Libra

Libra — CS2 Stats

TW76561197961417876[U:1:1152148]Steam profile ↗✓ No bans

2,938Tracked matches47%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating14,893Blue band · top ~29% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Nov 2026 (4 days ago). 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: 14,893 -2,418 25 Sept – 7 Nov · 9 days played
14,89318,095peak 18,09525 Sept7 Nov
18,413Peak Premier in tracked matches
25Days played since 2026-09-25

Premier CS Rating

  • 3,202 below peak (18,095)
  • Next: Purple band at 15,000 — 107 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-25
  • Blue band first seen 2026-09-25

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

Share this profile

CSDB.GGLibraFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,893 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning60
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWLLWWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.8pp headshot accuracy · +63ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 583ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 590ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

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 (+1.4 against its own average).

Aim8.1
Utility7.4
Positioning6.0
Opening Duels4.7

Effective flashes

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: opening-duel success, utility contribution.

Where you differ: 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. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 563ms 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

Aim8.1
Positioning6.0
Utility7.4
Mechanics8.1
Opening Duels6.0
Win Impact3.9

Composite 6.6/10 (Solid), 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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time557ms−9ms
first ⅓ avg 566ms → last ⅓ avg 557ms
Headshot accuracy15.2%−0.3%
first ⅓ avg 15.6% → last ⅓ avg 15.2%

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

0.18Best match rating · 13–3 · nuke, 26 Oct →
36%Best headshot accuracy · 8–0 · office, 23 Oct →
406msFastest reaction time · 1–13 · nuke, 8 Oct →
13–0Biggest win · inferno, 5 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds

Map breakdown

officeBest map · 71% over 7cacheWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA1811–761%0.02
dust2A1810–856%0.03
mirageB147–750%-0.02
cacheC135–838%-0.04
ancientA95–456%-0.03
nukeA85–363%0.03
officeS75–271%0.05
anubis—42–250%0.03
overpass—32–167%0.04
vertigo—32–167%0.02
train—20–20%0.01
italy—10–10%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

101Matches
57%Win rate
1.43Avg K/D
—ADR
47%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis450%0.6817.3
Ancient2100%1.0311.5
Inferno250%0.6810.5
Overpass1100%1.3320.0

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.

15.1%Headshot accuracy
39.7%Accuracy (enemy spotted)
40.8%Spray accuracy
86.6%Counter-strafing
9.8°Preaim
563msReaction time
61.6%T opening success
46.5%CT opening success
0.73Enemies flashed / flash
6.8%Flash assists
11.78HE damage / grenade
19.66Flashes / match

Recommended for you

Spend your practice time on Cache

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office13–100.0228%10 Nov →
train8–13-0.0620%10 Nov →
mirage9–13-0.0519%8 Nov →
inferno13–3-0.0724%8 Nov →
nuke13–50.0215%8 Nov →
ancient11–13-0.048%7 Nov →
nuke10–130.0115%7 Nov →
office13–30.088%7 Nov →
cache6–13-0.109%7 Nov →
anubis11–130.0213%7 Nov →
dust213–110.0220%7 Nov →
dust26–13-0.006%7 Nov →
inferno5–13-0.0618%7 Nov →
nuke13–20.0620%6 Nov →
cache2–13-0.1119%6 Nov →
dust27–130.0218%6 Nov →
cache11–13-0.0216%6 Nov →
anubis10–13-0.068%6 Nov →
dust213–110.0216%6 Nov →
cache13–3-0.0310%5 Nov →
dust23–13-0.0124%5 Nov →
inferno13–00.0410%5 Nov →
overpass13–110.0315%3 Nov →
inferno13–6-0.0011%3 Nov →
mirage13–3-0.066%3 Nov →
inferno13–7-0.0220%31 Oct →
mirage9–13-0.0115%31 Oct →
cache3–13-0.0514%30 Oct →
dust211–130.0115%30 Oct →
ancient13–10-0.039%30 Oct →
dust22–13-0.0420%30 Oct →
mirage13–70.0112%30 Oct →
office11–130.0120%30 Oct →
mirage13–8-0.099%27 Oct →
ancient11–13-0.0921%27 Oct →
train12–120.0914%26 Oct →
cache2–13-0.0310%26 Oct →
nuke13–30.1815%26 Oct →
inferno13–40.1520%25 Oct →
dust213–40.1229%25 Oct →
mirage13–4-0.038%25 Oct →
mirage9–13-0.0717%24 Oct →
inferno6–13-0.0223%24 Oct →
inferno4–130.0216%24 Oct →
cache13–5-0.015%24 Oct →
inferno5–13-0.054%24 Oct →
vertigo2–13-0.0229%24 Oct →
nuke13–50.0417%24 Oct →
cache13–10-0.0114%24 Oct →
dust213–5-0.020%24 Oct →
cache5–13-0.0511%23 Oct →
dust213–50.0719%23 Oct →
ancient13–11-0.0515%23 Oct →
inferno13–80.0413%23 Oct →
cache7–13-0.0720%23 Oct →
overpass11–130.0119%23 Oct →
office8–00.0836%23 Oct →
inferno13–10.088%23 Oct →
cache13–8-0.0216%21 Oct →
dust29–130.0419%21 Oct →
inferno7–130.0516%21 Oct →
ancient11–13-0.0615%19 Oct →
dust213–30.1623%19 Oct →
office11–13-0.0522%19 Oct →
cache8–13-0.0712%18 Oct →
dust213–50.1226%18 Oct →
mirage9–130.0116%18 Oct →
dust213–4-0.008%16 Oct →
inferno13–70.0214%16 Oct →
ancient13–40.0622%16 Oct →
inferno8–130.0721%16 Oct →
cache13–10.069%16 Oct →
dust213–40.0322%16 Oct →
inferno13–5-0.0317%15 Oct →
ancient13–50.016%15 Oct →
office13–50.0817%15 Oct →
dust26–13-0.0218%15 Oct →
nuke2–13-0.1027%14 Oct →
mirage13–80.0213%14 Oct →
ancient9–13-0.0111%14 Oct →
anubis13–10.005%10 Oct →
ancient13–7-0.0314%10 Oct →
vertigo13–80.0511%10 Oct →
dust211–130.0213%10 Oct →
nuke13–20.0816%10 Oct →
inferno7–130.0021%10 Oct →
mirage13–110.0119%10 Oct →
mirage1–13-0.0322%10 Oct →
mirage13–40.027%9 Oct →
dust213–90.0016%8 Oct →
mirage6–13-0.0812%8 Oct →
nuke1–13-0.0628%8 Oct →
inferno13–80.0420%8 Oct →
overpass13–20.0817%8 Oct →
mirage8–130.0015%6 Oct →
vertigo13–100.0318%5 Oct →
office13–00.1615%5 Oct →
anubis13–20.1416%5 Oct →
italy6–13-0.0311%5 Oct →
inferno13–90.0414%3 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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