krazy

krazy — CS2 Stats

PRO/SAWPortugalRiflerSettings & gear profile →

76561198860760060[U:1:900494332]Steam profile ↗✓ No bans

3,276Tracked matches47%Win rate2020Tracked since
CSDB Rating6.9 SolidAggressive Rifler
CSDB Leaderboard#11371 of 14554 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

3,974Peak Faceit ELO on CSDB
1Days observed since 2026-08-27

Faceit ELO

  • At peak — 3,974
  • Next: 4,000 ELO at 4,000 26 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGkrazyPEAK ELO3,974csdb.gg/stats

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Performance scores

Aim90
Positioning62
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY4852Last 10048%Win rateWLWLWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.0
Aggression7.1
Utility5.0
Positioning6.2
Opening Duels3.2
Clutch4.2

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 95% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning6.2
Utility5.0
Mechanics8.1
Opening Duels3.2
Win Impact3.9

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time516ms−16ms
first ⅓ avg 532ms → last ⅓ avg 516ms
Headshot accuracy18.3%+0.0%
first ⅓ avg 18.3% → last ⅓ avg 18.3%

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.

Highlights

0.13Best rating — nuke 13–4
131Biggest win — inferno
5Longest win streak
610In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 70% over 10anubisWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%-0.01
nukeA1912763%0.02
ancientC1981142%-0.00
infernoB136746%0.01
anubisD123925%-0.02
overpassS107370%0.00
cache21150%0.00
train21150%0.01
mirage1010%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,322Matches
56%Win rate
1.29Avg K/D
89.9ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
16Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient45455%1.3418.9
Anubis44057%1.3218.5
Dust234859%1.3018.9
Mirage23652%1.3019.6
Inferno14162%1.3318.4
Vertigo10961%1.2318.0
Nuke8449%1.2117.2
Train4858%1.5219.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$5,608Inventory value59ItemsFull inventory breakdown →
AK-47 | Gold Arabesque (Field-Tested)$1,720★ Sport Gloves | Nocts (Minimal Wear)$1,535★ Butterfly Knife | Bright Water (Field-Tested)$826★ Hand Wraps | Cobalt Skulls (Minimal Wear)$597★ Skeleton Knife | Damascus Steel (Factory New)$370M4A1-S | Fade (Factory New)$326

Skill profile

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

18.5%Headshot accuracy
41.4%Accuracy (enemy spotted)
43.0%Spray accuracy
86.6%Counter-strafing
9.1°Preaim
512msReaction time
36.4%T opening success
49.5%CT opening success
0.52Enemies flashed / flash
6.3%Flash assists
6.29HE damage / grenade
9.09Flashes / 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

    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 36.4416% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0221%13 Aug
cache9–13-0.0422%9 Aug
nuke13–90.0325%9 Aug
ancient9–13-0.0220%9 Aug
inferno13–9-0.0215%8 Aug
anubis13–110.0122%8 Aug
inferno10–13-0.0018%7 Aug
anubis10–13-0.0112%7 Aug
cache19–150.0516%7 Aug
inferno13–100.0515%7 Aug
inferno8–13-0.0130%16 Jun
ancient1–13-0.0418%15 Jun
dust213–50.0419%7 Jun
dust213–70.0224%4 Jun
inferno13–80.0725%2 Jun
overpass13–110.0119%2 Jun
ancient13–70.0427%30 May
anubis4–13-0.0314%21 May
dust211–13-0.0422%20 May
overpass2–13-0.0420%12 May
mirage11–130.0310%12 May
dust210–13-0.0114%11 May
ancient13–11-0.0022%23 Apr
overpass13–50.0017%22 Apr
dust213–7-0.0014%22 Apr
ancient13–16-0.0317%22 Apr
dust27–130.0126%22 Apr
ancient2–13-0.0423%22 Apr
dust216–190.0111%22 Apr
anubis9–13-0.058%22 Apr
ancient13–70.039%22 Apr
dust26–13-0.0118%22 Apr
anubis13–11-0.0215%21 Apr
ancient16–140.0324%15 Apr
overpass10–130.0117%7 Apr
ancient3–13-0.0411%7 Apr
dust210–13-0.0517%6 Apr
overpass13–90.0328%6 Apr
nuke13–40.079%6 Apr
ancient11–13-0.0120%5 Apr
anubis10–13-0.0916%5 Apr
overpass13–11-0.0020%5 Apr
dust23–13-0.054%4 Apr
ancient11–130.0014%4 Apr
anubis11–130.0017%3 Apr
ancient13–90.0313%2 Apr
anubis13–70.0114%23 Mar
dust213–8-0.0521%18 Mar
inferno13–50.0513%18 Mar
inferno11–130.0118%14 Mar
anubis5–13-0.0513%13 Mar
ancient16–120.0618%4 Mar
ancient16–13-0.0111%26 Feb
dust29–13-0.0311%23 Feb
nuke2–13-0.0121%23 Feb
dust29–13-0.0311%23 Feb
nuke2–13-0.0121%23 Feb
nuke13–70.0417%23 Feb
overpass13–8-0.0120%23 Feb
nuke13–70.0417%23 Feb
overpass13–8-0.0120%23 Feb
nuke13–16-0.038%23 Feb
ancient5–13-0.0433%23 Feb
nuke13–16-0.038%23 Feb
ancient5–13-0.0433%23 Feb
nuke13–90.0414%22 Feb
nuke13–90.0414%22 Feb
nuke7–13-0.0619%22 Feb
nuke7–13-0.0619%22 Feb
inferno7–13-0.0511%22 Feb
inferno7–13-0.0511%22 Feb
dust213–6-0.0515%22 Feb
dust213–6-0.0515%22 Feb
nuke13–40.1317%22 Feb
nuke13–40.1317%22 Feb
anubis10–130.0117%10 Feb
nuke7–13-0.0119%7 Feb
inferno10–13-0.0219%7 Feb
ancient13–60.0816%6 Feb
nuke13–100.0624%6 Feb
anubis10–13-0.0120%5 Feb
ancient3–13-0.0223%2 Feb
nuke13–6-0.0110%2 Feb
dust28–13-0.0429%2 Feb
dust210–130.0215%30 Jan
nuke13–9-0.0228%30 Jan
dust213–70.0722%30 Jan
overpass16–130.0225%28 Jan
inferno13–10.1019%28 Jan
nuke13–6-0.038%22 Jan
inferno9–130.0427%22 Jan
ancient11–13-0.0621%22 Jan
dust214–160.0618%21 Jan
anubis11–13-0.0523%21 Jan
dust213–70.0620%27 Dec
train13–160.0215%21 Dec
overpass14–160.0315%21 Dec
train13–100.0119%21 Dec
inferno13–7-0.0215%21 Dec
dust213–7-0.0113%21 Dec

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →