La Hyène

La Hyène — CS2 Stats

IN76561198404210140[U:1:443944412]Steam profile ↗✓ No bans

2,318Tracked matches43%Win rate2021Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating6,150Light Blue band · top ~73.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+1150Premier CS Rating · 5,000 → 6,150

Rating over time

Premier CS Rating: 6,150 +891 20 Sept – 5 Nov · 27 days played
5,0009,249peak 9,24920 Sept5 Nov
9,394Peak Premier in tracked matches
26Days played since 2026-09-20

Premier CS Rating

  • 3,099 below peak (9,249)
  • +615 over 30 days · improving
  • Next: Blue band at 10,000 — 3,850 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-20

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

Share this profile

CSDB.GGLa HyèneFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,150 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

HOT42–50–8Last 10042%Win rateWWWLLWWWLW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −114ms reaction

Win rate up 60pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 8%
  • Avg reaction 441ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 509ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 566ms

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 (+1.1 against its own average).

Aim7.3
Utility5.8
Positioning5.0
Opening Duels2.8
Clutch5.0

Strong CT-side opener

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 578ms 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

Aim7.3
Positioning5.0
Utility5.8
Mechanics8.3
Opening Duels3.6
Win Impact2.8

Composite 5.4/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time561ms−52ms
first ⅓ avg 613ms → last ⅓ avg 561ms
Headshot accuracy9.0%−0.1%
first ⅓ avg 9.1% → last ⅓ avg 9.0%

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

0.12Best match rating · 13–4 · dust2, 11 Oct →
27%Best headshot accuracy · 16–12 · nuke, 21 Oct →
461msFastest reaction time · 5–13 · ancient, 2 Nov →
13–0Biggest win · nuke, 5 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
9–5In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 67% over 12mirageWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.02
infernoD217–1433%0.00
mirageD174–1324%-0.02
nukeS128–467%0.02
ancientC125–742%0.00
cacheD93–633%-0.03
anubisB63–350%0.01
train—10–10%-0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (24% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches
42%Win rate
1.07Avg K/D
80.2ADR
32%Headshot %

Clutches & streaks

45%1v1 clutch win
35%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21650%1.3017.0
Mirage1421%0.9613.9
Ancient922%0.9613.7
Nuke771%1.1717.0
Anubis580%0.8410.8
Inferno580%1.2915.4
Cache20%0.8612.5
Overpass10%1.0814.0

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.

9.4%Headshot accuracy
39.4%Accuracy (enemy spotted)
37.6%Spray accuracy
87.6%Counter-strafing
9.6°Preaim
578msReaction time
39.3%T opening success
49.2%CT opening success
0.52Enemies flashed / flash
5.2%Flash assists
8.59HE damage / grenade
9.96Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.4485% — below the 15% mark we flag

    Aim Training →
  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 39.3345% — below the 40% mark we flag

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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0514%5 Nov →
nuke13–0-0.029%5 Nov →
nuke13–50.067%5 Nov →
dust26–13-0.0810%3 Nov →
mirage0–80.000%3 Nov →
ancient13–40.1013%3 Nov →
dust213–11-0.0711%3 Nov →
dust213–8-0.036%2 Nov →
anubis10–13-0.009%2 Nov →
inferno13–1-0.038%2 Nov →
ancient5–130.0019%2 Nov →
dust22–13-0.083%2 Nov →
mirage7–13-0.113%2 Nov →
mirage6–130.040%1 Nov →
mirage13–100.0410%1 Nov →
ancient9–13-0.0312%1 Nov →
ancient8–130.0514%1 Nov →
inferno8–13-0.049%1 Nov →
cache8–13-0.035%1 Nov →
dust23–130.0013%1 Nov →
mirage8–13-0.042%29 Oct →
ancient16–12-0.008%29 Oct →
inferno5–13-0.0111%29 Oct →
dust213–9-0.022%29 Oct →
mirage8–13-0.0311%28 Oct →
inferno13–11-0.0323%28 Oct →
ancient9–13-0.0320%26 Oct →
dust213–10-0.046%26 Oct →
ancient13–80.047%26 Oct →
ancient8–130.006%25 Oct →
inferno15–150.1011%25 Oct →
inferno7–13-0.038%25 Oct →
inferno14–16-0.017%24 Oct →
cache5–130.0212%24 Oct →
inferno7–13-0.085%24 Oct →
inferno13–110.0510%24 Oct →
inferno11–13-0.019%24 Oct →
nuke13–10-0.078%24 Oct →
cache7–13-0.044%23 Oct →
dust22–13-0.0610%23 Oct →
dust24–13-0.0419%23 Oct →
inferno1–13-0.0021%23 Oct →
mirage0–13-0.110%23 Oct →
inferno15–150.0214%22 Oct →
dust213–80.0317%22 Oct →
nuke11–13-0.025%22 Oct →
dust213–50.0011%22 Oct →
ancient13–8-0.035%22 Oct →
inferno13–110.019%21 Oct →
nuke14–160.0211%21 Oct →
anubis4–13-0.0519%21 Oct →
nuke16–12-0.0327%21 Oct →
inferno13–110.0110%21 Oct →
dust213–60.009%21 Oct →
ancient13–70.0117%21 Oct →
dust28–130.045%21 Oct →
anubis13–60.055%21 Oct →
cache2–13-0.0510%20 Oct →
inferno6–13-0.074%20 Oct →
mirage7–13-0.099%19 Oct →
dust213–6-0.016%18 Oct →
mirage13–110.014%18 Oct →
cache7–13-0.075%18 Oct →
mirage15–150.019%18 Oct →
nuke10–130.0711%17 Oct →
mirage6–13-0.0410%17 Oct →
dust24–13-0.063%16 Oct →
anubis10–13-0.023%16 Oct →
mirage13–9-0.058%16 Oct →
dust211–13-0.065%16 Oct →
mirage13–4-0.027%16 Oct →
dust213–9-0.086%16 Oct →
dust213–11-0.059%16 Oct →
cache13–9-0.057%16 Oct →
inferno8–13-0.0014%16 Oct →
nuke10–130.074%15 Oct →
mirage13–160.029%15 Oct →
cache13–11-0.0118%15 Oct →
cache13–8-0.0210%14 Oct →
ancient15–15-0.036%14 Oct →
inferno12–16-0.017%14 Oct →
dust26–13-0.0110%13 Oct →
nuke16–120.0110%13 Oct →
inferno10–130.0211%13 Oct →
nuke13–50.0416%13 Oct →
cache7–13-0.045%12 Oct →
inferno13–70.099%12 Oct →
train12–12-0.0515%12 Oct →
dust213–40.1221%11 Oct →
mirage15–150.0311%11 Oct →
ancient0–13-0.0611%11 Oct →
dust213–10-0.022%11 Oct →
mirage3–13-0.0714%10 Oct →
nuke13–100.059%10 Oct →
dust215–150.0111%9 Oct →
mirage9–13-0.026%8 Oct →
anubis13–110.033%8 Oct →
inferno15–150.0110%7 Oct →
nuke13–10.047%7 Oct →
inferno13–40.1010%7 Oct →

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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