coolfool

coolfool — CS2 Stats

76561198994972440[U:1:1034706712]Steam profile ↗✓ No bans

2,518Tracked matches40%Win rate2020Tracked since
3,084Hours in CS1Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating14,582Blue band · top ~30.6% of ranked players (population est.)
FaceitLevel 5 · 964 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGcoolfoolFACEITLevel 5 · 964 ELOSTANDINGTop 67.6% of rankedPREMIER14,582 · Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning46
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLLLWWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −3.7pp headshot accuracy · +12ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 687ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 669ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 663ms

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 (+1.8 against its own average).

Aim6.9
Utility4.0
Positioning4.6
Opening Duels0.8
Clutch1.8

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

iM

Plays most like iM 97% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Reaction time. 630ms 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

Aim6.9
Positioning4.6
Utility4.0
Mechanics7.0
Opening Duels0.6
Win Impact1.7

Composite 4.6/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time637ms−53ms
first ⅓ avg 689ms → last ⅓ avg 637ms
Headshot accuracy13.7%−3.0%
first ⅓ avg 16.7% → 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

0.15Best match rating · 13–1 · mirage, 8 Jul →
50%Best headshot accuracy · 1–13 · dust2, 17 Sept →
398msFastest reaction time · 8–13 · ancient, 14 Oct →
13–1Biggest win · mirage, 8 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
10–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 64% over 14mirageWeakest map · 27% over 30
MapGradePlayedRecordWin rateAvg rating
mirageD308–2227%-0.00
anubisA1710–759%0.01
ancientB178–947%-0.00
infernoC156–940%0.01
dust2A149–564%0.01
nuke—41–325%0.03
cache—31–233%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 30). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,457Lifetime kills
1.01K/D
4,113Matches
46.0%Match win rate
42.8%Headshot %
13.7%Shot accuracy
9,573MVPs
1,922Hours (in match)
3,970Bombs planted
1,563Bombs defused

Most-used weapons

AK-4728,700
AWP5,422
FAMAS2,232
MP92,098
MAC-101,801

Lifetime map wins

9,181dust2
9,150inferno
1,687nuke
680vertigo
413train
26lake
23stmarc
21safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

118Matches
53%Win rate
1.19Avg K/D
78.4ADR
41%Headshot %

Clutches & streaks

29%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21338%1.0415.0
Mirage1369%1.4617.2
Inferno1242%1.2118.9
Ancient771%0.9213.6
Anubis4100%1.0616.3
Nuke425%0.7912.8
Overpass1100%0.9110.0

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.

13.2%Headshot accuracy
39.4%Accuracy (enemy spotted)
42.8%Spray accuracy
81.4%Counter-strafing
10.8°Preaim
630msReaction time
32.4%T opening success
32.1%CT opening success
0.43Enemies flashed / flash
1.9%Flash assists
9.63HE damage / grenade
5.86Flashes / 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 13.2346% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4279 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.3723% — below the 40% mark we flag

Spend your practice time on Mirage

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

27% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–130.0210%13 Nov →
inferno5–13-0.0318%13 Nov →
mirage9–13-0.0215%31 Oct →
anubis13–10-0.036%31 Oct →
anubis13–30.0311%31 Oct →
dust26–130.0311%29 Oct →
nuke13–50.1211%29 Oct →
ancient13–80.0521%29 Oct →
inferno13–100.006%27 Oct →
anubis11–13-0.0410%27 Oct →
anubis13–20.0912%26 Oct →
dust24–13-0.0318%25 Oct →
mirage10–13-0.0516%25 Oct →
inferno5–13-0.0440%25 Oct →
cache0–13-0.098%24 Oct →
anubis11–13-0.0111%24 Oct →
anubis13–100.0012%24 Oct →
mirage13–50.0210%19 Oct →
dust213–20.0616%19 Oct →
inferno13–160.0113%18 Oct →
cache14–16-0.0012%17 Oct →
mirage4–13-0.0112%16 Oct →
inferno13–60.027%16 Oct →
mirage11–130.0121%16 Oct →
anubis13–10-0.0515%15 Oct →
mirage7–13-0.0411%15 Oct →
ancient7–130.0317%15 Oct →
mirage13–30.074%14 Oct →
ancient8–130.0112%14 Oct →
mirage9–13-0.0614%14 Oct →
ancient13–10-0.0123%13 Oct →
mirage9–13-0.0410%13 Oct →
cache13–110.0624%13 Oct →
anubis9–13-0.0516%9 Oct →
anubis13–110.0117%9 Oct →
nuke9–130.0114%9 Oct →
mirage11–130.0219%7 Oct →
dust27–13-0.0214%7 Oct →
dust27–13-0.0119%7 Oct →
anubis13–100.0011%6 Oct →
ancient16–13-0.069%6 Oct →
anubis1–13-0.018%6 Oct →
mirage11–13-0.0513%4 Oct →
ancient11–130.0111%4 Oct →
inferno13–8-0.0320%23 Sept →
anubis13–90.0813%23 Sept →
inferno13–100.0511%22 Sept →
mirage0–7-0.060%22 Sept →
anubis13–60.1425%22 Sept →
anubis7–13-0.0613%19 Sept →
ancient10–13-0.007%19 Sept →
inferno13–110.049%17 Sept →
inferno8–13-0.0312%17 Sept →
dust21–13-0.0350%17 Sept →
mirage6–13-0.0218%16 Sept →
mirage13–70.0219%16 Sept →
ancient9–13-0.0218%15 Sept →
inferno14–160.0611%15 Sept →
mirage13–80.0316%14 Sept →
inferno15–150.0014%12 Sept →
ancient13–110.0116%12 Sept →
inferno13–90.0826%10 Sept →
mirage6–13-0.037%10 Sept →
ancient13–100.0212%10 Sept →
dust213–11-0.0129%23 Aug →
ancient13–10-0.0316%12 Aug →
mirage9–13-0.0113%12 Aug →
ancient4–13-0.039%8 Aug →
inferno5–130.0222%8 Aug →
ancient7–13-0.0315%8 Aug →
anubis9–13-0.0420%8 Aug →
mirage13–50.0717%7 Aug →
mirage10–13-0.0318%6 Aug →
dust216–140.0718%4 Aug →
mirage10–13-0.0418%29 Jul →
mirage6–13-0.0215%29 Jul →
nuke11–13-0.0117%25 Jul →
mirage6–13-0.0015%25 Jul →
mirage9–13-0.0119%9 Jul →
anubis13–110.0420%9 Jul →
mirage13–10.1520%8 Jul →
ancient9–13-0.0414%7 Jul →
ancient13–90.0214%6 Jul →
mirage16–140.0627%6 Jul →
inferno11–13-0.0513%5 Jul →
dust213–20.0233%5 Jul →
mirage7–13-0.0617%5 Jul →
mirage5–13-0.0310%5 Jul →
anubis6–130.0726%3 Jul →
ancient13–50.067%3 Jul →
mirage13–60.0215%2 Jul →
dust216–130.0516%2 Jul →
inferno8–130.0111%2 Jul →
dust213–11-0.0213%1 Jul →
mirage6–130.0117%1 Jul →
mirage1–13-0.0216%26 Jun →
dust213–11-0.009%26 Jun →
dust213–30.068%26 Jun →
dust213–60.0217%26 Jun →
ancient9–13-0.0426%25 Jun →

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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