Liger Doods

Liger Doods — CS2 Stats

AU76561198075650559[U:1:115384831]Steam profile ↗✓ No bans

1,021Tracked matches60%Win rate2021Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating14,001Blue band · top ~33.7% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,021 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,001 -745 30 Mar – 3 Sept · 37 days played
11,66414,794peak 14,79430 Mar3 Sept
14,794Peak Premier in tracked matches
46Days played since 2026-03-30

Premier CS Rating

  • 793 below peak (14,794)
  • +485 over 30 days · improving
  • +1,591 over 90 days
  • Next: Purple band at 15,000 — 999 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-03
  • Light Blue band first seen 2026-09-03

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

Share this profile

CSDB.GGLiger DoodsFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,001 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning46
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWWWLWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +0.1pp headshot accuracy · +38ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 652ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 637ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 618ms

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 (+1.6 against its own average).

Aim6.0
Utility5.7
Positioning4.6
Opening Duels2.3
Clutch3.8

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 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.0
Positioning4.6
Utility5.7
Mechanics6.1
Opening Duels1.9
Win Impact8.3

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time622ms+19ms
first ⅓ avg 603ms → last ⅓ avg 622ms
Headshot accuracy15.3%−0.6%
first ⅓ avg 15.9% → last ⅓ avg 15.3%

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

0.09Best match rating · 5–13 · ancient, 20 Jul →
33%Best headshot accuracy · 6–2 · nuke, 27 Apr →
422msFastest reaction time · 4–13 · inferno, 25 Jul →
13–2Biggest win · inferno, 7 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 67% over 9overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC3314–1942%-0.01
infernoB158–753%-0.02
ancientC135–838%-0.02
nukeA138–562%-0.02
dust2S96–367%-0.02
anubisS64–267%-0.03
overpassD62–433%-0.04
cacheA53–260%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

66Matches
44%Win rate
0.80Avg K/D
72.3ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2245%0.7611.8
Nuke1362%0.9213.8
Inferno1030%0.7612.5
Anubis729%0.9818.3
Ancient650%0.7512.0
Vertigo450%1.0614.5
Dust2333%0.405.7

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.

15.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.2%Spray accuracy
77.5%Counter-strafing
10.4°Preaim
617msReaction time
24.6%T opening success
45.1%CT opening success
0.66Enemies flashed / flash
6.4%Flash assists
11.30HE damage / grenade
10.01Flashes / 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 24.5509% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0423%10 Aug →
ancient13–80.0221%2 Aug →
inferno13–10-0.0115%1 Aug →
ancient1–11-0.0916%31 Jul →
inferno13–9-0.0613%26 Jul →
nuke13–9-0.0120%26 Jul →
ancient3–13-0.0917%26 Jul →
cache10–13-0.0611%26 Jul →
mirage13–16-0.0413%25 Jul →
inferno4–13-0.0218%25 Jul →
ancient5–130.0916%20 Jul →
mirage10–130.0513%20 Jul →
ancient13–50.0317%20 Jul →
dust213–80.0320%20 Jul →
mirage13–8-0.0015%19 Jul →
mirage7–13-0.0825%16 Jul →
inferno13–4-0.027%16 Jul →
cache16–14-0.0118%15 Jul →
cache8–13-0.0417%15 Jul →
mirage13–30.0517%15 Jul →
nuke13–16-0.0712%14 Jul →
mirage13–3-0.069%12 Jul →
anubis13–6-0.0413%6 Jul →
ancient13–7-0.0021%6 Jul →
mirage13–70.0112%6 Jul →
mirage6–13-0.0913%4 Jul →
dust213–10-0.0113%16 Jun →
dust213–80.0320%16 Jun →
dust213–90.0312%15 Jun →
mirage4–13-0.072%7 Jun →
mirage11–13-0.029%7 Jun →
cache13–8-0.0321%6 Jun →
nuke7–130.0015%6 Jun →
dust213–6-0.0417%1 Jun →
nuke6–13-0.1022%1 Jun →
mirage13–10-0.0316%1 Jun →
anubis13–8-0.0216%1 Jun →
inferno11–13-0.0314%31 May →
ancient5–13-0.0314%31 May →
dust26–13-0.089%31 May →
ancient14–16-0.0410%30 May →
overpass8–130.007%29 May →
overpass13–11-0.056%29 May →
overpass7–13-0.084%29 May →
nuke13–10-0.0114%29 May →
nuke13–60.0023%28 May →
mirage13–16-0.053%28 May →
anubis5–13-0.078%28 May →
mirage15–15-0.0311%28 May →
anubis2–13-0.0415%28 May →
mirage13–100.0410%28 May →
nuke13–40.0616%28 May →
mirage3–13-0.023%26 May →
ancient13–10-0.0613%26 May →
nuke13–10-0.0118%26 May →
inferno13–100.0122%25 May →
mirage8–13-0.0518%25 May →
dust28–13-0.037%8 May →
inferno13–20.0122%7 May →
nuke13–60.0216%6 May →
anubis13–90.0123%4 May →
mirage13–40.0219%4 May →
mirage13–10-0.0214%3 May →
nuke5–13-0.1210%2 May →
dust213–8-0.0515%1 May →
mirage3–13-0.0316%1 May →
mirage8–13-0.0216%1 May →
inferno13–8-0.035%1 May →
cache13–100.0115%1 May →
mirage16–120.0516%29 Apr →
mirage3–13-0.059%28 Apr →
mirage15–15-0.0330%27 Apr →
ancient3–13-0.0622%27 Apr →
nuke6–2-0.0133%27 Apr →
inferno14–16-0.0115%24 Apr →
dust23–13-0.0419%24 Apr →
mirage9–130.0515%24 Apr →
nuke13–40.0023%23 Apr →
inferno2–13-0.0223%23 Apr →
mirage7–130.0024%23 Apr →
mirage13–30.0011%23 Apr →
inferno11–130.0117%22 Apr →
overpass13–9-0.038%22 Apr →
nuke9–13-0.0217%22 Apr →
inferno13–16-0.0613%19 Apr →
mirage13–7-0.0310%19 Apr →
mirage3–13-0.0213%19 Apr →
mirage10–13-0.039%16 Apr →
ancient10–130.0413%16 Apr →
anubis13–11-0.049%9 Apr →
mirage13–60.0424%9 Apr →
overpass7–13-0.0620%9 Apr →
ancient8–13-0.049%8 Apr →
inferno13–40.0122%8 Apr →
mirage5–13-0.0411%8 Apr →
mirage13–90.0817%7 Apr →
mirage13–80.0219%6 Apr →
overpass11–13-0.0419%31 Mar →
inferno10–13-0.093%31 Mar →
inferno13–11-0.049%30 Mar →

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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