StickyRice — CS2 Stats

76561198048738399[U:1:88472671]

872Tracked matches55%Win rate2020Tracked since
1,101Hours in CS
CSDB Rating5.5 Solid
Premier CS Rating20,974Top 50% of 17,162 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#12522 of 36317 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate48.0%47.2%49.9%2.0% short
Shot accuracy13.9%12.7%13.4%above
Kill/death ratio0.981.091.120.14 short
Match win rate47.4%46.6%48.4%1.1% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGStickyRicePREMIER20,974 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning42
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWLLWWLLLWW

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

Player DNA

Aim5.4
Aggression4.3
Utility5.7
Positioning4.2
Opening Duels1.6

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 85% playstyle similarity

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

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

T-side openings. Opening success drops from 50% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms 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

Aim5.4
Positioning4.2
Utility5.7
Mechanics7.6
Opening Duels2.5
Win Impact6.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time645ms−11ms
first ⅓ avg 656ms → last ⅓ avg 645ms
Headshot accuracy19.5%+0.2%
first ⅓ avg 19.3% → last ⅓ avg 19.5%

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

0.08Best rating — mirage 13–8
131Biggest win — mirage
7Longest win streak
106In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 100% over 5infernoWeakest map · 41% over 22
MapGradePlayedRecordWin rateAvg rating
dust2C26111542%-0.01
infernoC2291341%-0.01
mirageS1611569%0.00
nukeB137654%-0.01
ancientS128467%-0.02
anubisA53260%-0.01
overpassS550100%-0.01
cache1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,826Lifetime kills
0.98K/D
2,515Matches
47.4%Match win rate · Top 50% of Pink band
48.0%Headshot % · Top 50% of Pink band
13.9%Shot accuracy · Top 50% of Pink band
5,878MVPs
1,101Hours (in match)
3,074Bombs planted
644Bombs defused

Most-used weapons

AK-4714,046
AWP6,011
MP91,488
MAC-101,261
P2501,119
UMP-451,032

Lifetime map wins

12,803dust2
2,640inferno
1,533nuke
458train
439vertigo
52cbble
46aztec
27office

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
31.3%Accuracy (enemy spotted)
27.2%Spray accuracy
84.1%Counter-strafing
10.7°Preaim
647msReaction time
22.5%T opening success
50.0%CT opening success
0.63Enemies flashed / flash
5.8%Flash assists
13.44HE damage / grenade
7.77Flashes / 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 22.5469% — 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.

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0713%12 Aug
mirage13–16-0.0121%8 Aug
dust27–13-0.0327%8 Aug
dust213–7-0.0532%6 Aug
dust213–110.0640%5 Aug
inferno7–13-0.0627%5 Aug
anubis10–13-0.0018%5 Aug
inferno9–130.0622%3 Aug
dust213–4-0.0616%2 Aug
nuke13–11-0.0116%2 Aug
mirage15–15-0.0221%30 Jul
inferno7–13-0.107%30 Jul
inferno9–13-0.0421%29 Jul
mirage13–10-0.0318%26 Jul
dust213–8-0.0512%26 Jul
inferno0–11-0.045%26 Jul
ancient13–10-0.0814%23 Jul
dust23–13-0.0526%23 Jul
cache6–13-0.0317%19 Jul
nuke13–80.0221%18 Jul
inferno13–9-0.0426%12 Jul
mirage13–40.0110%12 Jul
dust213–9-0.049%12 Jul
mirage16–13-0.0210%11 Jul
nuke6–13-0.0415%8 Jul
mirage13–80.0827%6 Jul
anubis13–110.0220%6 Jul
dust29–13-0.0824%4 Jul
mirage13–20.0516%29 Jun
inferno9–13-0.0531%28 Jun
inferno16–14-0.0517%27 Jun
inferno13–70.0428%22 Jun
nuke13–7-0.0015%22 Jun
nuke7–13-0.0713%21 Jun
dust25–130.0313%21 Jun
dust25–13-0.078%21 Jun
nuke13–60.0332%21 Jun
overpass13–11-0.0322%20 Jun
dust29–130.0328%20 Jun
dust213–80.0119%20 Jun
ancient13–6-0.0317%20 Jun
nuke8–130.0125%20 Jun
dust213–9-0.0119%20 Jun
mirage11–130.0327%20 Jun
inferno7–130.0318%18 Jun
nuke7–13-0.0121%18 Jun
ancient10–13-0.0616%18 Jun
ancient11–13-0.0113%17 Jun
inferno13–10-0.0428%16 Jun
inferno2–40.0425%15 Jun
dust213–110.0427%15 Jun
inferno13–30.0110%15 Jun
inferno13–2-0.0521%14 Jun
ancient16–120.0122%13 Jun
overpass13–8-0.0012%13 Jun
mirage13–80.0323%12 Jun
ancient13–110.0816%12 Jun
inferno4–13-0.0321%11 Jun
inferno13–10-0.0220%10 Jun
nuke8–13-0.0613%9 Jun
dust26–13-0.0514%9 Jun
overpass13–9-0.0322%9 Jun
ancient13–7-0.0716%8 Jun
ancient7–13-0.0531%1 Jun
mirage13–10.0114%1 Jun
dust28–13-0.0021%25 May
anubis13–7-0.0217%25 May
inferno5–13-0.0222%24 May
mirage13–70.0515%24 May
dust210–130.0519%24 May
dust213–110.049%24 May
dust215–150.0623%23 May
nuke13–11-0.0515%23 May
mirage13–10-0.0312%23 May
overpass13–90.027%20 May
overpass13–11-0.0216%19 May
ancient10–13-0.0217%19 May
dust213–60.0318%18 May
anubis5–13-0.0410%18 May
inferno1–13-0.0212%18 May
dust22–13-0.0048%18 May
nuke13–5-0.0332%17 May
ancient13–70.0224%17 May
inferno5–13-0.0125%16 May
mirage13–9-0.0114%16 May
dust211–13-0.0513%16 May
mirage13–70.0126%16 May
nuke11–13-0.0119%11 May
ancient13–4-0.0322%10 May
anubis13–70.0129%10 May
inferno13–100.0215%7 May
dust28–13-0.0223%7 May
dust211–130.0219%7 May
inferno8–13-0.0211%5 May
mirage8–13-0.088%5 May
nuke13–50.0325%4 May
ancient13–9-0.014%4 May
mirage10–13-0.0131%3 May
dust21–13-0.1336%2 May
inferno16–120.0617%2 May

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 →