Aleksi22 — CS2 Stats

76561198392449748[U:1:432184020]

3,793Tracked matches28%Win rate2020Tracked since
CSDB Rating4.1 Developing
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#12684 of 19821 tracked
FaceitLevel 6 · 1,339 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAleksi22FACEITLevel 6 · 1,339 ELOSTANDINGTop 54.0% of rankedPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim57
Positioning36
Utility62

0–100 skill scores via Leetify.

Recent form

COLD52462Last 10052%Win rateLLWLLLLLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim5.7
Aggression1.6
Utility6.2
Positioning3.6
Opening Duels0.0
Clutch4.6

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms 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

Aim5.7
Positioning3.6
Utility6.2
Mechanics4.8
Opening Duels0.6
Win Impact0.0

Composite 4.1/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time657ms−27ms
first ⅓ avg 684ms → last ⅓ avg 657ms
Headshot accuracy15.3%−0.5%
first ⅓ avg 15.8% → last ⅓ avg 15.3%

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.

Highlights

0.09Best rating — ancient 13–1
131Biggest win — ancient
6Longest win streak
L2Current streak
312In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheA2213959%-0.03
nukeB22111150%-0.00
ancientA148657%0.00
mirageC146843%-0.04
infernoD82625%-0.02
trainA74357%-0.03
anubisS76186%0.01
vertigo32167%-0.03
overpass1010%-0.05
office1010%-0.04
dust21010%0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

154Matches
54%Win rate
0.87Avg K/D
69.1ADR
39%Headshot %

Clutches & streaks

43%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke2365%0.9614.6
Ancient2050%0.7213.6
Vertigo1567%0.8913.4
Mirage1258%0.6411.4
Anubis1164%0.9913.8
Train367%0.7915.3
Overpass10%0.7613.0
Inferno10%0.539.0

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.

16.4%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.7%Spray accuracy
71.5%Counter-strafing
10.0°Preaim
663msReaction time
19.3%T opening success
34.8%CT opening success
0.67Enemies flashed / flash
7.1%Flash assists
9.25HE damage / grenade
9.53Flashes / 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

    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 19.2741% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–13-0.113%26 Aug
ancient11–13-0.0210%26 Aug
nuke16–130.0316%25 Aug
ancient10–13-0.0419%25 Aug
cache3–13-0.084%25 Aug
train11–13-0.0446%25 Aug
mirage8–130.0312%23 Aug
mirage0–2-0.100%23 Aug
anubis9–130.0211%23 Aug
ancient9–13-0.0412%23 Aug
nuke6–13-0.0615%23 Aug
mirage13–160.0225%23 Aug
nuke13–80.0314%23 Aug
nuke13–110.0222%23 Aug
cache8–130.016%23 Aug
overpass6–12-0.0514%20 Aug
train13–9-0.0217%20 Aug
inferno4–9-0.0119%19 Aug
nuke5–13-0.0126%19 Aug
cache9–130.0213%18 Aug
mirage13–9-0.068%18 Aug
nuke13–8-0.0211%18 Aug
nuke9–130.0210%17 Aug
cache11–13-0.0015%17 Aug
nuke13–6-0.0314%17 Aug
cache2–13-0.086%17 Aug
nuke10–13-0.0715%17 Aug
vertigo13–11-0.0417%17 Aug
train12–12-0.0327%17 Aug
office10–13-0.0435%16 Aug
train11–13-0.0719%16 Aug
cache13–4-0.074%16 Aug
nuke9–13-0.0622%16 Aug
nuke13–6-0.027%14 Aug
mirage6–130.0013%14 Aug
nuke5–13-0.090%14 Aug
vertigo13–7-0.0713%14 Aug
vertigo1–60.0238%14 Aug
train13–8-0.0436%14 Aug
cache13–50.0215%14 Aug
ancient13–8-0.0214%14 Aug
cache13–6-0.0521%14 Aug
mirage13–20.0113%14 Aug
anubis13–4-0.013%14 Aug
cache11–13-0.0517%13 Aug
inferno13–90.0136%13 Aug
nuke13–60.0823%13 Aug
ancient13–6-0.0119%13 Aug
inferno8–13-0.019%13 Aug
ancient13–10.0914%13 Aug
cache13–8-0.038%13 Aug
anubis13–8-0.0017%13 Aug
nuke10–130.0114%13 Aug
mirage13–5-0.0023%13 Aug
inferno4–13-0.105%13 Aug
ancient10–13-0.0311%13 Aug
ancient13–60.0924%13 Aug
anubis13–100.0229%12 Aug
cache16–13-0.0415%12 Aug
cache16–13-0.0213%12 Aug
nuke13–3-0.0410%12 Aug
mirage5–13-0.0321%12 Aug
ancient13–70.0223%12 Aug
nuke13–20.0824%12 Aug
nuke11–13-0.0410%12 Aug
nuke6–130.0411%12 Aug
inferno13–60.0721%12 Aug
ancient13–5-0.0112%12 Aug
mirage4–13-0.0718%11 Aug
mirage2–13-0.1333%11 Aug
nuke13–40.0213%11 Aug
cache13–8-0.0130%11 Aug
anubis13–40.0527%11 Aug
cache2–3-0.020%11 Aug
train13–6-0.0423%11 Aug
mirage13–10-0.069%11 Aug
cache11–13-0.0618%11 Aug
ancient13–50.0820%11 Aug
dust213–160.0018%11 Aug
train13–60.0526%11 Aug
cache13–7-0.0712%10 Aug
inferno8–13-0.0814%10 Aug
ancient15–15-0.0617%10 Aug
cache13–2-0.0220%10 Aug
cache13–40.0311%10 Aug
anubis13–11-0.0213%10 Aug
cache13–6-0.0132%10 Aug
mirage14–160.0014%10 Aug
inferno12–16-0.089%10 Aug
nuke13–60.0411%10 Aug
ancient10–13-0.0114%10 Aug
nuke11–13-0.0317%10 Aug
mirage13–7-0.056%10 Aug
anubis13–30.0119%10 Aug
nuke13–16-0.009%9 Aug
inferno11–130.0315%9 Aug
ancient13–30.0016%9 Aug
cache13–10-0.0011%9 Aug
mirage13–7-0.069%9 Aug
cache13–7-0.009%9 Aug

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 →