Hypnos — CS2 Stats

76561198195260619[U:1:234994891]

1,979Tracked matches63%Win rate2023Tracked since
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating19,781Purple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#5970 of 12615 tracked
FaceitLevel 9 · 1,938 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGHypnosFACEITLevel 9 · 1,938 ELOSTANDINGTop 20.7% of rankedPREMIER19,781 · Purple bandcsdb.gg/stats

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Performance scores

Aim80
Positioning56
Utility62

0–100 skill scores via Leetify.

Recent form

HOT5545Last 10055%Win rateLWWWWWLWWW

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.0
Aggression8.7
Utility6.2
Positioning5.6
Opening Duels4.4
Clutch3.8

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

device

Plays most like device 92% playstyle similarity

Most alike: opening-duel success, 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 58% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim8.0
Positioning5.6
Utility6.2
Mechanics5.6
Opening Duels4.4
Win Impact9.4

Composite 6.7/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time562ms−21ms
first ⅓ avg 583ms → last ⅓ avg 562ms
Headshot accuracy26.4%−3.1%
first ⅓ avg 29.5% → last ⅓ avg 26.4%

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

0.22Best rating — mirage 13–4
131Biggest win — inferno
7Longest win streak
1113In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 63% over 16dust2Weakest map · 46% over 26
MapGradePlayedRecordWin rateAvg rating
dust2B26121446%-0.00
mirageB25131252%0.02
infernoA1610663%0.05
ancientB147750%-0.00
anubisA116555%-0.00
cache43175%0.01
nuke220100%0.07
overpass110100%0.13
train110100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (46% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,342Matches
49%Win rate
1.06Avg K/D
80.0ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage37051%1.0715.2
Inferno29152%1.0916.1
Ancient21548%1.0315.4
Dust217242%1.0816.6
Anubis11054%1.0214.2
Nuke6946%1.0315.1
Vertigo4753%1.0214.3
Overpass3155%1.0716.2

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.

27.7%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.2%Spray accuracy
75.3%Counter-strafing
9.7°Preaim
556msReaction time
37.4%T opening success
58.0%CT opening success
0.56Enemies flashed / flash
7.2%Flash assists
8.57HE damage / grenade
9.93Flashes / 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 37.401% — 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.

46% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno11–130.0219%28 Aug
mirage13–50.0226%28 Aug
dust213–10-0.0239%28 Aug
nuke13–110.0534%28 Aug
inferno13–40.0630%28 Aug
dust213–5-0.0513%28 Aug
anubis8–13-0.0721%27 Aug
mirage13–110.0722%26 Aug
inferno13–10.0430%25 Aug
ancient13–80.0722%25 Aug
dust213–110.0226%25 Aug
mirage11–130.0529%24 Aug
mirage13–70.0730%22 Aug
dust213–160.0838%22 Aug
anubis13–50.0827%22 Aug
mirage9–13-0.0224%22 Aug
ancient11–130.0726%22 Aug
dust213–100.0524%21 Aug
inferno13–50.0623%21 Aug
mirage10–130.0544%21 Aug
ancient7–13-0.0532%19 Aug
dust210–13-0.0221%19 Aug
mirage13–70.0136%19 Aug
inferno13–90.0932%19 Aug
cache13–90.0435%18 Aug
cache6–130.0221%18 Aug
ancient13–20.0132%18 Aug
mirage13–8-0.0522%18 Aug
dust26–130.0017%26 Jul
mirage13–8-0.0127%26 Jul
inferno13–7-0.0415%25 Jul
mirage12–160.0122%25 Jul
anubis11–13-0.0812%18 Jul
mirage7–13-0.0644%18 Jul
dust213–6-0.0133%18 Jul
dust23–130.0129%17 Jul
anubis13–60.0530%16 Jul
dust213–70.0228%15 Jul
anubis16–13-0.0232%14 Jul
inferno11–13-0.0226%14 Jul
mirage11–13-0.0128%13 Jul
inferno13–50.0722%12 Jul
mirage12–160.0535%11 Jul
anubis8–13-0.0416%10 Jul
dust211–130.0339%9 Jul
dust213–110.0134%8 Jul
mirage16–130.0426%8 Jul
ancient13–5-0.0225%8 Jul
inferno13–100.0527%5 Jul
dust213–110.0120%5 Jul
mirage13–10-0.0329%3 Jul
mirage16–140.0024%3 Jul
inferno9–130.0413%3 Jul
overpass13–90.1324%2 Jul
ancient11–130.0019%29 Jun
mirage6–13-0.0329%28 Jun
mirage4–13-0.0226%28 Jun
inferno13–100.0325%27 Jun
dust211–13-0.0321%27 Jun
anubis13–100.0124%26 Jun
anubis13–11-0.0127%26 Jun
dust217–19-0.0524%25 Jun
ancient13–70.0226%24 Jun
mirage1–8-0.1025%22 Jun
dust26–13-0.0426%21 Jun
mirage11–130.0227%19 Jun
ancient1–5-0.060%17 Jun
dust213–110.0315%16 Jun
nuke13–80.0830%16 Jun
dust29–13-0.0433%15 Jun
mirage13–20.0825%15 Jun
inferno16–130.1137%14 Jun
dust27–13-0.0330%13 Jun
inferno5–13-0.0032%13 Jun
anubis9–130.0340%12 Jun
cache13–11-0.0226%10 Jun
dust24–13-0.0124%10 Jun
train13–90.0622%9 Jun
anubis7–13-0.0124%9 Jun
ancient7–13-0.0538%8 Jun
ancient7–130.0516%7 Jun
dust211–130.0238%6 Jun
mirage13–90.0221%6 Jun
dust210–13-0.0021%6 Jun
dust213–11-0.0335%5 Jun
cache13–10-0.0225%5 Jun
ancient13–10-0.0425%5 Jun
mirage13–10.1733%5 Jun
inferno11–130.0726%4 Jun
ancient3–13-0.0922%31 May
dust210–13-0.0444%30 May
mirage5–13-0.0027%30 May
inferno13–90.0533%30 May
anubis5–20.0436%30 May
mirage13–40.2232%29 May
dust213–110.0828%28 May
inferno7–130.1837%28 May
dust213–6-0.0625%28 May
ancient19–15-0.0225%27 May
ancient13–80.0851%25 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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