L1HA

L1HA — CS2 Stats

MN76561198254035675[U:1:293769947]Steam profile ↗✓ No bans

799Tracked matches29%Win rate2020Tracked since
5,725Hours in CS24Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating4,108Grey band · top ~82.6% of ranked players (population est.)
WingmanLegendary Eagle
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: 4,108 -14,576 14 May – 11 Oct · 34 days played
4,10818,684peak 18,68414 May11 Oct
18,684Peak Premier in tracked matches
41Days played since 2026-05-14

Premier CS Rating

  • 14,576 below peak (18,684)
  • -8,465 over 30 days · declining
  • Next: Light Blue band at 5,000 — 892 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate48.6%38.2%39.9%above
Shot accuracy17.5%3.6%7.0%above
Kill/death ratio0.870.830.920.04 short
Match win rate47.1%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGL1HAPREMIER4,108 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

COLD32–62–6Last 10032%Win rateLLLLWWLTLT

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +2.3pp headshot accuracy · +44ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 715ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 670ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 648ms

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 (+1.7 against its own average).

Aim6.9
Utility5.4
Positioning5.4
Opening Duels2.0
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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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. 629ms 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

Aim6.9
Positioning5.4
Utility5.4
Mechanics6.1
Opening Duels2.7
Win Impact0.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time625ms+42ms
first ⅓ avg 584ms → last ⅓ avg 625ms
Headshot accuracy23.6%+3.8%
first ⅓ avg 19.7% → last ⅓ avg 23.6%

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 · 13–3 · mirage, 3 Oct →
67%Best headshot accuracy · 10–13 · nuke, 6 Sept →
430msFastest reaction time · 5–13 · inferno, 14 Aug →
13–2Biggest win · inferno, 22 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L4Current streak
3–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 50% over 12anubisWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC218–1338%0.00
nukeD175–1229%-0.01
dust2D144–1029%-0.02
ancientC145–936%-0.01
infernoB126–650%0.01
mirageD122–1017%0.00
anubisD91–811%-0.01
train—11–0100%0.07

Across the last 100 tracked matches.

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

Lifetime stats

149,689Lifetime kills
0.87K/D · Top 50% of Grey band
6,375Matches
47.1%Match win rate · Top 10% of Grey band
48.6%Headshot % · Top 25% of Grey band
17.5%Shot accuracy · Top 5% of Grey band
14,958MVPs
4,018Hours (in match)
6,065Bombs planted
1,720Bombs defused

Most-used weapons

AK-4749,563
AWP21,398
P2504,417
SSG 083,056
Knife2,808
SG 5532,570

Lifetime map wins

11,827dust2
10,795inferno
6,886train
6,499nuke
2,276cbble
831vertigo
137office
82lake

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

Faceit stats

Combat

2,062Matches
50%Win rate
1.06Avg K/D
67.1ADR
40%Headshot %

Clutches & streaks

31%1v1 clutch win
14%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3256%1.0014.3
Anubis3256%0.9013.3
Ancient2741%0.9916.0
Nuke2348%0.9113.4
Dust22055%0.8914.8
Inferno1331%0.9312.2
Cache1155%0.7412.9
Train650%0.7310.3

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.

23.5%Headshot accuracy
34.7%Accuracy (enemy spotted)
37.9%Spray accuracy
77.2%Counter-strafing
10.7°Preaim
629msReaction time
38.4%T opening success
43.5%CT opening success
0.62Enemies flashed / flash
7.0%Flash assists
9.02HE damage / grenade
7.76Flashes / 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 38.4036% — below the 40% mark we flag

Spend your practice time on Anubis

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

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–130.0624%11 Oct →
dust25–13-0.0423%10 Oct →
dust28–13-0.0034%10 Oct →
anubis7–13-0.0114%10 Oct →
inferno13–100.0525%9 Oct →
nuke13–90.0326%9 Oct →
mirage4–13-0.0029%9 Oct →
nuke15–150.0330%7 Oct →
mirage10–13-0.0128%7 Oct →
mirage15–15-0.0412%5 Oct →
nuke13–30.0828%5 Oct →
inferno10–130.0629%5 Oct →
mirage7–130.0733%4 Oct →
cache11–130.0618%4 Oct →
inferno13–90.0317%3 Oct →
nuke11–13-0.0114%3 Oct →
mirage2–13-0.0123%3 Oct →
mirage13–30.1419%3 Oct →
dust28–13-0.0137%1 Oct →
ancient2–13-0.085%1 Oct →
ancient16–130.0516%30 Sept →
nuke9–13-0.0538%30 Sept →
inferno13–100.058%29 Sept →
anubis3–130.0447%29 Sept →
ancient6–13-0.0124%29 Sept →
nuke5–13-0.0415%29 Sept →
dust24–13-0.0924%28 Sept →
dust27–13-0.0629%28 Sept →
cache4–13-0.0124%27 Sept →
cache13–3-0.0522%27 Sept →
cache9–130.0024%26 Sept →
ancient15–150.0316%26 Sept →
anubis14–160.0524%26 Sept →
nuke9–130.0010%26 Sept →
cache13–80.0125%26 Sept →
mirage10–13-0.0439%25 Sept →
ancient15–15-0.0653%25 Sept →
inferno13–20.0831%22 Sept →
nuke6–130.0441%22 Sept →
ancient7–130.0028%19 Sept →
inferno13–70.0315%19 Sept →
ancient13–16-0.0315%18 Sept →
nuke13–10-0.0436%17 Sept →
inferno10–130.0123%15 Sept →
inferno11–13-0.0121%13 Sept →
dust213–40.0524%13 Sept →
nuke7–13-0.0725%13 Sept →
cache16–130.0131%10 Sept →
ancient7–13-0.0129%10 Sept →
cache13–80.0418%9 Sept →
train13–100.0733%9 Sept →
cache11–130.0131%8 Sept →
dust29–13-0.0914%8 Sept →
nuke8–13-0.0524%7 Sept →
mirage13–11-0.0913%7 Sept →
cache10–13-0.0918%7 Sept →
dust211–130.0129%7 Sept →
nuke10–130.0367%6 Sept →
nuke13–8-0.0532%5 Sept →
dust29–13-0.0228%5 Sept →
ancient16–12-0.0020%5 Sept →
cache2–13-0.0229%5 Sept →
cache14–16-0.0233%4 Sept →
dust215–150.0427%4 Sept →
ancient13–100.0221%4 Sept →
dust213–11-0.0524%1 Sept →
anubis8–130.0214%1 Sept →
inferno4–13-0.0623%31 Aug →
anubis7–13-0.079%31 Aug →
cache1–13-0.050%31 Aug →
nuke11–13-0.0139%30 Aug →
ancient2–7-0.140%29 Aug →
anubis9–130.0117%29 Aug →
cache8–130.0928%29 Aug →
anubis4–13-0.0712%29 Aug →
cache12–16-0.0325%28 Aug →
ancient13–80.0123%28 Aug →
mirage10–130.0814%28 Aug →
dust213–6-0.0018%28 Aug →
anubis10–13-0.0213%28 Aug →
cache13–80.0220%27 Aug →
mirage8–13-0.060%27 Aug →
mirage8–130.0120%27 Aug →
anubis13–7-0.0126%25 Aug →
ancient8–130.0022%25 Aug →
mirage8–13-0.0117%24 Aug →
inferno13–11-0.0113%24 Aug →
cache7–13-0.0410%24 Aug →
dust213–7-0.0123%24 Aug →
ancient13–90.0629%16 Aug →
cache13–60.1026%14 Aug →
inferno5–13-0.0516%14 Aug →
nuke6–13-0.0510%14 Aug →
cache13–30.0160%12 Aug →
nuke13–90.0523%12 Aug →
cache13–6-0.0320%11 Aug →
inferno10–10-0.0329%11 Aug →
nuke7–13-0.0823%17 May →
cache1–13-0.0135%17 May →
dust215–15-0.0210%14 May →

Match data via Leetify.

Recent teammates

Milestones

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

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