sisi ♡

sisi ♡ — CS2 Stats

AQ76561199040605290[U:1:1080339562]Steam profile ↗✓ No bans

720Tracked matches41%Win rate2023Tracked since
674Hours in CS
CSDB Rating3.8 Learning
Premier CS Rating13,648Blue band · top ~35.6% of ranked players (population est.)
CSDB Leaderboard#24539 of 37483 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate50.2%41.4%44.2%above
Shot accuracy0.0%9.0%11.6%11.6% short
Kill/death ratio0.790.971.030.24 short
Match win rate44.5%43.7%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGsisi ♡PREMIER13,648 · Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning34
Utility45

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateTLLWLWLLLT

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim5.1
Aggression2.5
Utility4.5
Positioning3.4
Opening Duels0.0

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 70% 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 40% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 656ms 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

Aim5.1
Positioning3.4
Utility4.5
Mechanics5.7
Opening Duels1.2
Win Impact1.9

Composite 3.8/10 (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+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time670ms+13ms
first ⅓ avg 657ms → last ⅓ avg 670ms
Headshot accuracy19.6%+0.0%
first ⅓ avg 19.6% → last ⅓ avg 19.6%

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

0.11Best rating — cache 13–3
133Biggest win — cache
5Longest win streak
88In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 57% over 30overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A30171357%-0.02
ancientC23101343%-0.03
mirageB21111052%-0.02
infernoC83538%-0.06
overpassD61517%-0.04
cacheD51420%-0.01
vertigo31233%-0.05
anubis21150%-0.05
office1010%-0.08
train1010%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,463Lifetime kills
0.79K/D
1,706Matches
44.5%Match win rate · Top 50% of Blue band
50.2%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
4,170MVPs
674Hours (in match)
1,806Bombs planted
192Bombs defused

Most-used weapons

Lifetime map wins

3,513inferno
1,850dust2
1,598vertigo
382nuke
51office
27train
6ar_baggage
5ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

19.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
30.8%Spray accuracy
75.7%Counter-strafing
10.6°Preaim
656msReaction time
16.4%T opening success
39.8%CT opening success
0.54Enemies flashed / flash
5.8%Flash assists
5.71HE damage / grenade
4.35Flashes / 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 16.3717% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient15–15-0.048%3 Aug
mirage1–13-0.0629%3 Aug
cache11–13-0.0516%2 Aug
cache13–30.1118%2 Aug
cache14–160.0038%30 Jul
dust213–6-0.0015%28 Jul
mirage9–13-0.0121%28 Jul
dust212–16-0.0410%27 Jul
cache11–13-0.0633%26 Jul
ancient15–150.0410%26 Jul
ancient13–6-0.0218%26 Jul
office4–13-0.0818%18 Jul
dust210–130.029%18 Jul
ancient13–110.0215%16 Jul
mirage13–10-0.0727%16 Jul
dust213–10-0.0024%16 Jul
dust26–13-0.0315%15 Jul
ancient9–13-0.0423%15 Jul
inferno8–13-0.0532%15 Jul
ancient13–4-0.0437%13 Jul
dust26–13-0.0415%13 Jul
mirage13–9-0.0324%13 Jul
dust213–6-0.0522%12 Jul
dust213–90.0126%12 Jul
ancient8–13-0.0713%12 Jul
ancient5–13-0.049%1 Jul
dust29–13-0.0624%1 Jul
mirage12–12-0.0611%26 Jun
dust23–13-0.0516%26 Jun
dust213–9-0.0520%24 Jun
dust213–8-0.0122%24 Jun
dust213–10-0.0313%15 Jun
ancient3–13-0.0118%15 Jun
mirage13–7-0.0121%8 Jun
mirage13–100.0822%8 Jun
mirage4–13-0.0517%6 Jun
dust213–9-0.0123%6 Jun
ancient16–14-0.0413%27 May
dust213–100.0012%27 May
ancient5–13-0.0920%24 May
dust213–11-0.0219%24 May
mirage9–130.0118%23 May
mirage13–8-0.0316%23 May
overpass10–13-0.0512%22 May
mirage10–130.0119%22 May
dust213–8-0.0517%21 May
dust28–13-0.0311%19 May
dust213–50.0218%19 May
mirage13–6-0.083%19 May
overpass11–13-0.0713%18 May
ancient13–11-0.0720%18 May
anubis10–13-0.0912%17 May
dust213–30.077%17 May
mirage13–16-0.0514%17 May
mirage11–130.0024%17 May
ancient13–100.0019%15 May
mirage13–11-0.0213%15 May
dust26–13-0.0716%15 May
ancient13–3-0.014%12 May
dust21–13-0.0413%12 May
dust213–8-0.0422%12 May
ancient10–13-0.0420%12 May
overpass14–16-0.0320%6 May
ancient13–70.0418%6 May
ancient5–13-0.0527%4 May
cache5–13-0.0426%1 May
ancient15–15-0.0211%1 May
ancient13–5-0.0222%1 May
dust213–8-0.0416%27 Apr
mirage11–30.0044%27 Apr
dust213–80.027%27 Apr
overpass16–13-0.0318%26 Apr
overpass5–13-0.0520%26 Apr
mirage13–11-0.0414%26 Apr
ancient1–13-0.0910%23 Apr
mirage8–13-0.0312%23 Apr
dust211–13-0.0324%23 Apr
mirage12–120.0118%20 Apr
dust213–7-0.0318%20 Apr
ancient6–13-0.0819%18 Apr
dust210–13-0.0614%17 Apr
inferno3–9-0.1922%17 Apr
ancient10–13-0.0322%16 Apr
ancient13–40.0027%16 Apr
inferno9–7-0.0514%16 Apr
overpass10–13-0.0225%15 Apr
dust27–13-0.0517%15 Apr
anubis13–7-0.0231%6 Apr
mirage13–9-0.0010%6 Apr
train1–13-0.0321%6 Apr
vertigo4–9-0.1222%2 Apr
inferno9–40.1137%2 Apr
dust211–13-0.0112%1 Apr
mirage7–2-0.040%1 Apr
inferno9–70.0025%1 Apr
vertigo5–9-0.1315%1 Apr
inferno8–8-0.1235%1 Apr
inferno4–9-0.089%31 Mar
vertigo9–30.1025%31 Mar
inferno2–9-0.1325%31 Mar

Match data via Leetify.

Recent teammates

Milestones

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