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ru.handSOAP[aKg] — CS2 Stats

76561199283320511[U:1:1323054783]

538Tracked matches43%Win rate2026Tracked since
CSDB Rating3.1 Learning
Premier CS Rating6,073Light Blue band · top ~73.7% of ranked players (population est.)
CSDB Leaderboard#30395 of 40004 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGru.handSOAP[aKg]FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER6,073 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim23
Positioning39
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLWWWLWLLLW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim2.3
Aggression5.7
Utility5.4
Positioning3.9
Opening Duels2.0
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: opening-fight frequency, opening-duel success.

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

Reaction time. 689ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim2.3
Positioning3.9
Utility5.4
Mechanics4.2
Opening Duels2.0
Win Impact2.8

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time687ms−2ms
first ⅓ avg 689ms → last ⅓ avg 687ms
Headshot accuracy12.8%−2.6%
first ⅓ avg 15.4% → last ⅓ avg 12.8%

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

0.15Best rating — ancient 13–2
13–2Biggest win — ancient
5Longest win streak
3–5In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 54% over 13nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%-0.01
nukeD134–931%-0.03
infernoB137–654%-0.02
cacheC114–736%-0.03
ancientC104–640%-0.01
trainC104–640%-0.01
mirageC94–544%-0.01
anubis—41–325%-0.00
vertigo—31–233%-0.01
overpass—21–150%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

119Matches
41%Win rate
0.63Avg K/D
57.9ADR
36%Headshot %

Clutches & streaks

43%1v1 clutch win
6%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2642%0.6410.8
Ancient2035%0.559.1
Mirage1735%0.629.7
Dust21662%0.6410.2
Nuke1540%0.658.7
Anubis1225%0.7713.1
Cache1050%0.487.9
Vertigo333%0.8512.7

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.

12.8%Headshot accuracy
27.9%Accuracy (enemy spotted)
27.1%Spray accuracy
68.9%Counter-strafing
11.2°Preaim
689msReaction time
35.9%T opening success
39.7%CT opening success
0.60Enemies flashed / flash
2.1%Flash assists
4.86HE damage / grenade
9.79Flashes / 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 12.7609% — 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 35.8912% — below the 40% mark we flag

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.032%30 Aug →
train13–4-0.007%30 Aug →
ancient13–10-0.0410%28 Aug →
cache13–9-0.054%28 Aug →
cache3–13-0.0510%28 Aug →
mirage13–5-0.017%28 Aug →
train5–13-0.0220%28 Aug →
mirage1–13-0.094%28 Aug →
vertigo3–13-0.086%28 Aug →
dust213–3-0.0417%28 Aug →
nuke13–5-0.0114%28 Aug →
dust213–30.0613%28 Aug →
nuke3–13-0.0818%28 Aug →
ancient13–20.1513%28 Aug →
inferno13–5-0.0123%27 Aug →
inferno10–13-0.0812%27 Aug →
nuke1–13-0.0412%27 Aug →
ancient2–13-0.0520%27 Aug →
cache11–13-0.0715%27 Aug →
cache6–13-0.089%27 Aug →
dust26–13-0.0221%26 Aug →
cache13–90.0814%26 Aug →
inferno8–13-0.0611%26 Aug →
nuke4–13-0.0612%26 Aug →
inferno13–40.0917%26 Aug →
dust26–13-0.0616%26 Aug →
cache13–8-0.0514%26 Aug →
cache9–13-0.0219%26 Aug →
dust28–13-0.0410%25 Aug →
dust213–7-0.0516%25 Aug →
nuke7–13-0.0214%25 Aug →
dust213–11-0.037%25 Aug →
vertigo1–13-0.0617%25 Aug →
ancient3–9-0.0413%25 Aug →
nuke13–80.0713%23 Aug →
mirage5–130.0219%23 Aug →
dust29–30.0417%23 Aug →
dust213–9-0.0014%23 Aug →
train13–70.0225%23 Aug →
dust27–13-0.0413%23 Aug →
anubis9–13-0.0514%23 Aug →
anubis6–13-0.0212%22 Aug →
mirage4–130.0115%22 Aug →
dust213–50.0814%22 Aug →
ancient13–11-0.088%22 Aug →
inferno4–13-0.047%22 Aug →
mirage4–90.0219%22 Aug →
cache12–12-0.0316%22 Aug →
nuke13–7-0.0122%22 Aug →
dust212–12-0.0412%20 Aug →
dust213–7-0.038%20 Aug →
dust213–80.079%20 Aug →
overpass13–70.0118%20 Aug →
train13–9-0.0810%20 Aug →
inferno13–100.016%20 Aug →
inferno3–13-0.057%20 Aug →
dust213–6-0.0717%20 Aug →
dust25–13-0.069%20 Aug →
inferno10–13-0.068%20 Aug →
mirage13–5-0.049%20 Aug →
mirage13–6-0.027%20 Aug →
ancient13–30.068%16 Aug →
nuke2–9-0.0910%16 Aug →
dust213–11-0.088%16 Aug →
nuke12–12-0.0010%16 Aug →
dust24–00.0225%16 Aug →
mirage5–13-0.0017%16 Aug →
train9–13-0.019%16 Aug →
dust213–30.0827%16 Aug →
inferno13–7-0.075%16 Aug →
ancient5–13-0.0117%16 Aug →
overpass12–12-0.036%16 Aug →
train10–130.0020%16 Aug →
nuke13–10-0.0116%16 Aug →
anubis11–13-0.0211%16 Aug →
vertigo13–20.1021%16 Aug →
inferno13–70.0016%15 Aug →
mirage13–30.0216%15 Aug →
dust28–13-0.0524%15 Aug →
cache5–13-0.0321%15 Aug →
train12–12-0.0221%13 Aug →
nuke3–13-0.0518%13 Aug →
train11–13-0.0113%13 Aug →
anubis13–50.0918%13 Aug →
cache13–8-0.0223%13 Aug →
dust26–13-0.027%13 Aug →
train9–13-0.0620%13 Aug →
train13–100.0416%13 Aug →
nuke9–13-0.0716%12 Aug →
ancient8–13-0.0623%11 Aug →
cache3–13-0.0315%10 Aug →
dust24–130.0419%10 Aug →
nuke9–13-0.048%9 Aug →
ancient10–13-0.048%8 Aug →
dust23–13-0.0712%8 Aug →
dust211–130.0115%7 Aug →
inferno6–13-0.0513%7 Aug →
inferno13–5-0.0217%7 Aug →
inferno13–70.0610%7 Aug →
dust212–12-0.047%7 Aug →

Match data via Leetify.

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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