CrazyA70 — CS2 Stats

76561198035553349[U:1:75287621]

1,515Tracked matches47%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
FaceitLevel 10 · 2,333 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGCrazyA70FACEITLevel 10 · 2,333 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateWLWLLLWWLL

Last 10 vs previous 10: -30pp win rate · -0.07 avg rating

Player DNA

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

Aim8.6
Aggression9.9
Utility5.9
Positioning5.8
Opening Duels4.4
Clutch4.0

Sharp aimerStrong CT-side opener

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 58% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 590ms 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

Aim8.6
Positioning5.8
Utility5.9
Mechanics7.1
Opening Duels4.4
Win Impact3.9

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time594ms−7ms
first ⅓ avg 600ms → last ⅓ avg 594ms
Headshot accuracy24.7%+2.6%
first ⅓ avg 22.2% → last ⅓ avg 24.7%

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.

Highlights

0.22Best rating — vertigo 9–3
131Biggest win — anubis
6Longest win streak
1212In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 71% over 7ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB31161552%0.02
dust2A1810856%0.02
infernoB168850%0.03
nukeB115645%0.03
trainS75271%0.04
ancientD62433%0.04
anubis440100%0.04
overpass43175%0.02
vertigo220100%0.18
poseidon1010%0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,405Matches
51%Win rate
1.30Avg K/D
87.2ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage47652%1.3219.4
Dust219651%1.2418.5
Nuke14345%1.3219.9
Inferno11943%1.1817.7
Train9565%1.4220.4
Anubis9046%1.2619.0
Ancient7646%1.1117.0
Vertigo6557%1.5121.5

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.

24.0%Headshot accuracy
39.1%Accuracy (enemy spotted)
47.3%Spray accuracy
82.1%Counter-strafing
10.8°Preaim
590msReaction time
37.1%T opening success
58.1%CT opening success
0.64Enemies flashed / flash
6.2%Flash assists
9.65HE damage / grenade
9.61Flashes / 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 37.1349% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–40.0215%21 Jun
dust211–130.0110%13 Jun
anubis13–110.0022%9 Jun
inferno14–16-0.0132%28 Apr
mirage11–130.0519%25 Apr
mirage5–13-0.0132%22 Apr
dust213–100.0245%20 Apr
dust213–110.0626%20 Apr
ancient10–130.0721%19 Apr
mirage5–130.0625%19 Apr
nuke13–70.1227%18 Apr
mirage9–130.1122%18 Apr
dust23–130.0711%9 Apr
poseidon8–80.1721%8 Apr
vertigo9–30.2238%8 Apr
vertigo13–30.1328%8 Apr
dust213–100.0322%7 Apr
anubis13–80.0712%6 Apr
anubis13–1-0.030%6 Apr
anubis13–50.1028%6 Apr
mirage6–13-0.0128%31 Mar
nuke9–3-0.0243%27 Mar
dust213–50.0660%27 Mar
ancient13–50.0423%11 Mar
nuke11–130.0619%10 Mar
mirage3–13-0.0741%25 Feb
mirage9–130.0438%13 Feb
inferno13–11-0.0119%1 Feb
inferno13–11-0.0119%1 Feb
mirage5–13-0.0313%31 Jan
ancient11–13-0.0319%31 Jan
overpass9–13-0.019%26 Jan
inferno9–130.1230%19 Jan
inferno13–11-0.0327%3 Jan
dust22–13-0.0621%23 Dec
ancient9–130.0418%21 Dec
inferno13–60.0722%21 Dec
mirage0–13-0.0636%20 Dec
mirage11–130.0924%14 Dec
mirage13–9-0.0124%13 Dec
inferno8–13-0.0219%13 Dec
nuke10–13-0.048%20 Nov
inferno6–13-0.0021%8 Nov
mirage7–130.0617%19 Oct
train7–130.0921%5 Oct
mirage13–90.1226%17 Sept
mirage13–20.0241%17 Sept
inferno13–40.1616%17 Sept
mirage13–90.0615%17 Sept
mirage25–230.0521%14 Sept
train13–50.0133%14 Sept
dust211–130.0311%12 Sept
nuke16–130.0527%11 Sept
overpass13–11-0.0113%11 Sept
nuke8–13-0.0218%7 Sept
inferno6–130.0232%7 Sept
ancient13–40.0925%7 Sept
inferno13–90.0120%6 Sept
mirage13–11-0.0111%6 Sept
dust211–130.0120%6 Sept
ancient7–130.0511%6 Sept
inferno9–130.0740%6 Sept
mirage13–8-0.0133%6 Sept
dust213–100.0530%5 Sept
nuke16–140.0321%3 Sept
train13–20.0821%3 Sept
dust213–6-0.0117%31 Aug
mirage6–13-0.0313%30 Aug
inferno13–110.0324%24 Aug
nuke11–130.0015%24 Aug
mirage13–70.0122%24 Aug
dust211–12-0.0216%23 Aug
mirage13–7-0.0024%22 Aug
nuke9–130.0122%22 Aug
mirage13–90.0423%21 Aug
mirage13–100.0521%21 Aug
dust213–70.010%21 Aug
inferno8–13-0.0521%20 Aug
dust211–13-0.0127%20 Aug
dust29–13-0.0126%19 Aug
mirage8–13-0.0221%18 Aug
train13–100.0321%18 Aug
mirage13–9-0.0118%18 Aug
nuke9–130.1018%18 Aug
mirage7–13-0.0523%17 Aug
dust213–60.0729%17 Aug
overpass13–70.0734%17 Aug
mirage13–80.0424%13 Aug
mirage3–13-0.0627%13 Aug
inferno13–10.0329%13 Aug
dust213–50.0315%12 Aug
inferno9–130.0625%12 Aug
train13–40.0215%11 Aug
mirage13–80.0521%10 Aug
mirage13–110.0216%10 Aug
train14–150.0033%9 Aug
overpass13–90.0233%8 Aug
nuke16–130.0426%8 Aug
mirage13–110.0320%8 Aug
train13–50.0630%8 Aug

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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