andy

andy — CS2 Stats

76561199034426455[U:1:1074160727]Steam profile ↗✓ No bans

1,046Tracked matches33%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Performance scores

Aim73
Positioning66
Utility51

0–100 skill scores via Leetify.

Recent form

COLD46–54Last 10046%Win rateLWWLLLWLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +0.1pp headshot accuracy · +15ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 489ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 480ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 472ms

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 (+0.9 against its own average).

Aim7.3
Utility5.1
Positioning6.6
Opening Duels5.8
Clutch5.4

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 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Aim7.3
Positioning6.6
Utility5.1
Mechanics5.4
Opening Duels5.1
Win Impact0.0

Composite 5.6/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time511ms−20ms
first ⅓ avg 531ms → last ⅓ avg 511ms
Headshot accuracy13.6%+3.1%
first ⅓ avg 10.5% → last ⅓ avg 13.6%

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

0.18Best match rating · 9–1 · nuke, 5 Sept →
32%Best headshot accuracy · 13–6 · ancient, 14 Mar →
398msFastest reaction time · 9–1 · nuke, 5 Sept →
13–1Biggest win · nuke, 20 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%0.03
dust2C197–1237%0.00
infernoB179–853%0.02
ancientA127–558%0.04
mirageD91–811%-0.01
cache_bC73–443%-0.02
anubisS75–271%0.03
overpassA53–260%0.02
cache—21–150%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
54%Win rate
1.24Avg K/D
84.5ADR
33%Headshot %

Clutches & streaks

47%1v1 clutch win
36%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke757%1.3514.7
Inferno650%1.0515.0
Dust2540%1.1516.6
Ancient2100%1.5818.0
Overpass20%1.0814.0
Train1100%3.0021.0
Vertigo10%0.649.0
Mirage1100%0.9415.0

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.

13.6%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.2%Spray accuracy
74.2%Counter-strafing
9.9°Preaim
501msReaction time
47.2%T opening success
53.9%CT opening success
0.55Enemies flashed / flash
3.8%Flash assists
9.36HE damage / grenade
8.82Flashes / 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. 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 13.5744% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0116%11 Sept →
inferno13–80.029%11 Sept →
nuke9–10.1820%5 Sept →
inferno9–130.0015%4 Sept →
dust21–6-0.046%4 Sept →
dust27–13-0.0713%21 Aug →
inferno13–110.0418%21 Aug →
dust28–130.0315%21 Aug →
cache5–13-0.0314%15 Aug →
dust210–13-0.0211%15 Aug →
nuke11–130.079%14 Aug →
ancient13–70.0610%14 Aug →
nuke8–130.009%14 Aug →
inferno5–130.097%14 Aug →
dust213–110.0514%11 Aug →
nuke9–130.1615%11 Aug →
ancient8–130.0613%7 Aug →
mirage7–130.0119%7 Aug →
nuke13–90.0421%12 Jun →
inferno6–13-0.1117%14 May →
nuke10–13-0.0114%13 May →
dust27–13-0.0218%13 May →
ancient13–40.1518%13 May →
cache13–90.0411%13 May →
ancient16–130.0115%8 May →
nuke8–130.0010%8 May →
dust213–110.0313%8 May →
ancient13–110.0415%17 Apr →
dust23–13-0.0115%17 Apr →
nuke10–130.0410%17 Apr →
dust21–13-0.0815%10 Apr →
inferno13–100.0211%10 Apr →
cache_b13–70.0115%10 Apr →
ancient13–110.1013%10 Apr →
anubis13–40.1113%10 Apr →
anubis3–130.0511%1 Apr →
inferno4–13-0.034%1 Apr →
nuke16–130.0210%1 Apr →
ancient4–13-0.0213%1 Apr →
cache_b16–14-0.049%20 Mar →
dust216–130.0216%20 Mar →
mirage19–220.0110%20 Mar →
nuke5–13-0.0515%20 Mar →
ancient2–130.028%20 Mar →
mirage4–13-0.074%14 Mar →
nuke13–110.0013%14 Mar →
anubis13–7-0.0611%14 Mar →
inferno13–110.049%14 Mar →
cache_b9–13-0.0519%14 Mar →
ancient13–60.0132%14 Mar →
overpass13–70.0714%7 Mar →
anubis14–160.0512%7 Mar →
mirage8–130.0111%7 Mar →
overpass9–130.0416%6 Mar →
dust216–140.006%6 Mar →
mirage14–16-0.0410%28 Feb →
dust26–130.0718%28 Feb →
dust28–13-0.027%28 Feb →
ancient10–130.039%28 Feb →
nuke16–130.0211%27 Feb →
dust213–80.0517%27 Feb →
overpass13–10-0.0017%27 Feb →
nuke4–130.0120%27 Feb →
dust26–13-0.0024%27 Feb →
mirage6–13-0.0817%25 Feb →
nuke8–13-0.0115%25 Feb →
inferno4–130.0123%25 Feb →
anubis13–20.042%20 Feb →
nuke13–10.0324%20 Feb →
cache_b10–130.0411%20 Feb →
ancient13–90.026%20 Feb →
mirage7–130.0311%19 Feb →
anubis13–100.0516%19 Feb →
inferno13–30.0511%19 Feb →
overpass13–110.0312%13 Feb →
inferno13–10-0.0027%13 Feb →
overpass9–13-0.035%13 Feb →
cache_b2–13-0.0917%13 Feb →
nuke7–130.0319%13 Feb →
mirage14–160.0317%13 Feb →
dust28–130.0312%12 Feb →
nuke5–9-0.0525%12 Feb →
inferno6–130.038%6 Feb →
dust29–13-0.0117%6 Feb →
nuke13–11-0.039%1 Feb →
nuke13–80.0925%30 Jan →
dust213–9-0.0314%30 Jan →
inferno13–90.029%30 Jan →
inferno9–13-0.0314%30 Jan →
cache_b13–100.0524%29 Jan →
inferno11–130.0412%29 Jan →
mirage13–10-0.010%24 Jan →
ancient4–13-0.040%24 Jan →
nuke13–40.030%24 Jan →
inferno16–120.080%24 Jan →
cache_b3–13-0.040%24 Jan →
dust213–50.040%23 Jan →
inferno13–8-0.010%23 Jan →
nuke13–60.030%23 Jan →
anubis13–7-0.010%23 Jan →

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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