 Aug →
vertigo13–20.0425%9 Aug →
mirage13–100.048%8 Aug →

Match data via Leetify.

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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