ibra

ibra — CS2 Stats

LB76561198127848194[U:1:167582466]Steam profile ↗✓ No bans

3,122Tracked matches47%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating21,297Top 50% of 215,558 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#66976 of 261675 tracked
FaceitLevel 9 · 2,242 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,297 → 21,297
0Faceit ELO · 2,242 → 2,242
+8Tracked matches · now 3,122
−3.3ppWin rate · 50.0% → 46.7%

Rating over time

Premier CS Rating: 21,297 -1,054 4 Jun – 5 Nov · 21 days played
20,47023,289peak 23,2894 Jun5 Nov
Faceit ELO: 2,242 +0 22 Sept – 5 Nov · 3 observations
2,2422,242peak 2,24222 Sept5 Nov
23,411Peak Premier in tracked matches
2,242Highest Faceit ELO seen on CSDB
52Days played since 2026-06-01

Faceit ELO

  • At peak — 2,242
  • Next: 2,500 ELO at 2,500 — 258 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-22
  • Level 9 first seen 2026-09-22

Premier CS Rating

  • 1,992 below peak (23,289)
  • +694 over 30 days · improving
  • Next: Red band at 25,000 — 3,703 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-11-05
  • Purple band first seen 2026-11-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGibraFACEITLevel 9 · 2,242 ELOSTANDINGTop 20.7% of rankedPREMIER21,297 · Pink bandPEAK ELO2,242csdb.gg/stats

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Performance scores

Aim82
Positioning47
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWWLLWWLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.0pp headshot accuracy · +82ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 622ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 605ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 564ms

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 (+3.1 against its own average).

Aim8.2
Utility6.7
Positioning4.7
Opening Duels0.0
Clutch3.2

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 555ms 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

Aim8.2
Positioning4.7
Utility6.7
Mechanics8.0
Opening Duels1.5
Win Impact3.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time551ms−43ms
first ⅓ avg 594ms → last ⅓ avg 551ms
Headshot accuracy21.0%−2.9%
first ⅓ avg 23.9% → last ⅓ avg 21.0%

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

0.16Best match rating · 13–1 · nuke, 7 Oct →
45%Best headshot accuracy · 13–3 · inferno, 1 Oct →
406msFastest reaction time · 13–16 · mirage, 4 Oct →
13–0Biggest win · dust2, 3 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

cacheBest map · 80% over 5dust2Weakest map · 33% over 27
MapGradePlayedRecordWin rateAvg rating
dust2D279–1833%-0.00
nukeC167–944%0.03
mirageA149–564%0.02
infernoA148–657%0.01
anubisB136–746%0.01
ancientC114–736%0.01
cacheS54–180%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,907Matches
52%Win rate
1.09Avg K/D
73.2ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust237649%1.0915.1
Ancient24748%1.0014.7
Nuke24055%1.0714.9
Inferno21153%1.0814.8
Mirage16848%0.9814.3
Anubis15754%1.0413.7
Train10353%0.9914.6
Overpass9253%1.1114.9

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.

20.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
34.1%Spray accuracy
85.9%Counter-strafing
8.5°Preaim
555msReaction time
41.3%T opening success
30.4%CT opening success
0.51Enemies flashed / flash
7.9%Flash assists
12.26HE damage / grenade
10.33Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.409% — below the 40% mark we flag

Spend your practice time on Dust 2

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 27 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0027%4 Nov →
anubis13–9-0.0519%4 Nov →
mirage13–40.0521%4 Nov →
ancient12–160.0216%3 Nov →
dust28–13-0.060%1 Nov →
ancient13–110.0733%1 Nov →
mirage13–70.0725%30 Oct →
anubis9–13-0.0618%28 Oct →
cache13–50.0729%28 Oct →
nuke13–50.0027%24 Oct →
inferno7–130.039%23 Oct →
anubis5–13-0.0117%23 Oct →
dust213–80.0418%22 Oct →
dust213–11-0.0416%22 Oct →
nuke9–13-0.0328%22 Oct →
nuke16–120.0222%21 Oct →
inferno5–13-0.0813%19 Oct →
anubis13–70.0218%19 Oct →
cache13–8-0.0126%19 Oct →
nuke13–100.0320%19 Oct →
inferno7–13-0.0525%18 Oct →
dust216–130.0520%17 Oct →
cache10–13-0.0624%16 Oct →
anubis4–13-0.0915%16 Oct →
mirage4–13-0.0113%16 Oct →
nuke11–130.0137%16 Oct →
dust26–13-0.0321%16 Oct →
cache13–110.0117%15 Oct →
dust28–13-0.0520%15 Oct →
inferno11–13-0.0027%14 Oct →
ancient7–130.0420%14 Oct →
dust213–60.0730%14 Oct →
anubis8–130.0222%13 Oct →
nuke11–130.0522%12 Oct →
nuke13–90.0523%12 Oct →
nuke12–160.0020%7 Oct →
nuke13–10.1644%7 Oct →
mirage7–13-0.0316%6 Oct →
ancient10–13-0.0417%6 Oct →
anubis16–130.0421%5 Oct →
ancient10–13-0.0310%4 Oct →
mirage13–16-0.0226%4 Oct →
dust29–13-0.0420%2 Oct →
ancient16–13-0.0031%2 Oct →
inferno13–7-0.0130%2 Oct →
inferno11–130.0631%2 Oct →
dust29–130.0616%2 Oct →
anubis9–13-0.0325%1 Oct →
anubis13–50.0519%1 Oct →
nuke15–150.0230%1 Oct →
dust216–140.0728%1 Oct →
dust213–100.0116%1 Oct →
inferno13–30.0145%1 Oct →
nuke13–100.0123%27 Jul →
ancient19–170.0119%27 Jul →
dust216–13-0.0318%25 Jul →
ancient9–130.0414%24 Jul →
inferno13–20.0221%23 Jul →
dust26–13-0.0433%22 Jul →
inferno13–80.0623%20 Jul →
ancient11–13-0.0519%20 Jul →
dust213–160.0628%20 Jul →
inferno13–110.0435%19 Jul →
inferno11–130.0215%19 Jul →
dust26–13-0.0515%19 Jul →
inferno13–110.0217%13 Jul →
mirage13–60.0217%11 Jul →
cache13–90.0121%11 Jul →
dust22–13-0.0610%11 Jul →
mirage13–80.0721%11 Jul →
nuke10–130.0635%11 Jul →
mirage16–120.0433%8 Jul →
dust210–13-0.0030%8 Jul →
dust28–130.0121%7 Jul →
dust213–00.0138%3 Jul →
mirage6–13-0.0035%2 Jul →
nuke13–9-0.0124%2 Jul →
anubis13–50.1426%29 Jun →
dust21–13-0.0221%28 Jun →
dust26–13-0.0418%27 Jun →
inferno13–100.0726%26 Jun →
mirage13–100.0230%25 Jun →
nuke11–130.1332%25 Jun →
dust27–130.0223%23 Jun →
ancient7–13-0.039%18 Jun →
dust213–70.0622%18 Jun →
mirage7–130.0215%17 Jun →
inferno13–11-0.0029%16 Jun →
ancient13–90.0426%15 Jun →
dust23–13-0.0236%14 Jun →
nuke2–13-0.0519%10 Jun →
mirage13–70.0727%10 Jun →
mirage13–100.025%9 Jun →
anubis6–130.0819%9 Jun →
dust217–19-0.0027%7 Jun →
mirage16–140.0126%4 Jun →
anubis13–50.0817%4 Jun →
anubis9–13-0.0221%4 Jun →
dust213–16-0.0223%4 Jun →
dust25–13-0.0123%1 Jun →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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