Igi

Igi — CS2 Stats

ME76561198212412944[U:1:252147216]Steam profile ↗✓ No bans

2,398Tracked matches40%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
FaceitLevel 10 · 2,067 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,067 → 2,067
+4Tracked matches · now 2,398
0.0ppWin rate · 40.0% → 40.0%

Rating over time

Faceit ELO: 2,067 +0 6 Sept – 5 Nov · 5 observations
2,0672,067peak 2,0676 Sept5 Nov
2,067Highest Faceit ELO seen on CSDB
87Days played since 2024-04-23

Faceit ELO

  • At peak — 2,067
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 433 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGIgiFACEITLevel 10 · 2,067 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,067csdb.gg/stats

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Performance scores

Aim77
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY43–57Last 10043%Win rateLWWWLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +2.2pp headshot accuracy · −23ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 527ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 570ms

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).

Aim7.7
Utility6.4
Positioning5.6
Opening Duels3.4
Clutch3.6

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

Twistzz

Plays most like Twistzz 91% 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

Reaction time. 577ms 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

Aim7.7
Positioning5.6
Utility6.4
Mechanics6.9
Opening Duels2.9
Win Impact1.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time581ms+28ms
first ⅓ avg 553ms → last ⅓ avg 581ms
Headshot accuracy19.4%−2.7%
first ⅓ avg 22.1% → last ⅓ avg 19.4%

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 · 13–6 · dust2, 26 Oct →
44%Best headshot accuracy · 13–7 · inferno, 21 Aug →
359msFastest reaction time · 13–11 · mirage, 6 Apr →
13–2Biggest win · inferno, 25 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–13In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 63% over 8anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD3110–2132%-0.01
ancientA2213–959%-0.02
dust2B2010–1050%0.00
anubisD113–827%-0.02
mirageA85–363%-0.03
overpass—40–40%-0.02
cache—31–233%-0.04
train—11–0100%0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,588Matches
51%Win rate
0.99Avg K/D
73.6ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
15Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient40956%1.0215.3
Inferno37358%1.1016.3
Dust229451%1.0115.2
Anubis20445%0.9215.0
Mirage14036%0.8914.6
Overpass10845%1.0016.4
Cache1242%0.619.3
Nuke520%0.7912.6

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.

20.0%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.0%Spray accuracy
81.0%Counter-strafing
9.8°Preaim
577msReaction time
34.9%T opening success
48.4%CT opening success
0.66Enemies flashed / flash
9.9%Flash assists
10.17HE damage / grenade
9.14Flashes / 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 34.8888% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.053%31 Oct →
ancient13–70.0412%6 Oct →
ancient13–9-0.0224%2 Oct →
cache13–10-0.0218%25 Sept →
inferno6–130.0124%3 Sept →
inferno13–70.0144%21 Aug →
inferno10–130.0322%31 May →
overpass10–13-0.0318%31 May →
ancient13–90.0317%20 May →
inferno5–130.0122%19 May →
inferno6–13-0.0315%17 May →
mirage13–11-0.0317%12 May →
cache2–13-0.0614%10 May →
ancient10–13-0.0823%10 May →
ancient7–13-0.0423%2 May →
overpass6–13-0.0717%25 Apr →
ancient13–5-0.0817%24 Apr →
inferno13–7-0.0016%23 Apr →
inferno16–190.0320%9 Apr →
dust213–100.0019%29 Mar →
anubis11–13-0.0517%27 Mar →
inferno10–130.0122%21 Mar →
dust213–90.0730%7 Mar →
inferno11–13-0.0426%15 Feb →
dust213–80.0718%24 Jan →
anubis13–90.0118%13 Jan →
overpass11–13-0.0015%13 Jan →
mirage3–13-0.0920%22 Dec →
inferno15–19-0.0122%21 Dec →
inferno11–13-0.0423%16 Dec →
ancient13–8-0.0216%15 Dec →
inferno3–13-0.018%7 Dec →
dust216–12-0.0121%3 Dec →
mirage7–13-0.0616%22 Nov →
inferno11–13-0.0413%8 Nov →
ancient13–90.0720%27 Oct →
dust213–11-0.047%27 Oct →
dust213–60.1215%26 Oct →
ancient9–13-0.056%26 Oct →
inferno11–13-0.0421%26 Oct →
inferno13–100.0711%20 Oct →
mirage16–120.0216%19 Oct →
overpass7–130.0224%16 Oct →
mirage13–8-0.0318%24 Sept →
ancient10–13-0.0019%14 Sept →
inferno9–130.0121%11 Sept →
inferno4–13-0.104%7 Sept →
ancient7–13-0.0514%6 Sept →
dust213–50.0136%1 Sept →
inferno10–13-0.0530%28 Aug →
inferno11–13-0.0722%17 Aug →
ancient13–6-0.0120%10 Aug →
inferno12–16-0.0617%10 Aug →
dust213–80.0117%6 Jul →
anubis6–13-0.0619%6 Jul →
inferno13–70.0316%21 May →
ancient5–13-0.0731%9 May →
train13–40.1218%20 Apr →
ancient13–5-0.0323%6 Apr →
mirage13–11-0.0312%6 Apr →
inferno13–20.0015%25 Mar →
dust25–13-0.0427%19 Mar →
inferno10–13-0.0413%17 Mar →
inferno6–13-0.0724%15 Mar →
ancient11–13-0.0212%22 Feb →
ancient0–13-0.0718%18 Feb →
dust213–11-0.0227%13 Feb →
dust211–13-0.0339%11 Feb →
anubis5–13-0.0323%24 Jan →
inferno19–150.0115%17 Jan →
ancient13–60.0313%6 Jan →
inferno17–19-0.0325%5 Jan →
ancient2–13-0.0724%3 Jan →
anubis9–130.0022%22 Dec →
mirage9–13-0.0523%3 Dec →
inferno9–13-0.0131%25 Nov →
mirage13–80.0519%10 Nov →
dust212–16-0.0333%25 Oct →
ancient13–70.0119%24 Oct →
inferno13–8-0.0226%22 Oct →
ancient13–8-0.0112%22 Oct →
anubis6–13-0.0423%21 Oct →
inferno13–9-0.0024%11 Oct →
dust28–13-0.0720%7 Oct →
dust23–13-0.0636%27 Sept →
inferno13–70.0515%23 Sept →
anubis6–13-0.0621%23 Sept →
dust28–13-0.0417%20 Sept →
dust27–13-0.0126%19 Sept →
dust28–13-0.0017%27 Aug →
anubis13–7-0.0429%19 Aug →
dust213–80.0426%21 Jul →
ancient13–80.0720%7 Jul →
dust216–19-0.0218%7 Jul →
anubis13–100.0815%7 Jul →
dust211–130.0912%1 Jul →
anubis11–13-0.0332%13 May →
anubis11–13-0.018%7 May →
ancient19–170.0219%26 Apr →
inferno16–130.0525%23 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K 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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