Avila — CS2 Stats

76561197987461803[U:1:27196075]✓ No bans

1,121Tracked matches47%Win rate2020Tracked since
CSDB Rating2.7 Learning
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#11334 of 15447 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGAvilaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim15
Positioning27
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateTLLTWLWWWL

Last 10 vs previous 10: -20pp win rate · +0.04 avg rating

Player DNA

Aim1.5
Aggression3.0
Utility5.6
Positioning2.7
Opening Duels0.0

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 36% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 692ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim1.5
Positioning2.7
Utility5.6
Mechanics3.6
Opening Duels0.8
Win Impact3.9

Composite 2.7/10 (Learning), 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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time687ms+42ms
first ⅓ avg 645ms → last ⅓ avg 687ms
Headshot accuracy16.2%−0.7%
first ⅓ avg 16.9% → last ⅓ avg 16.2%

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

0.17Best rating — inferno 9–4
131Biggest win — dust2
5Longest win streak
88In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 57% over 7overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB46232350%-0.03
dust2C125742%-0.03
ancientA116555%-0.06
vertigoA74357%-0.02
overpassD62433%-0.03
anubisC52340%-0.06
nuke41325%-0.07
cache41325%-0.04
debris1010%-0.15
mirage1010%-0.01
eldorado1010%0.03
dogtown1010%-0.03
palais1010%-0.04

Across the last 100 tracked matches.

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

Skill profile

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

16.7%Headshot accuracy
22.7%Accuracy (enemy spotted)
28.1%Spray accuracy
66.3%Counter-strafing
13.5°Preaim
692msReaction time
14.4%T opening success
36.5%CT opening success
0.49Enemies flashed / flash
8.1%Flash assists
11.47HE damage / grenade
8.49Flashes / 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 13.5203° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4854 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Overpass

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.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
debris8–8-0.1513%28 Aug
inferno5–13-0.068%27 Aug
mirage6–13-0.0111%26 Aug
inferno8–8-0.0620%26 Aug
ancient13–10-0.0614%20 Aug
inferno6–90.0113%19 Aug
nuke9–7-0.0433%18 Aug
inferno9–00.1410%18 Aug
dust213–8-0.0329%16 Aug
inferno9–13-0.0221%16 Aug
anubis13–7-0.036%16 Aug
ancient11–13-0.0524%16 Aug
inferno4–9-0.057%13 Aug
eldorado4–90.0311%12 Aug
cache13–4-0.0526%10 Aug
vertigo6–5-0.318%1 Aug
ancient13–8-0.0412%1 Aug
inferno13–8-0.0820%31 Jul
ancient13–11-0.0411%31 Jul
ancient14–16-0.0614%30 Jul
dust213–9-0.0224%29 Jul
anubis5–13-0.097%26 Jul
inferno9–13-0.0414%26 Jul
cache9–130.0133%26 Jul
dust213–10.0523%26 Jul
dust214–16-0.0420%23 Jul
inferno3–13-0.0533%23 Jul
ancient0–13-0.069%20 Jul
anubis13–10-0.0217%15 Jul
inferno13–11-0.0414%15 Jul
ancient11–13-0.110%13 Jul
inferno13–8-0.048%13 Jul
dust24–13-0.0819%13 Jul
dust23–13-0.110%12 Jul
inferno6–13-0.0625%11 Jul
inferno13–11-0.0411%10 Jul
dust27–13-0.0435%8 Jul
overpass13–60.0614%8 Jul
dust27–130.019%8 Jul
cache5–13-0.0712%7 Jul
cache10–13-0.0415%7 Jul
inferno13–6-0.0219%5 Jul
dust29–13-0.0915%5 Jul
inferno6–13-0.0815%5 Jul
overpass13–11-0.0614%4 Jul
overpass8–13-0.1019%4 Jul
inferno9–20.010%2 Jul
nuke5–13-0.0211%1 Jul
inferno13–4-0.0611%1 Jul
inferno13–100.0219%29 Jun
dust213–8-0.0717%27 Jun
inferno6–13-0.1021%27 Jun
anubis10–13-0.0714%25 Jun
inferno16–130.0119%25 Jun
inferno7–13-0.0911%24 Jun
vertigo6–9-0.0514%22 Jun
vertigo3–9-0.0414%22 Jun
inferno9–40.1760%20 Jun
overpass3–13-0.050%18 Jun
inferno13–9-0.0627%18 Jun
overpass6–13-0.0713%18 Jun
inferno3–9-0.0919%17 Jun
overpass15–150.0116%17 Jun
ancient13–11-0.0419%17 Jun
dust211–130.0417%14 Jun
inferno8–8-0.0721%11 Jun
vertigo9–30.1513%26 May
inferno6–9-0.098%24 Apr
inferno2–9-0.140%21 Feb
inferno7–9-0.1413%6 Feb
inferno9–50.0122%3 Jan
inferno8–8-0.0515%17 Dec
vertigo9–3-0.0233%2 Dec
inferno9–50.0920%24 Nov
inferno7–90.0925%13 Nov
inferno9–20.140%8 Nov
vertigo9–50.1023%11 Oct
inferno1–9-0.2022%5 Oct
inferno9–7-0.0115%5 Oct
inferno9–5-0.0622%5 Oct
inferno4–9-0.1127%21 May
dogtown5–9-0.033%17 May
inferno4–9-0.1114%16 May
inferno9–40.0127%12 May
inferno4–9-0.0522%26 Apr
inferno6–9-0.0522%25 Apr
inferno9–60.1530%25 Apr
vertigo8–80.0315%9 Apr
palais8–8-0.0418%5 Apr
inferno13–9-0.038%5 Apr
ancient13–5-0.0814%5 Apr
ancient13–5-0.029%4 Apr
anubis4–13-0.0817%4 Apr
inferno13–9-0.010%4 Apr
nuke7–9-0.169%3 Apr
inferno9–40.0322%3 Apr
inferno13–100.0022%2 Apr
dust213–60.0521%2 Apr
ancient9–13-0.0633%1 Apr
nuke10–13-0.076%1 Apr

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 →