Apfelschorle — CS2 Stats

76561197960291290[U:1:25562]

351Tracked matches33%Win rate2020Tracked since
CSDB Rating3.5 Learning
Premier CS Rating13,608Blue band · top ~35.8% of ranked players (population est.)
CSDB Leaderboard#10104 of 14847 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGApfelschorleFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,608 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning37
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY37576Last 10037%Win rateLLLTLWWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim4.8
Aggression2.2
Utility3.6
Positioning3.7
Opening Duels0.0
Clutch0.0

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 72% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 35% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim4.8
Positioning3.7
Utility3.6
Mechanics5.9
Opening Duels0.6
Win Impact0.0

Composite 3.5/10 (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-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time649ms−36ms
first ⅓ avg 685ms → last ⅓ avg 649ms
Headshot accuracy18.0%+1.1%
first ⅓ avg 16.9% → last ⅓ avg 18.0%

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

0.09Best rating — inferno 16–14
131Biggest win — cache
4Longest win streak
L3Current streak
610In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 44% over 9anubisWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2491538%-0.03
ancientD2171433%-0.03
infernoC2071335%-0.04
cacheC94544%-0.03
mirageC94544%-0.01
anubisD82625%-0.04
overpassD62433%-0.03
nuke1010%0.04
office110100%0.06
vertigo110100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

22Matches
50%Win rate
0.89Avg K/D
52.8ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.467.0
Ancient1100%0.9212.0

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.

17.4%Headshot accuracy
28.4%Accuracy (enemy spotted)
27.3%Spray accuracy
76.8%Counter-strafing
8.6°Preaim
644msReaction time
14.9%T opening success
34.7%CT opening success
0.50Enemies flashed / flash
1.2%Flash assists
9.04HE damage / grenade
1.51Flashes / 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. 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 0.4988 — below the 0.5 mark we flag

    Grenade Lineups
  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 14.892% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.049%27 Aug
ancient14–16-0.0311%27 Aug
inferno10–13-0.0322%27 Aug
ancient15–15-0.0620%26 Aug
ancient7–13-0.057%26 Aug
cache13–10.0817%26 Aug
ancient13–10-0.0517%26 Aug
cache13–2-0.067%25 Aug
dust213–10.0422%25 Aug
cache10–13-0.0110%25 Aug
cache15–15-0.0612%25 Aug
inferno10–13-0.0120%24 Aug
anubis13–60.0121%24 Aug
dust23–13-0.0824%24 Aug
mirage11–130.0520%23 Aug
dust28–13-0.0240%23 Aug
cache15–15-0.0515%23 Aug
dust210–130.0214%23 Aug
inferno13–16-0.0529%22 Aug
ancient13–10.0014%22 Aug
dust213–10-0.0118%22 Aug
ancient9–13-0.0310%21 Aug
ancient10–13-0.0114%21 Aug
dust213–7-0.0130%21 Aug
cache11–13-0.0730%19 Aug
inferno3–13-0.1115%19 Aug
mirage11–13-0.125%19 Aug
mirage13–40.0013%19 Aug
inferno5–13-0.0922%19 Aug
ancient11–13-0.0413%17 Aug
dust213–80.0135%15 Aug
inferno13–8-0.0626%15 Aug
inferno7–130.0210%7 Aug
dust212–120.0129%7 Aug
cache13–90.0215%21 Jul
anubis11–13-0.0113%3 Jun
overpass10–13-0.0214%31 May
ancient4–13-0.0511%29 May
anubis4–130.0523%29 May
mirage10–130.0113%25 May
nuke8–130.0417%22 May
mirage13–110.0314%22 May
overpass13–60.0620%20 May
inferno16–140.0922%20 May
cache2–13-0.0619%19 May
office13–100.0612%19 May
mirage11–13-0.026%18 May
inferno6–13-0.1013%18 May
ancient13–20.0817%16 May
cache13–11-0.0616%14 May
anubis3–13-0.0415%14 Apr
dust23–13-0.0512%16 Mar
ancient13–7-0.065%15 Mar
anubis16–13-0.074%13 Mar
ancient13–90.029%13 Mar
overpass1–13-0.063%13 Mar
dust24–13-0.0329%11 Mar
inferno10–13-0.0113%10 Mar
inferno13–6-0.0129%10 Mar
dust25–13-0.0413%7 Mar
inferno6–13-0.0833%7 Mar
inferno16–13-0.0325%5 Mar
ancient13–6-0.0124%5 Mar
ancient10–13-0.0518%5 Mar
dust215–15-0.029%4 Mar
overpass13–11-0.0020%16 Feb
dust26–13-0.0430%16 Feb
vertigo13–110.0222%16 Feb
inferno1–13-0.127%16 Feb
ancient3–13-0.025%10 Feb
anubis9–13-0.0711%10 Feb
inferno13–50.0726%9 Feb
ancient4–13-0.0725%9 Feb
dust213–70.0013%9 Feb
dust27–13-0.1022%9 Feb
dust213–9-0.0316%9 Feb
dust26–13-0.087%7 Feb
anubis1–13-0.139%7 Feb
mirage13–20.0140%7 Feb
ancient13–2-0.0418%7 Feb
overpass3–13-0.0714%7 Feb
dust29–13-0.0517%7 Feb
ancient8–13-0.0521%7 Feb
anubis7–13-0.045%6 Feb
inferno13–5-0.046%6 Feb
ancient7–13-0.0822%6 Feb
dust216–12-0.0221%5 Feb
mirage15–15-0.0631%5 Feb
inferno14–16-0.088%5 Feb
ancient7–13-0.0620%5 Feb
dust29–13-0.109%5 Feb
inferno10–13-0.0720%31 Jan
dust211–13-0.068%31 Jan
overpass8–13-0.0711%18 Jan
dust213–8-0.0525%18 Jan
inferno4–13-0.0425%17 Jan
dust213–11-0.0532%17 Jan
ancient14–16-0.0318%17 Jan
mirage13–100.024%15 Jan
inferno13–90.0220%28 Dec

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 →