H4pPo

H4pPo — CS2 Stats

76561198324837026[U:1:364571298]Steam profile ↗✓ No bans

1,011Tracked matches53%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating23,442Top 25% of 204,219 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)
CSDB Leaderboard#37151 of 251279 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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: 23,442 +706 9 May – 11 Oct · 32 days played
21,84024,565peak 24,5659 May11 Oct
24,565Peak Premier in tracked matches
51Days played since 2026-04-06

Premier CS Rating

  • 1,123 below peak (24,565)
  • -452 over 30 days · declining
  • Next: Red band at 25,000 — 1,558 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-04
  • Purple band first seen 2026-10-04

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

Share this profile

CSDB.GGH4pPoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,442 · Pink bandcsdb.gg/stats

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Performance scores

Aim59
Positioning47
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY37–61–2Last 10037%Win rateWLWLWWLWWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.9pp headshot accuracy · +4ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 564ms

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 (+2.7 against its own average).

Aim5.9
Utility6.3
Positioning4.7
Opening Duels1.1
Clutch2.2

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

Twistzz

Plays most like Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 596ms 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

Aim5.9
Positioning4.7
Utility6.3
Mechanics5.7
Opening Duels1.0
Win Impact6.1

Composite 5.3/10 (Developing), 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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time594ms−33ms
first ⅓ avg 627ms → last ⅓ avg 594ms
Headshot accuracy19.3%+0.8%
first ⅓ avg 18.5% → last ⅓ avg 19.3%

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

0.13Best match rating · 13–5 · nuke, 9 May →
38%Best headshot accuracy · 5–13 · dust2, 20 Sept →
375msFastest reaction time · 0–13 · nuke, 27 Sept →
13–2Biggest win · mirage, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 67% over 12infernoWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeC207–1335%0.01
cacheC208–1240%0.01
ancientD155–1033%-0.01
mirageS128–467%0.01
infernoD111–109%0.01
dust2B105–550%-0.00
anubisC83–538%-0.00
overpass—40–40%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

408Matches
53%Win rate
1.04Avg K/D
75.8ADR
46%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2556%0.9315.2
Ancient2268%1.1715.3
Anubis1963%1.0816.0
Dust21520%0.7411.7
Nuke1457%0.9715.4
Inferno1275%1.2618.3
Overpass667%1.2814.2
Train367%0.6411.0

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.

19.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.3%Spray accuracy
75.5%Counter-strafing
11.3°Preaim
596msReaction time
30.6%T opening success
37.6%CT opening success
0.59Enemies flashed / flash
6.7%Flash assists
8.97HE damage / grenade
8.87Flashes / 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 30.609% — 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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.0315%11 Oct →
cache12–16-0.0116%11 Oct →
ancient13–10-0.0215%10 Oct →
nuke7–13-0.0119%10 Oct →
ancient13–70.0111%9 Oct →
nuke13–110.0620%9 Oct →
mirage10–130.0016%7 Oct →
nuke13–11-0.0429%4 Oct →
mirage13–11-0.0215%4 Oct →
dust25–13-0.0516%4 Oct →
mirage13–40.0923%2 Oct →
dust213–110.0427%2 Oct →
nuke4–130.0124%2 Oct →
dust27–13-0.0317%1 Oct →
cache13–100.0918%1 Oct →
anubis13–9-0.0216%30 Sept →
dust213–50.0714%30 Sept →
cache7–130.0617%29 Sept →
cache13–90.0214%28 Sept →
nuke0–13-0.1233%27 Sept →
nuke10–13-0.0227%25 Sept →
cache6–13-0.0017%22 Sept →
dust24–130.0125%21 Sept →
dust25–13-0.0938%20 Sept →
nuke8–13-0.0130%19 Sept →
dust213–60.0317%19 Sept →
mirage13–11-0.0413%19 Sept →
cache11–130.0419%19 Sept →
mirage13–20.0118%19 Sept →
dust213–8-0.0213%19 Sept →
mirage8–13-0.0412%18 Sept →
nuke6–130.0117%18 Sept →
anubis1–13-0.0917%18 Sept →
ancient9–130.0419%18 Sept →
ancient3–130.0619%18 Sept →
mirage16–140.0719%18 Sept →
inferno3–13-0.0622%18 Sept →
inferno13–16-0.0114%17 Sept →
inferno6–130.0421%17 Sept →
cache9–130.0617%13 Sept →
inferno4–130.0730%8 Sept →
ancient3–130.0220%7 Sept →
inferno7–130.0122%7 Sept →
nuke8–130.0533%6 Sept →
ancient6–13-0.0521%6 Sept →
ancient13–100.0614%3 Sept →
nuke9–130.0721%3 Sept →
dust213–100.0013%30 Aug →
anubis8–130.0415%30 Aug →
cache13–4-0.0126%29 Aug →
mirage5–13-0.0424%29 Aug →
nuke10–4-0.0423%29 Aug →
nuke13–90.0619%29 Aug →
inferno8–13-0.0229%29 Aug →
anubis13–110.0210%27 Aug →
cache8–1-0.0233%27 Aug →
inferno5–130.0122%27 Aug →
mirage13–60.0218%26 Aug →
nuke7–13-0.0418%9 Aug →
cache16–12-0.0413%8 Aug →
ancient13–16-0.0414%8 Aug →
cache15–15-0.0119%8 Aug →
mirage13–80.0310%27 May →
overpass7–130.0315%26 May →
nuke4–13-0.0228%25 May →
ancient10–13-0.0213%25 May →
mirage13–70.0618%24 May →
dust211–130.0116%23 May →
anubis1–13-0.0712%23 May →
overpass14–16-0.0116%23 May →
anubis9–13-0.0318%23 May →
overpass9–130.0120%22 May →
inferno6–13-0.039%22 May →
cache11–130.0223%21 May →
cache13–6-0.0222%19 May →
cache7–130.0216%18 May →
inferno1–130.0215%17 May →
cache13–80.0231%17 May →
overpass9–13-0.0421%15 May →
mirage8–13-0.028%15 May →
cache13–90.0220%14 May →
cache5–13-0.0422%12 May →
cache2–13-0.0116%12 May →
cache4–13-0.0227%11 May →
anubis13–60.1123%10 May →
inferno13–70.0710%9 May →
ancient11–130.018%9 May →
nuke13–50.1323%9 May →
ancient13–7-0.0430%9 May →
ancient10–20.0121%7 May →
nuke13–100.029%7 May →
nuke13–160.0419%5 May →
inferno3–13-0.0410%5 May →
nuke4–130.0127%5 May →
anubis3–130.0016%4 May →
ancient1–13-0.0918%4 May →
cache9–130.0420%30 Apr →
ancient2–13-0.0732%26 Apr →
ancient4–130.0422%26 Apr →
nuke15–15-0.0214%6 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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