Hyperbolic

Hyperbolic — CS2 Stats

AU76561198219207660[U:1:258941932]Steam profile ↗✓ No bans

1,045Tracked matches69%Win rate2020Tracked since
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating25,359Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#2384 of 18302 tracked
FaceitLevel 9 · 2,079 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGHyperbolicFACEITLevel 9 · 2,079 ELOSTANDINGTop 20.7% of rankedPREMIER25,359 · Red bandcsdb.gg/stats

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Performance scores

Aim76
Positioning53
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51436Last 10051%Win rateLLLLWWWWLL

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

Player DNA

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

Aim7.6
Aggression8.5
Utility4.0
Positioning5.3
Opening Duels4.4
Clutch4.8

Strong CT-side openerLimited 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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim7.6
Positioning5.3
Utility4.0
Mechanics6.6
Opening Duels4.4
Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time579ms−35ms
first ⅓ avg 614ms → last ⅓ avg 579ms
Headshot accuracy27.4%+1.3%
first ⅓ avg 26.2% → last ⅓ avg 27.4%

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

0.20Best rating — cache 13–4
131Biggest win — cache
5Longest win streak
L4Current streak
34In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 67% over 15dust2Weakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
dust2C24101442%0.02
infernoA2213959%0.04
cacheS1510567%0.03
mirageA148657%0.04
nukeB115645%-0.01
ancientB105550%0.00
anubis3030%0.01
overpass1010%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

455Matches
57%Win rate
1.58Avg K/D
80.2ADR
56%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust25355%1.1816.6
Ancient3560%1.3315.9
Mirage3358%1.1515.9
Inferno3361%1.4817.6
Nuke1362%1.4817.9
Train650%1.0416.3
Anubis475%1.1616.8
Overpass30%0.8514.7

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.

27.1%Headshot accuracy
28.9%Accuracy (enemy spotted)
35.2%Spray accuracy
79.7%Counter-strafing
8.2°Preaim
583msReaction time
38.2%T opening success
56.9%CT opening success
0.50Enemies flashed / flash
4.3%Flash assists
9.25HE damage / grenade
2.66Flashes / 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 0.4991 — 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 38.1847% — below the 40% mark we flag

Spend your practice time on Dust 2

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

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.0421%23 Aug
mirage5–13-0.0929%18 Aug
dust28–13-0.0413%15 Aug
inferno4–13-0.0328%14 Aug
mirage13–100.0429%13 Aug
inferno13–11-0.0123%13 Aug
ancient13–100.0328%7 Aug
mirage13–60.0656%5 Aug
dust211–130.0421%5 Aug
dust29–130.0638%4 Aug
nuke13–8-0.0222%2 Aug
nuke13–6-0.0527%1 Aug
nuke11–13-0.0226%1 Aug
cache13–90.0117%1 Aug
dust213–80.0517%1 Aug
inferno13–50.0222%29 Jul
mirage13–80.0328%29 Jul
mirage15–150.0429%27 Jul
mirage13–50.0227%26 Jul
mirage13–70.0938%25 Jul
dust213–100.0227%25 Jul
cache13–90.0335%25 Jul
nuke4–9-0.0725%25 Jul
inferno9–3-0.0433%25 Jul
ancient13–50.0324%22 Jul
dust210–13-0.0429%22 Jul
inferno13–50.0519%22 Jul
inferno3–130.0129%22 Jul
ancient13–60.0414%16 Jul
mirage13–90.0230%16 Jul
inferno13–50.0531%16 Jul
mirage13–70.0838%15 Jul
inferno9–13-0.0333%15 Jul
nuke13–4-0.0129%15 Jul
dust213–60.0130%13 Jul
mirage4–00.0433%13 Jul
dust213–100.0126%5 Jul
cache12–120.0117%5 Jul
cache13–10.1527%5 Jul
nuke16–13-0.0020%5 Jul
cache4–13-0.0524%4 Jul
cache7–2-0.0038%4 Jul
inferno13–90.0333%28 Jun
inferno12–120.0825%27 Jun
cache13–20.0225%27 Jun
inferno3–90.0113%24 Jun
mirage9–130.0120%22 Jun
dust27–130.1425%17 Jun
dust27–13-0.0226%14 Jun
ancient15–15-0.0324%13 Jun
cache2–13-0.0813%13 Jun
cache13–80.0721%13 Jun
cache13–40.2017%6 Jun
anubis6–130.0411%6 Jun
inferno13–40.1332%6 Jun
anubis6–130.0142%1 Jun
dust27–130.0133%18 May
dust211–130.0326%16 May
inferno13–50.1724%16 May
cache5–130.0029%7 May
nuke10–13-0.0323%5 May
dust213–40.0736%2 May
cache4–13-0.0211%2 May
nuke13–70.0733%2 May
cache13–50.0928%1 May
cache13–60.0429%1 May
inferno10–130.0617%1 May
ancient2–13-0.0415%1 May
ancient13–110.0224%1 May
inferno13–50.1042%29 Apr
cache13–50.0338%29 Apr
inferno13–8-0.0026%28 Apr
inferno13–70.0636%26 Apr
nuke5–130.0429%26 Apr
mirage10–130.0922%26 Apr
anubis8–13-0.0025%26 Apr
inferno13–60.0624%26 Apr
inferno9–70.1212%26 Apr
dust28–130.0220%25 Apr
dust213–100.0822%25 Apr
inferno10–130.0319%22 Apr
dust212–160.0017%22 Apr
ancient2–13-0.0433%21 Apr
dust29–130.0229%21 Apr
dust26–13-0.0131%20 Apr
ancient13–8-0.0616%20 Apr
dust214–160.0225%19 Apr
ancient15–15-0.0225%19 Apr
inferno8–13-0.0414%18 Apr
mirage5–130.0141%18 Apr
mirage9–130.0822%18 Apr
dust213–80.0631%18 Apr
dust213–70.0941%18 Apr
dust213–10-0.0129%17 Apr
ancient7–130.0833%17 Apr
dust26–13-0.0425%17 Apr
overpass8–80.0416%17 Apr
dust213–20.0219%17 Apr
inferno4–13-0.0330%16 Apr
nuke8–13-0.0533%16 Apr

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
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