kandyflip

kandyflip — CS2 Stats

NZ76561197962960724[U:1:2694996]Steam profile ↗✓ No bans

486Tracked matches54%Win rate2020Tracked since
2,555Hours in CS43Hrs last 2 wks
CSDB Rating7.3 StrongAll-Rounder
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+43Tracked matches · now 486
+3.6ppWin rate · 50.0% → 53.6%

Rating over time

32Days played since 2026-08-10

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim87
Positioning69
Utility64

0–100 skill scores via Leetify.

Recent form

COLD49–42–9Last 10049%Win rateLWLLWLWTLT

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · +45ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 510ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 513ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 491ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.7
Utility6.4
Positioning6.9
Opening Duels6.2

Sharp aimerEffective flashes

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 64% T opening-duel success — entries that actually open the round.

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

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

Aim8.7
Positioning6.9
Utility6.4
Mechanics6.2
Opening Duels8.2
Win Impact6.2

Composite 7.3/10 (Strong), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time483ms−43ms
first ⅓ avg 526ms → last ⅓ avg 483ms
Headshot accuracy14.7%−0.6%
first ⅓ avg 15.3% → last ⅓ avg 14.7%

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

0.26Best match rating · 9–2 · inferno, 6 Sept →
34%Best headshot accuracy · 13–7 · mirage, 7 Oct →
313msFastest reaction time · 2–13 · anubis, 22 Sept →
13–1Biggest win · inferno, 28 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–10In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 67% over 6anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3517–1849%0.01
nukeA116–555%0.02
mirageC104–640%0.01
dust2A106–460%0.01
cacheB84–450%0.03
anubisD61–517%-0.02
trainS64–267%0.05
ancientB63–350%-0.01
vertigo—32–167%0.02
rush_001—21–150%-0.00
office—21–150%0.00
overpass—10–10%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,897Lifetime kills
1.32K/D · Top 10% of tracked players
6,997Matches
48.3%Match win rate · Top 25% of tracked players
41.1%Headshot %
12.2%Shot accuracy · Top 50% of tracked players
13,317MVPs
1,843Hours (in match)
2,373Bombs planted
1,078Bombs defused

Most-used weapons

AK-4741,563
AWP16,717
FAMAS1,472
SSG 081,437
SG 5531,291

Lifetime map wins

10,015dust2
6,460inferno
3,916nuke
2,719train
2,218vertigo
71office
54safehouse
47cbble

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

Skill profile

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

15.7%Headshot accuracy
39.4%Accuracy (enemy spotted)
44.0%Spray accuracy
78.1%Counter-strafing
7.9°Preaim
491msReaction time
64.2%T opening success
61.6%CT opening success
0.81Enemies flashed / flash
7.3%Flash assists
14.62HE damage / grenade
8.07Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0328%28 Oct →
inferno13–110.0712%27 Oct →
anubis1–13-0.084%27 Oct →
nuke6–13-0.059%27 Oct →
mirage13–9-0.0415%26 Oct →
rush_0017–80.065%22 Oct →
train13–90.0724%19 Oct →
inferno12–120.0315%19 Oct →
ancient1–13-0.069%19 Oct →
mirage15–150.0314%19 Oct →
dust27–130.0115%19 Oct →
rush_0018–5-0.060%14 Oct →
inferno6–130.0211%13 Oct →
mirage13–80.1114%13 Oct →
dust211–130.0216%11 Oct →
anubis13–40.058%11 Oct →
cache5–13-0.0522%11 Oct →
train2–13-0.0124%11 Oct →
cache13–40.0424%11 Oct →
train10–00.0010%11 Oct →
inferno5–13-0.0515%8 Oct →
nuke13–110.0412%7 Oct →
mirage13–7-0.0034%7 Oct →
inferno13–8-0.0315%7 Oct →
inferno13–10.047%28 Sept →
nuke11–130.0211%28 Sept →
train4–130.0224%28 Sept →
inferno13–100.0713%28 Sept →
nuke13–30.0111%28 Sept →
inferno13–20.1216%28 Sept →
inferno11–13-0.0516%25 Sept →
dust213–6-0.0316%25 Sept →
office13–80.0418%25 Sept →
anubis2–130.0017%22 Sept →
vertigo7–13-0.0523%22 Sept →
cache12–120.0514%22 Sept →
inferno11–8-0.0211%22 Sept →
ancient13–70.006%22 Sept →
dust213–110.0219%21 Sept →
mirage12–160.0710%21 Sept →
inferno7–9-0.1122%17 Sept →
mirage5–13-0.079%17 Sept →
dust213–50.0216%17 Sept →
nuke13–90.0514%8 Sept →
inferno13–80.0414%8 Sept →
ancient13–40.0412%8 Sept →
mirage11–130.0627%8 Sept →
vertigo9–20.1123%7 Sept →
cache13–1-0.0020%7 Sept →
office6–13-0.0417%7 Sept →
ancient12–12-0.0215%7 Sept →
nuke7–9-0.0721%6 Sept →
inferno8–8-0.0720%6 Sept →
inferno9–20.2628%6 Sept →
inferno9–60.005%6 Sept →
inferno3–13-0.1119%4 Sept →
dust29–130.0413%4 Sept →
inferno11–130.0218%3 Sept →
inferno7–130.0112%3 Sept →
mirage9–130.0119%3 Sept →
dust213–6-0.0113%3 Sept →
inferno13–6-0.0011%3 Sept →
ancient3–13-0.0617%3 Sept →
cache9–13-0.0715%2 Sept →
anubis10–13-0.0422%2 Sept →
vertigo13–4-0.0116%2 Sept →
cache9–130.0114%2 Sept →
train13–100.0215%31 Aug →
dust213–80.0115%31 Aug →
inferno13–70.0012%28 Aug →
nuke13–60.0920%28 Aug →
cache13–100.0822%28 Aug →
dust211–13-0.0010%27 Aug →
inferno8–13-0.0311%27 Aug →
inferno12–12-0.0322%26 Aug →
mirage13–100.028%26 Aug →
nuke6–13-0.0526%26 Aug →
anubis9–13-0.0112%26 Aug →
ancient13–70.005%26 Aug →
inferno12–12-0.0016%26 Aug →
inferno7–13-0.0912%25 Aug →
mirage11–13-0.0629%24 Aug →
nuke8–130.026%24 Aug →
inferno0–13-0.0314%24 Aug →
dust213–70.0215%24 Aug →
inferno13–20.1026%18 Aug →
nuke13–90.1116%17 Aug →
train13–10.1710%17 Aug →
inferno13–50.1425%17 Aug →
inferno5–9-0.1214%16 Aug →
inferno9–70.0820%16 Aug →
inferno9–40.0419%16 Aug →
inferno9–5-0.0418%16 Aug →
inferno7–13-0.0213%12 Aug →
overpass12–12-0.0415%10 Aug →
inferno9–20.008%10 Aug →
nuke13–40.0920%10 Aug →
inferno7–130.1310%10 Aug →
inferno12–120.0313%10 Aug →
cache13–20.2010%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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