igortax'

igortax' — CS2 Stats

EG76561198023270452[U:1:63004724]Steam profile ↗✓ No bans

1,451Tracked matches48%Win rate2023Tracked since
1,730Hours in CS33Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating16,538Purple band · top ~22.3% of ranked players (population est.)
FaceitLevel 6 · 997 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 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: 16,538 -41 23 Aug – 8 Nov · 40 days played
16,13718,186peak 18,18623 Aug8 Nov
Faceit ELO: 997 +0 6 Sept – 12 Oct · 4 observations
997997peak 9976 Sept12 Oct
18,849Peak Premier in tracked matches
997Highest Faceit ELO seen on CSDB
39Days played since 2026-08-23

Faceit ELO

  • At peak — 997
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 54 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-06
  • Level 3 first seen 2026-09-06

Premier CS Rating

  • 1,648 below peak (18,186)
  • -197 over 30 days · steady
  • -41 over 90 days
  • Next: Pink band at 20,000 — 3,462 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-06
  • Blue band first seen 2026-09-06

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches85——
Win rate49%——
K/D0.94——
Headshot %39%——

Measured 12 Oct 2026 → 14 Nov 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate44.0%44.8%45.7%1.7% short
Shot accuracy6.5%12.4%12.7%6.2% short
Kill/death ratio0.861.031.050.19 short
Match win rate42.6%45.2%45.7%3.1% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGigortax'FACEITLevel 6 · 997 ELOSTANDINGTop 54.0% of rankedPREMIER16,538 · Purple band30 DAYS0 ELOPEAK ELO997csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning56
Utility74

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLLLLWLLLWW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −3.1pp headshot accuracy · −8ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 505ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 552ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

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 against its own average).

Aim5.6
Utility7.4
Positioning5.6
Opening Duels1.9
Clutch2.8

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

iM

Plays most like iM 67% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher utility contribution; 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

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 59% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning5.6
Utility7.4
Mechanics3.2
Opening Duels4.8
Win Impact4.4

Composite 5.3/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time562ms−43ms
first ⅓ avg 605ms → last ⅓ avg 562ms
Headshot accuracy14.5%−4.8%
first ⅓ avg 19.2% → last ⅓ avg 14.5%

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

0.11Best match rating · 13–7 · cache, 29 Aug →
44%Best headshot accuracy · 13–3 · nuke, 20 Sept →
406msFastest reaction time · 8–13 · inferno, 5 Oct →
13–1Biggest win · dust2, 13 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
13–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 61% over 23anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2314–961%0.01
mirageA2213–959%-0.01
infernoB209–1145%0.00
ancientD103–730%-0.01
anubisD92–722%-0.01
nukeA95–456%0.01
cacheA53–260%0.03
overpass—10–10%-0.03
office—11–0100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,780Lifetime kills
0.86K/D
2,239Matches
42.6%Match win rate
44.0%Headshot %
6.5%Shot accuracy
3,972MVPs
880Hours (in match)
2,336Bombs planted
471Bombs defused

Most-used weapons

Lifetime map wins

4,898dust2
4,892inferno
757nuke
403vertigo
326train
26office
6italy
2ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

729Matches
50%Win rate
0.91Avg K/D
71.4ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust212953%0.9313.8
Mirage12554%0.9013.6
Inferno10553%0.9713.7
Anubis7043%0.8813.6
Ancient6048%0.8614.3
Nuke2157%0.8813.7
Cache1040%1.2818.5
Overpass729%0.7612.9

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.

14.6%Headshot accuracy
36.7%Accuracy (enemy spotted)
41.0%Spray accuracy
64.2%Counter-strafing
11.6°Preaim
564msReaction time
59.4%T opening success
39.1%CT opening success
0.77Enemies flashed / flash
6.6%Flash assists
11.92HE damage / grenade
14.43Flashes / 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 14.6258% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 39.0937% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0012%8 Nov →
anubis5–13-0.0213%8 Nov →
mirage8–13-0.0312%8 Nov →
inferno1–13-0.0018%7 Nov →
mirage13–110.0412%7 Nov →
inferno6–13-0.065%7 Nov →
mirage13–16-0.0318%6 Nov →
anubis11–130.0315%6 Nov →
dust213–9-0.0111%6 Nov →
dust213–10-0.0419%6 Nov →
dust24–130.0513%5 Nov →
mirage5–13-0.0520%5 Nov →
mirage13–10-0.019%5 Nov →
dust27–130.027%4 Nov →
nuke6–13-0.0119%4 Nov →
dust213–90.0022%4 Nov →
inferno13–70.0916%4 Nov →
mirage13–11-0.0218%3 Nov →
inferno13–90.0124%3 Nov →
inferno13–40.0218%3 Nov →
mirage7–13-0.0416%2 Nov →
ancient13–10-0.0115%2 Nov →
inferno4–13-0.0612%31 Oct →
nuke12–160.0217%30 Oct →
mirage9–13-0.0315%29 Oct →
mirage13–110.0010%29 Oct →
mirage16–14-0.0611%29 Oct →
ancient15–15-0.0320%28 Oct →
mirage13–11-0.0112%27 Oct →
nuke13–11-0.0011%27 Oct →
inferno13–90.0118%26 Oct →
dust210–13-0.108%26 Oct →
inferno13–16-0.0014%26 Oct →
mirage13–100.038%26 Oct →
anubis7–13-0.0712%25 Oct →
anubis11–130.0116%23 Oct →
inferno13–110.0316%23 Oct →
inferno15–15-0.0514%23 Oct →
cache13–40.0011%19 Oct →
nuke13–40.0522%19 Oct →
dust213–30.0811%18 Oct →
mirage13–3-0.0219%18 Oct →
nuke6–130.0124%16 Oct →
ancient9–130.0023%16 Oct →
anubis13–20.0211%13 Oct →
dust213–10.0525%13 Oct →
nuke12–16-0.018%13 Oct →
inferno15–150.0618%12 Oct →
dust213–60.0231%12 Oct →
anubis10–130.0212%11 Oct →
mirage13–50.0311%7 Oct →
dust212–160.0325%7 Oct →
ancient13–100.0512%7 Oct →
mirage13–8-0.0213%6 Oct →
inferno8–13-0.0619%5 Oct →
anubis10–13-0.0825%5 Oct →
dust213–1-0.0221%5 Oct →
dust25–13-0.0610%5 Oct →
mirage16–140.0217%5 Oct →
nuke13–50.0515%4 Oct →
inferno13–110.0824%4 Oct →
inferno4–130.0113%27 Sept →
anubis3–13-0.0314%27 Sept →
nuke13–60.0112%22 Sept →
dust213–110.0330%22 Sept →
mirage7–13-0.068%21 Sept →
dust216–13-0.0322%21 Sept →
ancient2–9-0.045%21 Sept →
overpass6–9-0.0321%21 Sept →
inferno8–130.0519%21 Sept →
dust213–110.0315%21 Sept →
cache8–13-0.0119%21 Sept →
inferno13–4-0.0038%20 Sept →
nuke13–30.0144%20 Sept →
ancient2–130.0317%14 Sept →
dust213–70.049%14 Sept →
anubis13–30.0327%14 Sept →
ancient13–10.0312%14 Sept →
mirage10–130.0426%13 Sept →
inferno13–90.0121%13 Sept →
office13–100.0130%13 Sept →
dust29–13-0.0216%4 Sept →
mirage9–130.0111%4 Sept →
ancient7–13-0.0213%3 Sept →
cache13–50.0526%3 Sept →
dust28–40.0826%1 Sept →
ancient14–16-0.0316%1 Sept →
inferno15–15-0.0019%31 Aug →
dust213–11-0.017%29 Aug →
cache13–70.1117%29 Aug →
dust213–40.0426%29 Aug →
inferno8–13-0.0320%29 Aug →
dust29–13-0.0424%27 Aug →
inferno13–11-0.0518%24 Aug →
mirage13–9-0.0320%24 Aug →
mirage12–16-0.0415%24 Aug →
mirage13–20.0517%24 Aug →
dust211–13-0.0511%23 Aug →
dust27–130.0624%23 Aug →
ancient11–13-0.079%23 Aug →

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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