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aroe114 — CS2 Stats

76561199011470477[U:1:1051204749]

434Tracked matches57%Win rate2021Tracked since
CSDB Rating5.6 SolidPassive Rifler
Ladder ranks via Leetify

Performance scores

Aim74
Positioning38
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateWWWWTLLLWW

Last 10 vs previous 10: +10pp win rate · -0.05 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.4
Aggression2.8
Utility4.0
Positioning3.8
Opening Duels0.0
Clutch0.8

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.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower 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

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 612ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.4
Positioning3.8
Utility4.0
Mechanics8.0
Opening Duels0.3
Win Impact7.4

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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time617ms+9ms
first ⅓ avg 608ms → last ⅓ avg 617ms
Headshot accuracy11.6%−1.4%
first ⅓ avg 13.1% → last ⅓ avg 11.6%

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.

Highlights

0.10Best rating — anubis 13–6
13–1Biggest win — ancient
4Longest win streak
W4Current streak
6–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 71% over 7infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%-0.02
infernoD186–1233%-0.05
ancientS1510–567%-0.02
dust2B147–750%-0.03
nukeB105–550%-0.04
cacheS75–271%-0.02
anubisA74–357%-0.02
overpass—22–0100%-0.01
shelter—11–0100%-0.10
train—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches
48%Win rate
0.63Avg K/D
46.6ADR
31%Headshot %

Clutches & streaks

24%1v1 clutch win
6%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage944%0.598.2
Inferno850%0.588.5
Ancient560%0.7111.2
Nuke475%0.608.8
Cache367%1.0710.7
Overpass20%0.487.0
Anubis20%0.396.5

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.

12.0%Headshot accuracy
40.9%Accuracy (enemy spotted)
43.7%Spray accuracy
85.9%Counter-strafing
11.2°Preaim
612msReaction time
25.6%T opening success
32.2%CT opening success
0.59Enemies flashed / flash
4.1%Flash assists
11.21HE damage / grenade
4.99Flashes / 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 12.0179% — below the 15% mark we flag

    Aim Training →
  2. 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 25.5975% — below the 40% mark we flag

Spend your practice time on Inferno

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 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.019%27 Aug →
inferno13–11-0.056%27 Aug →
nuke13–8-0.076%26 Aug →
cache13–50.060%26 Aug →
dust212–12-0.0213%21 Aug →
inferno6–13-0.0619%20 Aug →
anubis3–13-0.073%20 Aug →
inferno7–13-0.107%19 Aug →
dust213–5-0.0420%19 Aug →
anubis13–11-0.0625%17 Aug →
mirage13–40.0810%14 Aug →
inferno7–13-0.077%14 Aug →
dust29–13-0.0225%14 Aug →
mirage13–7-0.0514%13 Aug →
ancient13–110.0217%11 Aug →
mirage13–70.0220%7 Aug →
ancient10–13-0.015%4 Aug →
anubis13–60.104%3 Aug →
inferno11–13-0.0411%3 Aug →
mirage12–12-0.0018%31 Jul →
mirage13–100.0210%31 Jul →
cache14–16-0.069%30 Jul →
inferno10–13-0.077%29 Jul →
ancient6–13-0.0510%29 Jul →
ancient13–1-0.060%28 Jul →
nuke13–40.0214%28 Jul →
dust27–13-0.0516%28 Jul →
mirage11–130.0114%28 Jul →
mirage13–80.0514%27 Jul →
inferno13–6-0.0412%23 Jul →
nuke9–13-0.039%23 Jul →
dust213–7-0.0419%22 Jul →
anubis13–40.0512%22 Jul →
mirage8–13-0.038%22 Jul →
mirage8–13-0.0916%21 Jul →
ancient13–5-0.037%16 Jul →
mirage3–13-0.077%16 Jul →
shelter13–10-0.105%9 Jul →
mirage13–4-0.067%9 Jul →
anubis13–7-0.027%9 Jul →
nuke3–13-0.0611%9 Jul →
ancient13–90.0218%9 Jul →
dust28–13-0.1025%9 Jul →
mirage13–11-0.0510%8 Jul →
inferno3–13-0.0917%8 Jul →
cache1–4-0.098%8 Jul →
ancient13–9-0.006%5 Jul →
mirage13–10-0.079%5 Jul →
mirage3–13-0.0711%2 Jul →
nuke8–13-0.0210%2 Jul →
ancient13–10-0.039%30 Jun →
dust213–7-0.0513%27 Jun →
mirage13–7-0.040%23 Jun →
anubis7–13-0.118%23 Jun →
mirage13–30.0224%20 Jun →
inferno3–13-0.069%31 May →
dust27–13-0.0214%31 May →
dust213–5-0.0517%31 May →
ancient5–13-0.038%31 May →
inferno16–12-0.0513%31 May →
inferno9–13-0.0616%31 May →
overpass13–9-0.0112%23 May →
ancient13–40.005%23 May →
mirage13–30.0119%23 May →
mirage11–13-0.074%21 May →
inferno11–13-0.029%21 May →
nuke13–4-0.0312%21 May →
inferno8–13-0.0312%20 May →
ancient7–130.0319%20 May →
inferno5–13-0.0511%20 May →
dust213–9-0.052%19 May →
cache13–20.0136%19 May →
train0–13-0.0431%19 May →
inferno13–5-0.103%19 May →
ancient13–7-0.025%19 May →
dust213–7-0.0112%15 May →
inferno13–4-0.0115%14 May →
dust212–12-0.019%14 May →
cache13–6-0.0119%7 May →
cache13–4-0.0217%6 May →
ancient15–15-0.0415%28 Apr →
ancient13–9-0.097%24 Apr →
mirage14–16-0.0012%23 Apr →
anubis13–160.005%23 Apr →
nuke14–16-0.0417%23 Apr →
ancient13–7-0.037%22 Apr →
mirage16–13-0.0018%22 Apr →
nuke13–6-0.0312%22 Apr →
dust210–130.0113%22 Apr →
mirage9–13-0.058%21 Apr →
nuke7–13-0.067%21 Apr →
inferno13–10.0316%21 Apr →
overpass13–11-0.0113%21 Apr →
mirage13–7-0.0313%21 Apr →
inferno2–13-0.0519%21 Apr →
mirage13–30.0818%17 Apr →
dust213–80.0616%16 Apr →
mirage14–16-0.069%16 Apr →
nuke13–2-0.053%16 Apr →
mirage2–13-0.0613%16 Apr →

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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