hyp[p]

hyp[p] — CS2 Stats

AT76561197974222001[U:1:13956273]Steam profile ↗✓ No bans

1,287Tracked matches75%Win rate2021Tracked since
CSDB Rating7.3 StrongSupport
Premier CS Rating27,199Top 5% of 212,695 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#5464 of 259560 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 27,199 +3,578 8 Jun – 1 Nov · 30 days played
20,39527,199peak 27,1998 Jun1 Nov
27,431Peak Premier in tracked matches
43Days played since 2026-06-08

Premier CS Rating

  • At peak — 27,199
  • +4,074 over 30 days · improving
  • +6,690 over 90 days
  • Next: Gold band at 30,000 — 2,801 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-10-26
  • Pink band first seen 2026-10-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGhyp[p]PREMIER27,199 · Red bandcsdb.gg/stats

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Performance scores

Aim76
Positioning66
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY57–38–5Last 10057%Win rateLTWWWWLWTW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +3.4pp headshot accuracy · +6ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 27%
  • Avg reaction 566ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 563ms

Last 20

  • 15–3–2 · 75% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 559ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim7.6
Utility6.9
Positioning6.6
Opening Duels3.4
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning6.6
Utility6.9
Mechanics5.6
Opening Duels4.3
Win Impact10.0

Composite 7.3/10 (Strong), 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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time543ms−74ms
first ⅓ avg 617ms → last ⅓ avg 543ms
Headshot accuracy23.4%−1.5%
first ⅓ avg 24.9% → last ⅓ avg 23.4%

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.

Personal bests

0.19Best match rating · 13–1 · nuke, 8 Jun →
49%Best headshot accuracy · 13–9 · inferno, 21 Aug →
359msFastest reaction time · 3–13 · train, 8 Oct →
13–0Biggest win · anubis, 18 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
7–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 80% over 15mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA2716–1159%0.03
nukeA2011–955%0.04
anubisB1910–953%0.02
ancientS1512–380%0.04
infernoS75–271%0.01
mirageC52–340%-0.02
dust2—40–40%-0.01
train—21–150%-0.00
overpass—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

157Matches
66%Win rate
1.47Avg K/D
101.7ADR
55%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2471%1.4120.4
Ancient2259%1.7519.1
Nuke1759%1.4421.3
Inferno888%1.5619.5
Train683%1.7224.8
Mirage650%1.2019.2
Overpass475%1.4820.0
Dust2250%1.4026.0

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.

23.9%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.7%Spray accuracy
75.1%Counter-strafing
10.0°Preaim
547msReaction time
45.1%T opening success
49.7%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
9.26HE damage / grenade
13.26Flashes / match

Recommended for you

Spend your practice time on Mirage

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0125%1 Nov →
cache15–150.0519%1 Nov →
ancient13–4-0.0112%1 Nov →
cache13–8-0.0442%30 Oct →
inferno13–30.0137%30 Oct →
cache13–50.0726%30 Oct →
nuke11–13-0.0324%30 Oct →
ancient13–60.0926%30 Oct →
anubis15–150.0123%30 Oct →
cache16–140.0018%29 Oct →
mirage8–13-0.0517%29 Oct →
nuke13–90.0315%21 Oct →
anubis16–13-0.0219%21 Oct →
mirage13–5-0.0022%20 Oct →
ancient13–90.0525%18 Oct →
mirage13–50.0121%18 Oct →
anubis13–00.0320%18 Oct →
nuke13–11-0.0524%18 Oct →
cache13–110.0432%18 Oct →
ancient13–70.0724%18 Oct →
inferno13–110.0026%17 Oct →
cache11–130.0523%17 Oct →
anubis13–110.0028%17 Oct →
dust211–13-0.0620%17 Oct →
cache1–13-0.1022%17 Oct →
nuke13–90.0831%16 Oct →
inferno13–9-0.0011%11 Oct →
nuke11–13-0.0225%11 Oct →
ancient13–30.0634%11 Oct →
nuke13–70.0332%11 Oct →
mirage6–13-0.0214%11 Oct →
anubis13–4-0.0114%11 Oct →
anubis13–100.0119%10 Oct →
dust212–160.0137%10 Oct →
train3–13-0.0417%8 Oct →
cache13–30.0432%27 Sept →
dust22–13-0.0436%27 Sept →
anubis11–130.0426%27 Sept →
dust212–120.0317%23 Sept →
nuke6–130.0118%20 Sept →
anubis13–40.0613%10 Sept →
cache12–120.0119%10 Sept →
anubis9–130.0428%8 Sept →
anubis13–100.0023%7 Sept →
nuke13–90.0332%5 Sept →
cache13–10.1533%5 Sept →
nuke13–8-0.0142%2 Sept →
cache13–10.0727%1 Sept →
nuke5–130.0827%23 Aug →
anubis13–60.0931%23 Aug →
inferno13–90.0049%21 Aug →
anubis13–160.0526%21 Aug →
cache13–90.1726%19 Aug →
anubis7–13-0.0320%19 Aug →
anubis13–100.0631%19 Aug →
anubis15–150.0525%17 Aug →
nuke14–160.0625%17 Aug →
nuke13–5-0.0132%16 Aug →
nuke11–13-0.0230%16 Aug →
ancient13–8-0.0523%16 Aug →
cache13–80.0223%13 Aug →
ancient13–20.0525%13 Aug →
anubis9–130.0321%13 Aug →
nuke13–50.1017%11 Aug →
cache10–13-0.0133%9 Aug →
nuke11–130.0420%9 Aug →
ancient5–13-0.0137%9 Aug →
ancient13–60.0628%9 Aug →
inferno13–11-0.0122%6 Aug →
cache12–160.0425%5 Aug →
cache13–60.0136%4 Aug →
inferno10–130.0622%4 Aug →
ancient7–130.0325%22 Jul →
nuke13–30.0830%22 Jul →
cache13–60.0536%22 Jul →
cache13–9-0.0329%22 Jul →
ancient13–40.0920%22 Jul →
cache14–16-0.0329%18 Jul →
ancient16–130.0719%18 Jul →
ancient13–40.1121%18 Jul →
cache13–80.0314%13 Jul →
anubis5–13-0.0220%13 Jul →
ancient11–130.0324%13 Jul →
cache13–60.0422%12 Jul →
anubis16–13-0.0131%12 Jul →
cache9–130.0421%12 Jul →
nuke4–13-0.0315%12 Jul →
mirage5–13-0.0432%8 Jul →
cache13–110.0625%7 Jul →
cache8–130.0523%7 Jul →
overpass10–130.0130%5 Jul →
ancient13–20.018%27 Jun →
cache6–130.0725%27 Jun →
cache3–130.0122%27 Jun →
cache13–90.0230%26 Jun →
train13–80.0440%18 Jun →
nuke13–80.1121%14 Jun →
anubis11–130.0425%14 Jun →
nuke5–130.0229%14 Jun →
nuke13–10.1924%8 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.