Rember Happy Day

Rember Happy Day — CS2 Stats

76561198080834369[U:1:120568641]Steam profile ↗✓ No bans

1,261Tracked matches46%Win rate2020Tracked since
CSDB Rating4.9 DevelopingOpening Duellist
Ladder ranks via Leetify

Performance scores

Aim54
Positioning62
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateLWLWLWTWLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · −52ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 539ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 554ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 580ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim5.4
Utility2.9
Positioning6.2
Opening Duels6.4

Limited utility dependence

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

s1mple

Plays most like s1mple 76% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 574ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning6.2
Utility2.9
Mechanics3.5
Opening Duels6.7
Win Impact3.8

Composite 4.9/10 (Developing), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time575ms−78ms
first ⅓ avg 653ms → last ⅓ avg 575ms
Headshot accuracy15.1%+2.8%
first ⅓ avg 12.3% → last ⅓ avg 15.1%

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

0.23Best match rating · 7–1 · cache, 20 Aug →
33%Best headshot accuracy · 13–5 · office, 18 Aug →
359msFastest reaction time · 5–13 · office, 5 Nov →
13–0Biggest win · inferno, 17 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
officeB2010–1050%0.03
nukeA149–564%0.04
cacheC125–742%0.04
infernoB115–645%0.03
dust2C114–736%0.01
mirageD92–722%0.03
boulderC52–340%0.02
vertigo—41–325%0.03
ancient—41–325%0.03
anubis—30–30%0.02
train—21–150%0.07
italy—21–150%-0.06
fachwerk—10–10%-0.01
shelter—11–0100%-0.10
stronghold—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage 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.

15.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
34.9%Spray accuracy
65.6%Counter-strafing
9.8°Preaim
574msReaction time
51.6%T opening success
62.2%CT opening success
0.28Enemies flashed / flash
3.1%Flash assists
12.47HE damage / grenade
0.88Flashes / 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 0.2785 — below the 0.5 mark we flag

    Grenade Lineups →
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office5–13-0.0414%5 Nov →
inferno13–90.0113%5 Nov →
dust21–13-0.0216%5 Nov →
office13–70.1311%2 Nov →
cache8–13-0.0212%2 Nov →
nuke13–70.0419%2 Nov →
nuke12–12-0.0218%11 Sept →
inferno13–30.0916%10 Sept →
dust211–13-0.0012%10 Sept →
inferno13–60.0713%6 Sept →
office13–70.0520%6 Sept →
office10–13-0.0413%22 Aug →
inferno12–120.039%22 Aug →
mirage13–100.0920%20 Aug →
cache7–10.2313%20 Aug →
inferno1–130.0311%19 Aug →
vertigo8–130.059%18 Aug →
train13–30.0531%18 Aug →
office13–50.0933%18 Aug →
anubis2–13-0.068%18 Aug →
mirage8–130.0218%17 Aug →
inferno13–00.0723%17 Aug →
cache1–13-0.0715%17 Aug →
office2–13-0.0312%17 Aug →
anubis5–130.1014%14 Aug →
boulder11–130.0623%14 Aug →
office13–60.0719%13 Aug →
cache13–90.0810%12 Aug →
inferno7–13-0.027%12 Aug →
mirage9–13-0.0211%12 Aug →
office13–8-0.048%11 Aug →
office12–120.0011%11 Aug →
cache11–130.0818%10 Aug →
boulder6–13-0.038%10 Aug →
nuke13–70.0319%9 Aug →
mirage6–130.1319%9 Aug →
inferno9–130.019%6 Aug →
cache4–130.0513%6 Aug →
dust28–6-0.0111%6 Aug →
mirage3–13-0.0611%6 Aug →
inferno13–90.037%6 Aug →
office13–70.0326%5 Aug →
boulder13–80.1314%5 Aug →
dust213–100.017%5 Aug →
ancient13–90.0721%4 Aug →
fachwerk10–13-0.0116%4 Aug →
boulder7–1-0.020%4 Aug →
vertigo13–100.0213%4 Aug →
office12–12-0.0111%3 Aug →
dust213–8-0.0316%3 Aug →
office10–130.059%2 Aug →
ancient9–130.0811%2 Aug →
cache13–100.0915%2 Aug →
nuke13–90.0312%2 Aug →
vertigo3–130.0816%2 Aug →
dust212–120.0318%30 Jul →
mirage6–130.0315%20 Jul →
italy13–4-0.059%20 Jul →
nuke9–130.0719%20 Jul →
office13–70.1514%20 Jul →
anubis12–120.0110%20 Jul →
train5–130.0813%19 Jul →
cache8–13-0.014%19 Jul →
mirage5–130.0114%19 Jul →
dust25–13-0.0316%19 Jul →
boulder12–12-0.0313%19 Jul →
nuke13–60.067%18 Jul →
office13–10.1210%18 Jul →
nuke13–110.039%18 Jul →
cache4–13-0.009%18 Jul →
office9–130.0316%18 Jul →
shelter13–10-0.1016%18 Jul →
office13–80.0117%16 Jul →
nuke13–50.0824%16 Jul →
nuke4–13-0.0114%16 Jul →
cache3–130.0310%15 Jul →
inferno12–120.0914%2 Jul →
nuke13–80.0816%2 Jul →
dust26–130.0618%2 Jul →
ancient4–13-0.018%2 Jul →
italy3–13-0.066%1 Jul →
nuke13–70.127%1 Jul →
mirage13–80.0510%1 Jul →
cache13–9-0.026%1 Jul →
nuke9–130.0214%29 Jun →
ancient10–13-0.046%29 Jun →
office4–130.0014%29 Jun →
mirage6–130.0115%28 Jun →
vertigo1–13-0.0520%28 Jun →
stronghold13–80.077%28 Jun →
dust212–120.037%28 Jun →
nuke13–100.0419%28 Jun →
office11–13-0.0317%28 Jun →
office13–60.1714%26 Jun →
dust213–50.045%25 Jun →
office4–13-0.1117%25 Jun →
nuke7–13-0.007%25 Jun →
cache13–30.0615%25 Jun →
dust25–130.0311%24 Jun →
inferno1–13-0.089%24 Jun →

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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