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Sabi♥ — CS2 Stats

76561198930859878[U:1:970594150]

3,455Tracked matches57%Win rate2021Tracked since
CSDB Rating4.7 DevelopingPassive Rifler
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim73
Positioning37
Utility15

0–100 skill scores via Leetify.

Recent form

COLD59–37–4Last 10059%Win rateWLLLLLWWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim7.3
Aggression3.0
Utility1.5
Positioning3.7
Opening Duels0.0

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.

Your pro match

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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. 557ms 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

Aim7.3
Positioning3.7
Utility1.5
Mechanics5.2
Opening Duels0.6
Win Impact7.4

Composite 4.7/10 (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-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time548ms−31ms
first ⅓ avg 579ms → last ⅓ avg 548ms
Headshot accuracy16.5%+1.5%
first ⅓ avg 15.1% → last ⅓ avg 16.5%

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

0.11Best rating — italy 13–7
13–0Biggest win — office
6Longest win streak
7–5In matches decided by ≤2 rounds

Map breakdown

shelterBest map · 73% over 45cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
shelterS4533–1273%-0.02
boulderC188–1044%-0.02
italyA148–657%-0.02
cacheD61–517%-0.05
trainC52–340%-0.04
dust2—41–325%-0.09
office—43–175%-0.02
inferno—32–167%-0.04
mirage—11–0100%-0.06

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.2%Headshot accuracy
32.6%Accuracy (enemy spotted)
42.3%Spray accuracy
73.3%Counter-strafing
8.1°Preaim
557msReaction time
22.1%T opening success
34.6%CT opening success
0.10Enemies flashed / flash
0.0%Flash assists
8.70HE damage / grenade
0.71Flashes / 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 0.0953 — 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 22.1098% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
boulder13–100.0110%29 Aug →
boulder9–130.0619%28 Aug →
boulder3–13-0.0810%28 Aug →
italy5–130.0010%28 Aug →
cache2–13-0.0716%28 Aug →
cache4–13-0.0929%28 Aug →
shelter13–11-0.075%27 Aug →
shelter13–90.0124%27 Aug →
cache4–13-0.0719%27 Aug →
cache4–13-0.019%27 Aug →
cache12–12-0.0526%27 Aug →
boulder13–9-0.026%25 Aug →
boulder11–13-0.047%25 Aug →
boulder13–9-0.0323%24 Aug →
shelter13–2-0.0330%24 Aug →
shelter13–90.0218%24 Aug →
shelter13–6-0.0218%22 Aug →
shelter13–4-0.0114%22 Aug →
shelter13–10.0816%21 Aug →
dust212–12-0.0720%21 Aug →
shelter13–11-0.0224%21 Aug →
office0–13-0.0527%21 Aug →
office13–00.0213%21 Aug →
boulder13–30.0121%21 Aug →
inferno6–13-0.0814%21 Aug →
shelter8–13-0.0223%21 Aug →
shelter13–9-0.0522%21 Aug →
shelter4–0-0.000%21 Aug →
shelter13–20.0730%21 Aug →
dust22–13-0.115%20 Aug →
italy13–6-0.0411%20 Aug →
boulder13–80.0214%20 Aug →
shelter13–9-0.0515%20 Aug →
shelter12–12-0.0917%20 Aug →
dust213–4-0.0427%18 Aug →
train13–20.024%18 Aug →
mirage13–6-0.069%18 Aug →
shelter13–11-0.052%18 Aug →
train3–13-0.129%18 Aug →
boulder1–13-0.124%18 Aug →
shelter13–30.0013%18 Aug →
shelter13–9-0.0620%18 Aug →
shelter11–13-0.0417%17 Aug →
boulder4–13-0.1015%17 Aug →
shelter3–0-0.010%16 Aug →
italy11–13-0.0611%16 Aug →
dust22–13-0.1220%16 Aug →
inferno13–0-0.0028%16 Aug →
shelter13–10.0423%15 Aug →
shelter13–20.0040%15 Aug →
inferno13–5-0.0511%15 Aug →
italy13–4-0.0216%14 Aug →
train13–40.018%14 Aug →
train2–13-0.0433%13 Aug →
shelter9–13-0.0319%13 Aug →
train3–13-0.0716%13 Aug →
cache13–110.0122%13 Aug →
shelter13–3-0.049%13 Aug →
shelter13–90.0130%13 Aug →
shelter13–100.027%13 Aug →
italy9–13-0.0111%11 Aug →
boulder13–6-0.0511%11 Aug →
shelter13–90.0120%10 Aug →
italy13–70.0816%10 Aug →
shelter13–0-0.0114%10 Aug →
italy13–80.0321%10 Aug →
boulder9–130.0217%10 Aug →
boulder13–60.0530%10 Aug →
italy13–50.0117%9 Aug →
shelter13–3-0.0117%9 Aug →
shelter10–13-0.0119%9 Aug →
boulder11–13-0.0430%9 Aug →
boulder12–12-0.0011%9 Aug →
shelter3–13-0.0910%9 Aug →
shelter10–13-0.059%9 Aug →
shelter7–130.0414%9 Aug →
shelter13–1-0.0013%8 Aug →
shelter6–2-0.0414%8 Aug →
shelter13–9-0.038%8 Aug →
boulder8–13-0.0422%7 Aug →
boulder10–13-0.0616%7 Aug →
office13–11-0.0514%7 Aug →
italy3–13-0.1024%7 Aug →
italy13–9-0.0623%7 Aug →
shelter7–13-0.099%6 Aug →
shelter9–13-0.055%6 Aug →
shelter13–4-0.0217%6 Aug →
shelter11–13-0.057%6 Aug →
italy6–13-0.0510%6 Aug →
office13–110.0116%6 Aug →
boulder9–5-0.016%6 Aug →
shelter13–7-0.0110%6 Aug →
shelter13–00.0325%4 Aug →
shelter13–3-0.0216%4 Aug →
shelter6–13-0.0021%4 Aug →
italy13–70.1120%1 Aug →
shelter13–11-0.027%27 Jul →
shelter13–8-0.0810%27 Jul →
italy13–6-0.0412%27 Jul →
italy7–13-0.0717%27 Jul →

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 →

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