Anicillia <3

Anicillia <3 — CS2 Stats

76561198394577346[U:1:434311618]Steam profile ↗✓ No bans

170Tracked matches27%Win rate2020Tracked since
888Hours in CS
CSDB Rating3.5 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim43
Positioning53
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY35–56–9Last 10035%Win rateWWLWLLLLWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −1.8pp headshot accuracy · −49ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 598ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

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 (+1.8 against its own average).

Aim4.3
Utility3.1
Positioning5.3
Opening Duels2.0

Limited utility dependence

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

jL

Plays most like jL 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.3
Positioning5.3
Utility3.1
Mechanics3.3
Opening Duels2.0
Win Impact0.0

Composite 3.5/10 (Learning), 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 rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time586ms+20ms
first ⅓ avg 565ms → last ⅓ avg 586ms
Headshot accuracy21.3%−1.1%
first ⅓ avg 22.4% → last ⅓ avg 21.3%

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

0.16Best match rating · 9–3 · inferno, 4 Mar →
67%Best headshot accuracy · 0–16 · mirage, 8 Mar →
359msFastest reaction time · 6–13 · ancient, 25 Sept →
16–4Biggest win · inferno, 1 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–5In matches decided by ≤2 rounds
57Overtime games

Map breakdown

dust2Best map · 40% over 5overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC5019–3138%0.00
infernoD3110–2132%0.00
overpassD61–517%-0.04
dust2C52–340%0.00
ancient—42–250%0.01
anubis—31–233%-0.05
nuke—10–10%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

46,595Lifetime kills
1.00K/D
2,246Matches
38.9%Match win rate
47.9%Headshot % · Top 50% of tracked players
19.6%Shot accuracy · Top 5% of tracked players
5,509MVPs
888Hours (in match)
2,543Bombs planted
426Bombs defused

Most-used weapons

AK-477,662
AWP5,515
SG 5534,213
AUG2,737
MAC-101,352
SSG 081,331

Lifetime map wins

5,580inferno
1,472lake
1,233dust2
144office
122nuke
85train
78vertigo
55cbble

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.

22.1%Headshot accuracy
28.6%Accuracy (enemy spotted)
33.2%Spray accuracy
64.8%Counter-strafing
11.9°Preaim
600msReaction time
41.9%T opening success
34.0%CT opening success
0.58Enemies flashed / flash
1.9%Flash assists
3.64HE damage / grenade
3.86Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8605 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.9914% — below the 40% mark we flag

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.

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

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0311%30 Oct →
dust213–50.0911%30 Oct →
mirage10–13-0.0312%16 Oct →
inferno13–11-0.0426%16 Oct →
dust23–13-0.0915%16 Oct →
mirage11–13-0.0317%12 Oct →
dust214–16-0.0420%12 Oct →
ancient6–130.0139%25 Sept →
mirage13–70.0629%25 Sept →
inferno13–50.0132%25 Aug →
ancient13–20.1033%25 Aug →
mirage6–13-0.1019%25 Aug →
inferno6–13-0.0521%23 Aug →
inferno7–13-0.0327%23 Aug →
mirage7–13-0.0221%23 Aug →
ancient10–13-0.0316%22 Aug →
mirage4–130.0326%22 Aug →
mirage2–13-0.0813%20 Aug →
inferno8–13-0.0633%18 Aug →
mirage5–13-0.0721%15 Aug →
mirage4–13-0.0825%15 Aug →
anubis7–13-0.0721%15 Aug →
inferno6–13-0.0338%15 Aug →
ancient13–5-0.0316%7 Aug →
mirage13–100.0322%7 Aug →
mirage1–13-0.0625%7 Aug →
mirage9–13-0.0319%28 Mar →
mirage9–13-0.0614%28 Mar →
mirage8–13-0.1018%28 Mar →
inferno7–13-0.0331%16 Aug →
inferno6–13-0.0317%16 Aug →
mirage15–150.0417%16 Aug →
overpass0–60.000%16 Aug →
inferno7–13-0.0324%29 Apr →
mirage13–40.0626%4 Sept →
dust29–130.0315%10 Jun →
mirage13–70.0427%10 Jun →
anubis13–7-0.0219%10 Jun →
mirage13–60.0725%10 Jun →
mirage13–6-0.0419%13 Mar →
mirage9–130.0722%4 Jan →
mirage9–130.0419%4 Jan →
inferno13–2-0.017%3 Jan →
mirage13–3-0.0112%3 Jan →
mirage15–15-0.0321%31 Jul →
mirage10–160.0322%31 Jul →
inferno11–160.0213%12 Jun →
mirage16–100.0218%15 Apr →
mirage11–16-0.0430%24 Mar →
mirage14–16-0.0322%11 Mar →
mirage15–150.0124%9 Mar →
overpass4–16-0.0518%8 Mar →
mirage0–160.1067%8 Mar →
overpass16–50.0220%6 Mar →
mirage1–160.0136%6 Mar →
inferno13–160.0629%5 Mar →
mirage16–11-0.0111%4 Mar →
inferno16–70.0825%4 Mar →
mirage9–16-0.038%4 Mar →
inferno9–30.1624%4 Mar →
inferno14–160.0510%3 Mar →
mirage12–160.0913%2 Mar →
mirage6–160.0729%2 Mar →
mirage16–70.0619%1 Mar →
inferno16–4-0.0214%1 Mar →
inferno3–16-0.0021%26 Feb →
overpass6–16-0.0711%26 Feb →
inferno15–150.0114%26 Feb →
mirage16–110.0322%22 Feb →
mirage16–5-0.0332%22 Feb →
mirage4–16-0.0428%21 Feb →
inferno9–16-0.0712%21 Feb →
mirage15–150.0122%20 Feb →
inferno16–110.0219%20 Feb →
mirage15–150.0513%18 Feb →
mirage16–90.0916%17 Feb →
mirage10–16-0.0317%13 Feb →
inferno14–16-0.0743%12 Feb →
anubis7–16-0.0712%11 Feb →
mirage16–12-0.0110%10 Feb →
inferno16–140.0422%8 Feb →
inferno15–15-0.0117%7 Feb →
inferno15–15-0.0419%6 Feb →
mirage16–50.0820%5 Feb →
mirage16–70.0422%5 Feb →
mirage12–16-0.0724%4 Feb →
mirage16–12-0.0337%4 Feb →
inferno16–130.1315%3 Feb →
nuke6–16-0.0515%3 Feb →
mirage16–50.0619%3 Feb →
inferno15–150.0121%2 Feb →
inferno7–160.0232%1 Feb →
inferno8–16-0.0226%1 Feb →
inferno12–160.0148%30 Jan →
overpass7–16-0.0128%30 Jan →
mirage5–160.0138%29 Jan →
mirage16–140.0112%29 Jan →
inferno11–16-0.0120%28 Jan →
overpass7–16-0.109%27 Jan →
inferno16–140.0634%27 Jan →

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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