HyperU- — CS2 Stats

76561198982632380[U:1:1022366652]

3,341Tracked matches50%Win rate2020Tracked since
4,338Hours in CS39Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating23,264Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#8195 of 38419 tracked
FaceitLevel 10 · 1,658 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 playerLevel 10 median
Headshot rate67.5%51.9%
Shot accuracy8.0%13.7%
Kill/death ratio1.141.08
Match win rate48.3%48.7%

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CSDB.GGHyperU-FACEITLevel 10 · 1,658 ELOSTANDINGTop 12.4% of rankedPREMIER23,264 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning57
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY48502Last 10048%Win rateLWWWLWWWLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating

Player DNA

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

Aim7.2
Aggression6.0
Utility3.7
Positioning5.7
Opening Duels2.2
Clutch3.0

Strong CT-side opener

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 87% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower aim 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

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 53% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.2
Positioning5.7
Utility3.7
Mechanics5.2
Opening Duels2.9
Win Impact5.0

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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time517ms−136ms
first ⅓ avg 653ms → last ⅓ avg 517ms
Headshot accuracy18.7%−2.0%
first ⅓ avg 20.7% → last ⅓ avg 18.7%

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

0.28Best rating — poseidon 9–1
130Biggest win — dust2
8Longest win streak
812In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B20101050%-0.02
ancientC1661038%-0.03
mirageA148657%-0.01
anubisC135838%-0.03
nukeS96367%0.03
infernoD82625%-0.03
cacheA74357%0.02
poseidonA53260%0.02
vertigo31233%-0.06
train21150%-0.02
debris220100%-0.02
overpass1010%-0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

164,216Lifetime kills
1.14K/D · Top 50% of Level 10 players
5,054Matches
48.3%Match win rate
67.5%Headshot % · Top 10% of Level 10 players
8.0%Shot accuracy
15,331MVPs
4,991Hours (in match)
4,767Bombs planted
2,972Bombs defused

Most-used weapons

AK-4773,005
AWP16,297
FAMAS3,353
Knife1,999
MP91,793

Lifetime map wins

10,388inferno
7,088dust2
4,417vertigo
4,225nuke
1,453train
180italy
177office
77cbble

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

Faceit stats

Combat

1,074Matches
51%Win rate
0.86Avg K/D
78.3ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage13248%0.9014.4
Anubis12160%0.8914.0
Ancient11254%0.9314.3
Inferno6351%1.0015.8
Dust25252%0.8814.4
Vertigo4745%0.8513.0
Nuke2524%0.8213.7
Overpass1450%0.8614.0

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.

18.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.3%Spray accuracy
73.4%Counter-strafing
9.9°Preaim
518msReaction time
24.5%T opening success
53.3%CT opening success
0.34Enemies flashed / flash
5.2%Flash assists
7.48HE damage / grenade
6.89Flashes / 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 0.3426 — 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 24.5441% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust217–19-0.0221%28 Aug
anubis13–60.0130%28 Aug
ancient13–9-0.0714%28 Aug
cache13–70.0114%26 Aug
mirage15–19-0.0311%26 Aug
mirage13–4-0.049%26 Aug
dust213–60.0414%26 Aug
dust213–60.0823%26 Aug
ancient8–13-0.0516%25 Aug
anubis4–13-0.1013%25 Aug
anubis13–4-0.0816%25 Aug
ancient8–13-0.0124%25 Aug
anubis11–13-0.0124%25 Aug
ancient13–11-0.0215%25 Aug
anubis9–130.0218%25 Aug
cache7–13-0.0611%25 Aug
ancient10–13-0.0517%25 Aug
anubis11–13-0.0317%24 Aug
mirage13–80.0120%24 Aug
ancient13–8-0.0024%24 Aug
ancient5–13-0.0325%24 Aug
anubis13–7-0.0413%23 Aug
cache13–160.0620%23 Aug
ancient7–13-0.0129%23 Aug
mirage25–230.0620%23 Aug
ancient13–80.0225%23 Aug
mirage11–13-0.0511%23 Aug
mirage13–20.0517%22 Aug
cache11–130.0329%21 Aug
dust213–4-0.0312%21 Aug
mirage16–13-0.0215%21 Aug
ancient8–13-0.0821%21 Aug
dust28–13-0.0331%20 Aug
mirage13–10-0.0727%20 Aug
cache13–20.0819%20 Aug
mirage13–6-0.0114%20 Aug
cache13–20.0420%19 Aug
inferno8–13-0.0618%19 Aug
dust211–13-0.0415%19 Aug
dust24–13-0.0621%19 Aug
ancient6–130.0135%19 Aug
dust213–5-0.0825%19 Aug
ancient13–6-0.0031%19 Aug
mirage11–13-0.0315%19 Aug
mirage5–13-0.0513%19 Aug
nuke13–110.0520%18 Aug
train13–110.0027%17 Aug
train5–13-0.0526%17 Aug
anubis4–13-0.0222%12 Aug
overpass2–9-0.1714%12 Aug
inferno9–50.0725%12 Aug
poseidon1–9-0.200%12 Aug
vertigo1–9-0.1927%11 Aug
debris9–2-0.0515%11 Aug
vertigo9–20.0127%11 Aug
debris9–70.0120%11 Aug
nuke7–9-0.0422%11 Aug
nuke9–40.1430%11 Aug
nuke9–20.1850%11 Aug
poseidon9–20.0729%11 Aug
poseidon9–10.2842%11 Aug
nuke9–30.1137%11 Aug
nuke9–5-0.079%11 Aug
poseidon9–1-0.0327%11 Aug
nuke9–6-0.0218%11 Aug
inferno6–9-0.0135%11 Aug
inferno6–9-0.0733%11 Aug
inferno9–20.0728%11 Aug
nuke5–9-0.0415%9 Aug
poseidon4–9-0.0236%9 Aug
inferno8–8-0.0812%9 Aug
inferno7–13-0.0622%6 Aug
dust213–60.0142%5 Aug
ancient4–13-0.068%5 Aug
dust27–13-0.0716%5 Aug
dust25–130.0129%1 Aug
vertigo2–13-0.0115%1 Aug
dust213–00.0441%1 Aug
mirage13–70.0435%1 Aug
dust216–14-0.0420%27 Jul
anubis13–6-0.0123%25 Jul
anubis10–13-0.007%25 Jul
dust213–70.0012%25 Jul
dust213–5-0.0213%25 Jul
mirage8–13-0.0215%24 Jul
nuke11–13-0.0625%24 Jul
dust215–15-0.0118%24 Jul
dust211–13-0.0026%23 Jul
anubis8–130.0126%23 Jul
anubis4–13-0.0219%22 Jul
dust27–13-0.0717%22 Jul
dust213–100.0231%21 Jul
ancient11–13-0.0222%21 Jul
dust211–13-0.0516%21 Jul
mirage5–130.0014%18 Jul
inferno3–13-0.086%18 Jul
anubis13–11-0.0614%18 Jul
ancient4–13-0.099%17 Jul
ancient13–11-0.0318%17 Jul
cache13–3-0.0528%16 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →