andyy

andyy — CS2 Stats

GB76561197960391553[U:1:125825]Steam profile ↗✓ No bans

655Tracked matches57%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 655
0.0ppWin rate · 56.7% → 56.7%

Rating over time

Premier CS Rating: 26,519 +1,818 7 Oct – 1 Apr · 17 days played
23,53426,519peak 26,5197 Oct1 Apr
26,519Peak Premier in tracked matches
61Days played since 2025-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGandyyFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning56
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWWLWLWLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · −27ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 452ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 540ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

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: Support — Utility contribution stands above the rest of this profile (+1 against its own average).

Aim7.0
Utility5.9
Positioning5.6
Opening Duels3.4
Clutch4.8

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.0
Positioning5.6
Utility5.9
Mechanics5.9
Opening Duels2.6
Win Impact7.2

Composite 6.0/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time533ms−13ms
first ⅓ avg 546ms → last ⅓ avg 533ms
Headshot accuracy16.6%+0.2%
first ⅓ avg 16.4% → last ⅓ avg 16.6%

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

0.09Best match rating · 13–2 · cache, 12 Jul →
35%Best headshot accuracy · 11–13 · mirage, 26 Oct →
328msFastest reaction time · 9–13 · office, 23 Jan →
13–1Biggest win · ancient, 20 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak
7–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 100% over 7trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
ancientB2613–1350%-0.01
mirageB168–850%-0.02
overpassB158–753%-0.01
infernoC125–742%-0.01
anubisS77–0100%0.02
cacheS65–183%0.02
nukeD62–433%0.02
dust2S54–180%0.00
trainD51–420%0.02
alpine—10–10%-0.06
office—10–10%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

1,320Matches
51%Win rate
0.96Avg K/D
77.5ADR
42%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient4551%1.0415.3
Dust23551%1.0415.0
Inferno3256%1.1015.8
Anubis3177%1.2015.5
Mirage2339%1.0514.8
Cache2055%1.2416.0
Nuke1233%0.9514.8
Overpass1040%0.8814.5

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.

16.9%Headshot accuracy
34.5%Accuracy (enemy spotted)
39.6%Spray accuracy
76.7%Counter-strafing
10.4°Preaim
539msReaction time
39.2%T opening success
41.4%CT opening success
0.56Enemies flashed / flash
5.1%Flash assists
8.10HE damage / grenade
12.51Flashes / 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 39.2393% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0214%11 Oct →
ancient13–90.0521%5 Sept →
cache13–70.0412%5 Sept →
inferno10–13-0.0316%4 Sept →
anubis13–110.0815%27 Aug →
mirage4–130.0324%21 Aug →
cache13–11-0.0118%16 Aug →
dust210–13-0.0213%10 Aug →
anubis13–60.0114%9 Aug →
ancient6–13-0.0218%8 Aug →
dust213–10-0.0418%8 Aug →
mirage13–80.0233%8 Aug →
cache16–130.0120%6 Aug →
anubis13–60.0014%28 Jul →
inferno8–130.0214%16 Jul →
cache13–20.0920%12 Jul →
ancient13–100.0314%10 Jul →
cache16–120.0119%10 Jul →
inferno11–13-0.0217%10 Jul →
cache11–13-0.0217%7 Jul →
mirage5–13-0.0114%4 Jul →
ancient8–13-0.0210%29 Jun →
mirage11–13-0.0612%15 Jun →
nuke7–130.0623%15 Jun →
ancient13–70.0313%15 Jun →
nuke7–13-0.0024%15 Jun →
ancient19–160.0616%16 May →
ancient19–17-0.0215%9 May →
anubis13–90.0618%4 May →
dust213–50.0213%25 Apr →
overpass11–13-0.0313%5 Apr →
ancient8–13-0.0411%5 Apr →
ancient13–20.0317%3 Apr →
overpass13–70.0322%1 Apr →
inferno13–50.0024%1 Apr →
mirage13–5-0.0214%1 Apr →
nuke13–9-0.0414%22 Mar →
overpass13–11-0.059%22 Mar →
anubis13–11-0.0521%21 Mar →
inferno13–100.0010%21 Mar →
inferno13–7-0.0413%19 Mar →
ancient13–11-0.0410%1 Mar →
overpass13–8-0.056%1 Mar →
overpass13–160.0116%8 Feb →
ancient13–8-0.0710%6 Feb →
mirage13–7-0.084%6 Feb →
mirage13–100.0116%6 Feb →
overpass10–130.0421%6 Feb →
anubis13–7-0.0217%1 Feb →
ancient11–13-0.0314%1 Feb →
ancient9–13-0.0415%29 Jan →
nuke11–130.0124%29 Jan →
overpass13–90.0523%27 Jan →
nuke13–40.0626%27 Jan →
alpine12–12-0.067%24 Jan →
office9–13-0.0114%23 Jan →
ancient10–13-0.0710%22 Jan →
anubis13–50.0612%22 Jan →
mirage8–130.0418%12 Jan →
ancient13–80.0324%6 Jan →
inferno4–13-0.0518%6 Jan →
train8–130.0720%4 Jan →
mirage13–110.0420%3 Jan →
mirage6–13-0.0815%20 Dec →
ancient11–13-0.0217%20 Dec →
train13–50.0314%7 Dec →
ancient13–9-0.0124%7 Dec →
mirage2–13-0.0311%23 Nov →
ancient14–160.0012%23 Nov →
ancient15–15-0.0114%20 Nov →
ancient13–50.019%19 Nov →
mirage9–13-0.0324%18 Nov →
train9–130.0221%18 Nov →
overpass7–130.0620%29 Oct →
mirage11–13-0.0435%26 Oct →
dust213–20.0129%26 Oct →
overpass12–16-0.0618%9 Oct →
inferno13–160.0116%8 Oct →
overpass13–10-0.0510%7 Oct →
ancient11–130.0117%7 Oct →
train7–130.0025%6 Oct →
train8–130.0118%5 Oct →
inferno5–130.039%5 Oct →
ancient11–13-0.0621%5 Oct →
overpass8–13-0.0216%5 Oct →
inferno13–10-0.0514%29 Sept →
mirage13–8-0.0214%29 Sept →
dust213–90.0521%29 Sept →
inferno13–50.0517%29 Sept →
overpass13–70.0018%29 Sept →
overpass13–8-0.018%26 Sept →
nuke15–150.0118%26 Sept →
mirage13–5-0.0511%24 Sept →
overpass10–130.0012%24 Sept →
ancient13–10-0.028%23 Sept →
overpass13–9-0.0415%23 Sept →
mirage13–9-0.0011%22 Sept →
ancient5–13-0.0118%22 Sept →
inferno11–13-0.0814%21 Sept →
ancient13–10.0120%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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