Ripname

Ripname — CS2 Stats

76561198263007704[U:1:302741976]Steam profile ↗

510Tracked matches53%Win rate2020Tracked since
1,466Hours in CS19Hrs last 2 wks
CSDB Rating6.5 SolidAggressive Rifler
Premier CS Rating18,076Purple band · top ~16.2% of ranked players (population est.)
CSDB Leaderboard#17635 of 35357 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate33.7%49.0%52.0%18.4% short
Shot accuracy12.8%13.1%13.7%0.9% short
Kill/death ratio1.801.081.08above
Match win rate53.9%46.9%48.8%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRipnameFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER18,076 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning60
Utility63

0–100 skill scores via Leetify.

Recent form

HOT49465Last 10049%Win rateLWLWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.7
Aggression9.3
Utility6.3
Positioning6.0
Opening Duels4.5
Clutch0.8

Strong CT-side openerEffective flashes

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 59% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim7.7
Positioning6.0
Utility6.3
Mechanics6.8
Opening Duels4.5
Win Impact6.1

Composite 6.5/10 (Solid), 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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time585ms+15ms
first ⅓ avg 569ms → last ⅓ avg 585ms
Headshot accuracy18.3%+0.5%
first ⅓ avg 17.8% → last ⅓ avg 18.3%

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

0.18Best rating — mirage 13–1
130Biggest win — mirage
8Longest win streak
613In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD2061430%0.03
mirageA1911858%0.03
anubisA148657%0.03
ancientA106460%0.02
dust2C104640%0.02
cacheC94544%0.05
nukeC83538%0.02
overpass32167%0.07
vertigo330100%0.07
train220100%0.03
poseidon1010%0.12
grail1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,493Lifetime kills
1.80K/D · Top 5% of Level 9 players
1,172Matches
53.9%Match win rate · Top 10% of Level 9 players
33.7%Headshot %
12.8%Shot accuracy
3,765MVPs
594Hours (in match)
1,982Bombs planted
767Bombs defused

Most-used weapons

Lifetime map wins

2,867inferno
1,525dust2
1,124nuke
949train
701vertigo
491cbble
229office
100italy

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

Faceit stats

Combat

270Matches
56%Win rate
1.33Avg K/D
74.5ADR
39%Headshot %

Clutches & streaks

24%1v1 clutch win
7%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4468%1.3216.4
Mirage3441%1.1416.6
Anubis2365%1.3416.9
Ancient1942%1.1214.0
Overpass1861%1.4217.2
Nuke1656%1.0017.0
Vertigo1580%1.3115.7
Dust2333%0.8112.7

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.

18.1%Headshot accuracy
37.6%Accuracy (enemy spotted)
37.5%Spray accuracy
80.5%Counter-strafing
9.1°Preaim
579msReaction time
37.5%T opening success
58.5%CT opening success
0.72Enemies flashed / flash
7.3%Flash assists
9.76HE damage / grenade
10.44Flashes / 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 37.5474% — 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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–130.0411%25 Aug
mirage6–2-0.0517%23 Aug
cache10–100.1313%22 Aug
ancient13–100.039%22 Aug
cache13–80.0424%22 Aug
mirage13–00.0322%22 Aug
anubis13–90.0514%22 Aug
mirage13–30.0216%18 Aug
ancient13–20.0811%18 Aug
dust213–110.0820%18 Aug
nuke10–13-0.0333%18 Aug
cache6–13-0.018%18 Aug
mirage11–13-0.035%18 Aug
inferno7–13-0.0227%18 Aug
cache14–160.0623%17 Aug
mirage13–60.1017%17 Aug
dust28–13-0.0217%17 Aug
inferno12–160.0328%16 Aug
nuke5–130.0012%16 Aug
cache13–30.1516%16 Aug
inferno11–130.0512%16 Aug
anubis13–100.0416%9 Aug
ancient9–130.0624%9 Aug
mirage13–90.1118%9 Aug
cache13–100.0716%9 Aug
mirage2–130.0325%8 Aug
cache8–13-0.0319%8 Aug
inferno13–110.0523%8 Aug
anubis13–80.0620%8 Aug
mirage13–10.1823%7 Aug
dust27–13-0.0415%7 Aug
cache11–13-0.0115%7 Aug
inferno3–90.0233%31 Jul
mirage8–13-0.0215%31 Jul
anubis13–110.0525%30 Jul
inferno8–80.0326%30 Jul
nuke6–90.0828%18 Jul
inferno8–80.0323%18 Jul
mirage5–13-0.0522%11 Jul
inferno13–40.1715%11 Jul
cache13–80.0531%11 Jul
inferno6–90.0627%11 Jul
dust26–130.0328%27 Jun
mirage11–130.0320%27 Jun
poseidon8–80.1221%27 Jun
mirage13–40.0916%22 Jun
dust21–13-0.076%22 Jun
nuke4–130.0114%22 Jun
ancient13–90.0515%21 Jun
mirage7–13-0.0022%21 Jun
anubis13–160.0817%28 Jun
inferno13–50.0719%28 Jun
anubis15–15-0.0124%27 Jun
mirage4–13-0.0512%23 Jun
anubis14–160.0117%22 Jun
anubis13–100.0335%13 Jun
dust22–13-0.0210%13 Jun
inferno2–13-0.0215%26 May
mirage13–8-0.0316%26 May
ancient11–13-0.0015%26 May
grail7–130.0421%25 May
inferno13–10-0.0213%25 May
dust213–50.0628%25 May
train13–80.0314%25 May
ancient13–11-0.0119%25 May
nuke13–70.0624%25 May
mirage13–10.0818%24 May
anubis13–11-0.0214%22 May
ancient13–4-0.0016%22 May
inferno12–120.0716%22 May
ancient9–13-0.0425%22 May
dust213–30.0719%21 May
overpass13–80.1117%4 May
train13–100.0312%4 May
vertigo13–20.0614%4 May
dust211–13-0.009%4 May
overpass13–60.1514%21 Jul
nuke9–13-0.047%22 Jun
ancient9–130.009%18 Jun
inferno10–13-0.044%18 Jun
mirage13–70.0719%12 Jun
vertigo13–40.0916%12 Jun
ancient13–80.0519%12 Jun
anubis13–11-0.0121%3 Jun
nuke13–80.0329%25 Apr
dust213–40.1328%25 Apr
vertigo13–100.0632%25 Apr
overpass0–11-0.050%24 Feb
anubis14–160.0431%16 Feb
inferno11–130.0160%12 Feb
anubis13–60.044%12 Feb
anubis4–130.0224%31 Jan
anubis6–13-0.0126%30 Jan
inferno13–20.0514%30 Jan
nuke13–90.089%28 Dec
mirage13–3-0.0116%28 Dec
mirage16–190.0328%28 Dec
inferno2–13-0.0411%28 Dec
inferno11–13-0.0110%28 Dec
inferno13–6-0.0213%27 Dec

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 →