Gate Keeping Happiness

Gate Keeping Happiness — CS2 Stats

76561198262575985[U:1:302310257]Steam profile ↗✓ No bans

2,284Tracked matches56%Win rate2020Tracked since
3,171Hours in CS18Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
CSDB Leaderboard#97013 of 251443 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+102Tracked matches · now 2,284
+6.0ppWin rate · 50.0% → 56.0%

Rating over time

Premier CS Rating: 18,878 +422 27 Aug – 3 Sept · 4 days played
18,45618,878peak 18,87827 Aug3 Sept
18,978Peak Premier in tracked matches
27Days played since 2026-08-27

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches80——
Win rate54%——
K/D1.06——
Headshot %54%——

Measured 11 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,649), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate44.7%43.7%44.8%meets
Shot accuracy9.8%12.0%12.4%2.6% short
Kill/death ratio1.101.021.03above
Match win rate42.5%44.7%45.2%2.7% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGate Keeping HappinessFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning69
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY52–38–10Last 10052%Win rateLLLWLWTWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.5pp headshot accuracy · −41ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 598ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 579ms

Last 20

  • 8–7–5 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 599ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim7.7
Utility5.8
Positioning6.9
Opening Duels5.0
Clutch6.4

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

jL

Plays most like jL 90% 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

Strengths

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 69% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 601ms 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

Aim7.7
Positioning6.9
Utility5.8
Mechanics6.8
Opening Duels7.4
Win Impact7.0

Composite 7.0/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time596ms+44ms
first ⅓ avg 552ms → last ⅓ avg 596ms
Headshot accuracy25.6%−7.4%
first ⅓ avg 33.0% → last ⅓ avg 25.6%

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

0.14Best match rating · 13–11 · train, 6 Sept →
100%Best headshot accuracy · 0–13 · dust2, 28 Aug →
313msFastest reaction time · 0–13 · dust2, 28 Aug →
13–1Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
4–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 69% over 13nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB179–853%0.01
mirageC146–843%-0.00
officeB147–750%0.03
dust2B136–746%0.01
cacheS139–469%0.02
nukeD123–925%-0.00
anubisA117–464%-0.01
train—32–167%0.03
overpass—33–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,128Lifetime kills
1.10K/D · Top 50% of Level 5 players
4,594Matches
42.5%Match win rate
44.7%Headshot % · Top 50% of Level 5 players
9.8%Shot accuracy
9,098MVPs
1,759Hours (in match)
3,961Bombs planted
1,012Bombs defused

Most-used weapons

AK-4727,023
AWP18,729
SSG 081,895
P2501,360
FAMAS1,327

Lifetime map wins

11,616dust2
3,331inferno
3,195nuke
1,208office
890train
727vertigo
127assault
98italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

31Matches
55%Win rate
1.38Avg K/D
81.2ADR
49%Headshot %

Clutches & streaks

52%1v1 clutch win
11%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage944%1.8017.6
Dust2838%1.3714.6
Anubis540%1.0820.6
Inferno475%1.3217.5
Vertigo2100%1.0019.5
Ancient1100%1.3822.0
Cache1100%0.7710.0
Nuke1100%0.8815.0

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.

25.8%Headshot accuracy
32.5%Accuracy (enemy spotted)
31.3%Spray accuracy
80.8%Counter-strafing
7.8°Preaim
601msReaction time
68.9%T opening success
50.3%CT opening success
0.60Enemies flashed / flash
7.5%Flash assists
11.87HE damage / grenade
6.74Flashes / match

Recommended for you

Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0214%11 Oct →
nuke3–130.0222%11 Oct →
dust29–130.0528%11 Oct →
dust213–90.0413%11 Oct →
dust211–130.0426%8 Oct →
nuke13–80.0129%8 Oct →
mirage12–120.0142%8 Oct →
dust213–70.1019%8 Oct →
anubis13–10-0.0229%7 Oct →
inferno13–110.0419%7 Oct →
dust213–60.0919%7 Oct →
office12–120.0723%7 Oct →
inferno12–12-0.0124%6 Oct →
mirage8–130.0129%6 Oct →
office11–130.0130%3 Oct →
dust213–8-0.0333%3 Oct →
inferno12–12-0.0720%3 Oct →
nuke7–130.0433%3 Oct →
mirage12–12-0.0325%2 Oct →
mirage13–40.0029%2 Oct →
nuke4–130.0026%2 Oct →
office10–13-0.0526%2 Oct →
inferno13–10-0.0424%1 Oct →
nuke13–6-0.0231%1 Oct →
dust213–100.0620%1 Oct →
mirage6–13-0.0136%1 Oct →
nuke6–13-0.0115%28 Sept →
cache13–100.0632%23 Sept →
inferno8–20.0220%23 Sept →
cache13–110.0935%21 Sept →
office13–80.0238%21 Sept →
inferno10–13-0.0133%20 Sept →
cache3–13-0.094%20 Sept →
mirage13–11-0.0225%20 Sept →
train13–8-0.0229%20 Sept →
dust213–7-0.0223%20 Sept →
inferno13–40.1332%20 Sept →
mirage13–10.0931%20 Sept →
overpass13–60.0527%19 Sept →
nuke13–10-0.0145%19 Sept →
inferno5–130.0132%19 Sept →
cache13–80.0139%19 Sept →
anubis13–80.0121%19 Sept →
inferno13–6-0.0018%19 Sept →
anubis11–13-0.0347%18 Sept →
inferno13–70.0031%18 Sept →
anubis13–5-0.0042%18 Sept →
mirage13–50.0533%18 Sept →
mirage4–13-0.0325%18 Sept →
dust27–13-0.0724%17 Sept →
anubis9–13-0.0117%17 Sept →
overpass13–90.0339%16 Sept →
anubis13–90.0728%16 Sept →
anubis13–7-0.0625%16 Sept →
dust211–13-0.0223%14 Sept →
anubis13–160.0027%12 Sept →
dust28–13-0.0521%11 Sept →
office7–13-0.0724%11 Sept →
cache13–8-0.0456%11 Sept →
mirage12–12-0.0623%11 Sept →
overpass13–10-0.0114%11 Sept →
nuke5–13-0.0135%11 Sept →
inferno13–30.0436%11 Sept →
office10–13-0.0715%10 Sept →
office13–30.1239%10 Sept →
inferno6–13-0.0514%10 Sept →
nuke12–12-0.0421%10 Sept →
cache13–60.0236%10 Sept →
anubis13–7-0.0235%10 Sept →
cache7–13-0.0043%6 Sept →
inferno12–12-0.0434%6 Sept →
train13–110.1439%6 Sept →
train3–13-0.0224%5 Sept →
office13–60.0535%5 Sept →
inferno13–70.0430%5 Sept →
office13–20.0623%5 Sept →
nuke6–130.0130%5 Sept →
mirage13–3-0.0635%5 Sept →
cache10–130.0230%5 Sept →
office11–130.0719%4 Sept →
office13–50.1124%4 Sept →
cache13–60.0512%4 Sept →
office13–90.0624%4 Sept →
cache10–130.0029%4 Sept →
anubis13–4-0.0126%3 Sept →
cache13–50.0465%3 Sept →
dust20–13-0.0650%3 Sept →
office8–13-0.0322%3 Sept →
inferno0–4-0.090%3 Sept →
mirage11–13-0.0423%3 Sept →
mirage6–130.0024%30 Aug →
inferno13–80.0827%30 Aug →
cache13–50.0639%29 Aug →
mirage13–100.0834%29 Aug →
inferno12–120.0728%28 Aug →
cache13–20.0432%28 Aug →
nuke9–13-0.0134%28 Aug →
office13–60.0048%28 Aug →
dust20–13-0.03100%28 Aug →
anubis15–15-0.0433%27 Aug →

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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