happo-eero

happo-eero — CS2 Stats

76561198810968072[U:1:850702344]Steam profile ↗✓ No bans

345Tracked matches31%Win rate2021Tracked since
CSDB Rating3.2 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 345
−3.4ppWin rate · 34.5% → 31.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 56 days played since 27 Jul 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,889 +431 15 Nov18 Nov · 3 days played
4,4584,999peak 4,99915 Nov18 Nov
4,999Peak Premier in tracked matches
56Days played since 2023-07-27

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

Performance scores

Aim49
Positioning24
Utility29

0–100 skill scores via Leetify.

Recent form

COLD444511Last 10044%Win rateLWWLLTLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · −109ms 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

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 505ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 552ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim4.9
Utility2.9
Positioning2.4
Opening Duels0.0

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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 664ms 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

Aim4.9
Positioning2.4
Utility2.9
Mechanics5.3
Opening Duels0.0
Win Impact0.0

Composite 3.2/10 (Learning), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time634ms−50ms
first ⅓ avg 684ms → last ⅓ avg 634ms
Headshot accuracy19.7%+0.9%
first ⅓ avg 18.8% → last ⅓ avg 19.7%

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.

Personal bests

0.17Best match rating · 9–1 · vertigo, 20 Nov
100%Best headshot accuracy · 0–9 · inferno, 28 May
375msFastest reaction time · 0–4 · mirage, 14 Mar
13–1Biggest win · inferno, 9 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
35In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 67% over 6overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC30131743%-0.01
nukeC125742%0.00
vertigoA117464%0.01
infernoA116555%-0.01
ancientA74357%-0.01
overpassD61517%-0.01
dust2S64267%-0.00
trainA53260%0.06
cache4040%-0.05
anubis41325%0.01
office3030%-0.07
jura1010%-0.06

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
29.9%Accuracy (enemy spotted)
35.4%Spray accuracy
74.0%Counter-strafing
10.7°Preaim
664msReaction time
17.6%T opening success
14.9%CT opening success
0.46Enemies flashed / flash
3.9%Flash assists
9.11HE damage / grenade
5.66Flashes / 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 0.4637 — 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 17.6024% — below the 40% mark we flag

Spend your practice time on Overpass

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0733%15 Sept
vertigo13–5-0.0324%26 Aug
mirage13–5-0.0320%21 Aug
overpass0–4-0.010%21 Aug
cache5–13-0.0318%21 Aug
ancient15–15-0.0514%19 Aug
mirage11–13-0.0916%19 Aug
inferno6–13-0.0321%19 Aug
cache8–13-0.0114%19 Aug
nuke8–1-0.015%19 Aug
train13–40.0419%19 Aug
cache1–13-0.0224%13 Aug
mirage10–13-0.0719%11 Aug
mirage13–40.0348%11 Aug
mirage8–13-0.0120%10 Aug
nuke6–13-0.068%10 Aug
vertigo9–130.0523%24 Jun
mirage7–130.0314%24 Jun
cache0–13-0.130%24 Jun
vertigo13–7-0.0624%22 Mar
office7–13-0.0513%22 Mar
nuke5–13-0.0635%27 Feb
mirage13–50.0112%19 Jun
jura3–13-0.063%7 Jun
ancient11–130.0325%6 Jun
train11–130.0423%30 May
mirage10–130.0225%29 May
overpass0–8-0.0433%26 May
nuke13–11-0.0126%15 May
dust213–90.0216%12 May
ancient13–20.0629%12 May
nuke12–120.0217%17 Apr
dust20–13-0.0427%31 Mar
dust213–70.0231%27 Mar
mirage12–12-0.0311%26 Mar
anubis13–100.0412%21 Mar
ancient13–3-0.0111%21 Mar
dust213–40.0025%21 Mar
dust213–30.0613%21 Mar
nuke13–50.0322%21 Mar
mirage14–160.017%21 Mar
mirage0–4-0.0540%14 Mar
train12–120.0517%15 Feb
anubis8–13-0.0412%15 Feb
nuke13–20.1322%15 Feb
train13–20.0813%17 Nov
train13–50.0921%15 Nov
dust29–13-0.0820%21 Oct
nuke12–120.0225%11 Oct
mirage13–7-0.0217%26 Sept
anubis10–13-0.0118%24 Aug
inferno1–9-0.1129%1 Aug
overpass0–8-0.0142%29 Jun
vertigo6–13-0.0219%28 May
vertigo1–7-0.120%28 May
inferno0–9-0.23100%28 May
mirage12–12-0.0528%28 May
inferno13–90.0119%19 May
mirage1–13-0.0326%17 Apr
vertigo13–100.0128%17 Apr
mirage13–30.0118%16 Apr
overpass9–60.0920%16 Apr
inferno1–13-0.0629%16 Apr
nuke13–80.0418%9 Apr
office1–9-0.120%9 Apr
overpass12–12-0.027%9 Apr
inferno13–10.089%9 Apr
mirage13–110.0422%9 Apr
mirage13–2-0.0418%28 Mar
mirage12–12-0.0518%23 Mar
mirage13–40.0811%22 Mar
mirage13–1-0.0112%22 Mar
mirage4–13-0.0314%2 Dec
mirage5–13-0.0120%2 Dec
nuke4–9-0.0536%29 Nov
overpass4–9-0.119%24 Nov
mirage6–1-0.0436%24 Nov
inferno9–20.1219%20 Nov
vertigo9–10.1736%20 Nov
inferno8–13-0.0722%18 Nov
inferno13–80.0812%16 Nov
mirage13–40.0214%16 Nov
vertigo12–12-0.0413%15 Nov
office12–12-0.0423%15 Nov
anubis3–130.0410%15 Nov
mirage13–60.0311%13 Nov
mirage4–13-0.049%13 Nov
nuke15–150.0320%28 Sept
mirage6–130.0116%28 Sept
ancient13–11-0.0016%15 Sept
mirage7–9-0.0525%15 Sept
mirage1–13-0.1014%3 Sept
vertigo13–70.0011%3 Sept
vertigo9–00.1231%3 Sept
ancient2–9-0.0714%3 Sept
mirage13–40.0832%2 Sept
vertigo13–20.0715%2 Sept
ancient16–10-0.019%1 Sept
inferno9–30.0529%16 Aug
inferno9–60.0225%27 Jul

Match data via Leetify.

Recent teammates

Milestones

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