Candy

Candy — CS2 Stats

76561199659225749[U:1:1698960021]Steam profile ↗✓ No bans

3,192Tracked matches60%Win rate2024Tracked since
4,374Hours in CS50Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating10,530Blue band · top ~52.1% of ranked players (population est.)
FaceitLevel 4 · 866 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGCandyFACEITLevel 4 · 866 ELOSTANDINGTop 81.0% of rankedPREMIER10,530 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWWWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +0.9pp headshot accuracy · +21ms reaction

Win rate down 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 643ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 632ms

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 (+2.3 against its own average).

Aim4.6
Utility5.4
Positioning6.1
Opening Duels1.4
Clutch2.2

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 67% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

CT openings. Opening success drops from 54% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.6
Positioning6.1
Utility5.4
Mechanics3.8
Opening Duels3.0
Win Impact8.3

Composite 4.9/10 (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+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time668ms+36ms
first ⅓ avg 632ms → last ⅓ avg 668ms
Headshot accuracy13.8%+1.0%
first ⅓ avg 12.8% → 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

0.10Best match rating · 13–8 · mirage, 1 Nov →
33%Best headshot accuracy · 9–13 · nuke, 4 Nov →
445msFastest reaction time · 6–13 · inferno, 2 Nov →
13–1Biggest win · nuke, 22 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 62% over 13cacheWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB1910–953%-0.01
dust2B1910–953%-0.01
infernoA169–756%0.00
ancientB158–753%-0.00
anubisB137–654%-0.01
mirageA138–562%0.00
cacheD50–50%-0.03

Across the last 100 tracked matches.

Lifetime stats

106,890Lifetime kills
0.82K/D
6,603Matches
37.8%Match win rate
40.6%Headshot %
0.0%Shot accuracy
8,815MVPs
2,458Hours (in match)
7,567Bombs planted
951Bombs defused

Most-used weapons

AK-4732,590
MP97,383
AWP4,243
MAC-104,068
AUG1,709
MP71,514

Lifetime map wins

7,998dust2
7,919inferno
5,659nuke
2,170vertigo
688train
137ar_shoots
120ar_baggage
41office

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

Faceit stats

Combat

859Matches
49%Win rate
0.85Avg K/D
72.3ADR
37%Headshot %

Clutches & streaks

31%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage19949%0.8313.5
Ancient17251%0.9114.3
Anubis14752%0.8713.6
Dust212043%0.8213.2
Inferno8547%0.8012.8
Nuke6346%0.8613.6
Overpass3563%0.9714.1
Vertigo2152%0.7011.2

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.

14.0%Headshot accuracy
39.9%Accuracy (enemy spotted)
44.6%Spray accuracy
66.9%Counter-strafing
14.5°Preaim
664msReaction time
53.7%T opening success
28.5%CT opening success
0.56Enemies flashed / flash
4.5%Flash assists
6.81HE damage / grenade
10.60Flashes / 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 14.5234° — 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 13.9834% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0326%13 Nov →
nuke13–20.0619%13 Nov →
anubis13–9-0.0514%13 Nov →
dust216–130.0421%13 Nov →
nuke13–11-0.0014%10 Nov →
inferno11–13-0.0113%10 Nov →
dust27–130.017%10 Nov →
dust28–130.008%10 Nov →
dust27–13-0.015%9 Nov →
inferno13–5-0.0010%9 Nov →
ancient13–70.0217%9 Nov →
nuke13–50.088%9 Nov →
mirage16–14-0.017%7 Nov →
cache10–13-0.0314%7 Nov →
dust213–40.0512%7 Nov →
nuke3–13-0.0711%7 Nov →
nuke13–6-0.026%6 Nov →
dust213–9-0.0115%6 Nov →
ancient13–40.0121%6 Nov →
inferno8–130.0218%5 Nov →
dust211–13-0.0211%5 Nov →
nuke13–6-0.0313%5 Nov →
ancient10–13-0.0212%5 Nov →
dust211–13-0.0217%5 Nov →
nuke13–90.0713%5 Nov →
dust213–10-0.0014%5 Nov →
nuke9–13-0.0433%4 Nov →
ancient13–60.049%4 Nov →
mirage13–110.0211%4 Nov →
inferno16–13-0.0118%4 Nov →
nuke11–13-0.0211%4 Nov →
inferno13–11-0.0115%3 Nov →
mirage7–13-0.0115%3 Nov →
mirage16–13-0.0212%3 Nov →
nuke6–13-0.072%3 Nov →
dust213–8-0.0221%3 Nov →
inferno13–50.0115%3 Nov →
inferno13–40.0310%3 Nov →
nuke7–13-0.0211%2 Nov →
dust213–7-0.0115%2 Nov →
ancient11–130.0111%2 Nov →
dust213–30.0313%2 Nov →
anubis11–130.035%2 Nov →
ancient1–13-0.0314%2 Nov →
inferno3–13-0.026%2 Nov →
ancient7–13-0.063%2 Nov →
mirage9–130.047%2 Nov →
dust29–13-0.0510%2 Nov →
mirage9–13-0.0215%2 Nov →
anubis13–6-0.007%2 Nov →
inferno6–13-0.0610%2 Nov →
anubis13–60.0314%1 Nov →
ancient13–70.0713%1 Nov →
anubis7–130.008%1 Nov →
mirage13–80.1018%1 Nov →
nuke2–13-0.0411%1 Nov →
anubis2–13-0.093%1 Nov →
anubis2–13-0.0126%1 Nov →
mirage11–13-0.0511%1 Nov →
dust213–10-0.1010%1 Nov →
ancient9–13-0.0322%1 Nov →
mirage13–10-0.0216%1 Nov →
ancient10–13-0.0612%31 Oct →
mirage10–13-0.0410%31 Oct →
dust213–90.0012%31 Oct →
nuke11–13-0.0318%31 Oct →
inferno15–150.0313%31 Oct →
anubis11–13-0.0313%30 Oct →
inferno7–13-0.0420%30 Oct →
ancient13–30.0415%27 Oct →
dust27–13-0.0814%26 Oct →
inferno4–130.0214%26 Oct →
anubis13–50.078%26 Oct →
cache6–130.0120%26 Oct →
mirage13–7-0.049%26 Oct →
inferno13–40.0610%26 Oct →
nuke8–13-0.0518%26 Oct →
ancient16–13-0.0414%26 Oct →
dust213–10-0.0318%26 Oct →
dust211–130.0513%25 Oct →
mirage16–120.0017%24 Oct →
nuke13–30.0116%24 Oct →
dust29–13-0.0016%24 Oct →
ancient13–10-0.0110%24 Oct →
anubis13–60.0417%24 Oct →
ancient16–14-0.0311%23 Oct →
cache14–16-0.0217%23 Oct →
mirage9–10.0533%23 Oct →
cache5–13-0.092%23 Oct →
inferno13–70.0215%23 Oct →
anubis3–13-0.092%23 Oct →
cache10–13-0.0111%23 Oct →
inferno13–8-0.0119%22 Oct →
anubis16–14-0.039%22 Oct →
nuke13–70.039%22 Oct →
nuke13–1-0.020%22 Oct →
inferno13–90.0112%22 Oct →
nuke13–9-0.0312%22 Oct →
anubis13–80.068%22 Oct →
ancient11–130.014%21 Oct →

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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