Ripper

Ripper — CS2 Stats

76561199144769256[U:1:1184503528]Steam profile ↗✓ No bans

1,600Tracked matches54%Win rate2023Tracked since
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 7 · 1,362 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGRipperFACEITLevel 7 · 1,362 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning40
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY53398Last 10053%Win rateLWWLWLLWLW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.4
Aggression4.6
Utility2.5
Positioning4.0
Opening Duels1.5
Clutch4.6

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 85% 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 44 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.

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

Aim8.4
Positioning4.0
Utility2.5
Mechanics5.9
Opening Duels1.5
Win Impact6.3

Composite 4.8/10 (Developing), 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 rating0.02−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.02
Reaction time548ms−5ms
first ⅓ avg 553ms → last ⅓ avg 548ms
Headshot accuracy25.7%+4.1%
first ⅓ avg 21.5% → last ⅓ avg 25.7%

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

0.19Best rating — vertigo 13–3
131Biggest win — anubis
8Longest win streak
66In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 88% over 8ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
anubisA2213959%0.06
nukeA1710759%0.05
vertigoB157847%0.05
dust2C94544%0.00
infernoS87188%0.03
trainB84450%0.02
ancientD71614%-0.00
mirageA74357%0.04
cache3030%0.00
overpass32167%0.05
office110100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

385Matches
50%Win rate
1.20Avg K/D
79.1ADR
46%Headshot %

Clutches & streaks

43%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8754%1.2616.1
Dust26453%1.4015.9
Nuke5155%1.3118.3
Inferno4151%1.1414.9
Anubis3557%1.1014.8
Overpass2540%0.9914.3
Vertigo2540%1.1116.5
Ancient1833%1.1816.9

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.

22.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
40.9%Spray accuracy
76.7%Counter-strafing
9.0°Preaim
528msReaction time
30.5%T opening success
41.5%CT opening success
0.35Enemies flashed / flash
4.7%Flash assists
7.47HE damage / grenade
1.02Flashes / 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 0.3462 — 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 30.5333% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0228%28 Aug
anubis13–4-0.024%28 Aug
anubis13–50.0923%27 Aug
ancient8–130.0216%27 Aug
vertigo13–100.0331%27 Aug
ancient4–13-0.0421%27 Aug
ancient4–130.0323%27 Aug
mirage2–00.11100%27 Aug
dust211–130.0033%27 Aug
dust213–4-0.0225%27 Aug
anubis13–50.0623%27 Aug
anubis13–30.0816%27 Aug
anubis13–20.0924%26 Aug
nuke13–70.1044%26 Aug
cache12–120.0227%25 Aug
nuke2–13-0.084%25 Aug
anubis13–70.0630%24 Aug
cache6–13-0.0611%24 Aug
ancient13–2-0.0310%24 Aug
ancient0–40.0113%24 Aug
cache11–130.0525%23 Aug
anubis12–120.0723%22 Aug
dust212–12-0.0415%22 Aug
ancient15–15-0.0620%20 Aug
anubis13–100.0217%20 Aug
mirage10–130.0128%18 Aug
dust26–13-0.0231%16 Aug
inferno13–10-0.0016%16 Aug
mirage11–130.0519%16 Aug
nuke13–30.0535%16 Aug
nuke9–20.0929%14 Aug
vertigo13–30.0850%19 Jul
anubis6–13-0.0333%17 Jul
nuke8–130.0321%9 Jul
vertigo3–13-0.0121%1 Jul
vertigo9–130.0723%29 Jun
anubis1–130.0113%29 Jun
nuke13–8-0.0416%22 Jun
inferno13–40.009%22 Jun
anubis13–70.1616%22 Jun
train7–130.0224%21 Jun
vertigo4–130.0114%20 Jun
train0–5-0.0829%20 Jun
overpass13–110.0725%20 Jun
overpass7–130.0112%20 Jun
anubis11–13-0.0027%20 Jun
anubis4–130.0738%20 Jun
anubis7–130.0222%20 Jun
vertigo13–50.0923%20 Jun
anubis6–130.0510%19 Jun
anubis3–130.1218%19 Jun
vertigo13–30.1925%19 Jun
overpass13–80.0715%19 Jun
train13–70.0422%19 Jun
train11–13-0.0413%18 Jun
train13–30.0913%18 Jun
train13–70.0359%18 Jun
vertigo12–12-0.0633%18 Jun
train11–50.0747%18 Jun
train6–13-0.0024%18 Jun
ancient8–130.0428%18 Jun
vertigo13–50.0716%18 Jun
vertigo12–120.0230%17 Jun
mirage12–12-0.0121%17 Jun
inferno6–13-0.0229%17 Jun
nuke6–130.0725%17 Jun
nuke3–130.0226%17 Jun
inferno13–40.1221%17 Jun
dust212–120.0313%17 Jun
dust213–20.007%17 Jun
anubis13–90.0532%17 Jun
vertigo6–13-0.0318%16 Jun
office13–70.0138%16 Jun
dust213–4-0.0137%16 Jun
dust213–50.0726%16 Jun
inferno13–90.0326%16 Jun
anubis13–110.0118%16 Jun
anubis6–130.1619%16 Jun
anubis13–10.1521%16 Jun
anubis13–70.0323%15 Jun
anubis13–90.0913%15 Jun
inferno13–50.0114%15 Jun
inferno13–100.0223%15 Jun
vertigo13–110.1220%14 Jun
mirage13–10.0717%14 Jun
mirage13–90.0720%14 Jun
vertigo10–130.0929%14 Jun
nuke13–70.1424%14 Jun
nuke13–11-0.0324%14 Jun
nuke11–130.138%14 Jun
nuke4–13-0.0217%14 Jun
nuke13–100.1420%14 Jun
nuke13–60.0633%13 Jun
nuke13–70.0219%13 Jun
vertigo13–60.1020%13 Jun
mirage13–100.009%12 Jun
vertigo8–130.0330%11 Jun
nuke13–110.0629%11 Jun
nuke6–130.1522%11 Jun
inferno13–70.0922%10 Jun

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →