Игор

Игор — CS2 Stats

RU76561198013885372[U:1:53619644]Steam profile ↗✓ No bans

554Tracked matches33%Win rate2020Tracked since
5,163Hours in CS3Hrs last 2 wks
CSDB Rating5.5 SolidSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 554
−3.3ppWin rate · 36.7% → 33.3%

Rating over time

Premier CS Rating: 20,200 +222 21 Mar – 27 Jun · 27 days played
18,68321,154peak 21,15421 Mar27 Jun
21,154Peak Premier in tracked matches
46Days played since 2026-03-21

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate45.4%43.7%44.8%meets
Shot accuracy19.0%12.0%12.4%above
Kill/death ratio0.971.021.030.06 short
Match win rate46.9%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGИгорFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim68
Positioning60
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY37–58–5Last 10037%Win rateLWLWWLLWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · −14ms 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 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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 against its own average).

Aim6.8
Utility6.4
Positioning6.0
Opening Duels5.1
Clutch4.2

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 58% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim6.8
Positioning6.0
Utility6.4
Mechanics6.2
Opening Duels3.7
Win Impact0.0

Composite 5.5/10 (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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time581ms−9ms
first ⅓ avg 589ms → last ⅓ avg 581ms
Headshot accuracy17.6%+1.3%
first ⅓ avg 16.3% → last ⅓ avg 17.6%

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

0.26Best match rating · 7–0 · cache, 1 May →
35%Best headshot accuracy · 13–5 · dust2, 14 Jun →
391msFastest reaction time · 5–13 · anubis, 12 Apr →
9–0Biggest win · mirage, 15 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 50% over 16ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheD3510–2529%0.03
mirageB168–850%0.04
nukeC145–936%0.01
ancientD113–827%0.01
infernoC83–538%0.03
overpassB84–450%0.04
anubis—42–250%0.07
dust2—42–250%0.01

Across the last 100 tracked matches.

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

Lifetime stats

165,177Lifetime kills
0.97K/D
5,221Matches
46.9%Match win rate · Top 50% of Level 5 players
45.4%Headshot % · Top 50% of Level 5 players
19.0%Shot accuracy · Top 10% of Level 5 players
16,390MVPs
6,405Hours (in match)
8,864Bombs planted
2,554Bombs defused

Most-used weapons

AK-4762,498
AWP20,191
P2504,400
P902,658
Tec-92,262
MAC-101,925

Lifetime map wins

7,177inferno
6,180dust2
2,890cbble
2,890nuke
2,406vertigo
1,707train
393office
376militia

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

Faceit stats

Combat

668Matches
50%Win rate
1.32Avg K/D
85.5ADR
34%Headshot %

Clutches & streaks

41%1v1 clutch win
12%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5100%2.9215.8
Dust230%1.1518.7
Inferno250%1.1218.5
Nuke250%1.1217.0
Ancient20%0.569.5
Anubis250%1.0618.0

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.

16.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
39.6%Spray accuracy
77.9%Counter-strafing
10.7°Preaim
572msReaction time
31.2%T opening success
58.4%CT opening success
0.60Enemies flashed / flash
12.0%Flash assists
7.50HE damage / grenade
9.87Flashes / 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 31.2312% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0023%15 Oct →
mirage9–00.0525%15 Oct →
inferno8–13-0.0417%15 Oct →
inferno13–70.0918%5 Sept →
cache13–6-0.0113%22 Jul →
anubis9–130.0820%22 Jul →
cache10–130.0316%22 Jul →
ancient13–110.0015%22 Jul →
cache7–13-0.0422%21 Jul →
nuke7–130.0115%20 Jul →
mirage13–50.1017%20 Jul →
nuke13–9-0.0410%13 Jul →
cache10–130.0215%13 Jul →
cache13–60.138%13 Jul →
ancient11–130.038%13 Jul →
anubis13–60.0518%12 Jul →
cache11–130.0318%10 Jul →
overpass11–13-0.0326%6 Jul →
cache9–130.0627%6 Jul →
mirage5–130.0033%27 Jun →
cache1–13-0.0418%27 Jun →
ancient5–130.0424%26 Jun →
cache7–13-0.0416%26 Jun →
inferno11–13-0.0119%24 Jun →
cache4–130.0817%24 Jun →
inferno11–130.0316%22 Jun →
nuke13–110.007%14 Jun →
ancient9–130.0210%14 Jun →
cache7–13-0.0017%14 Jun →
ancient13–10-0.019%14 Jun →
dust213–9-0.0318%14 Jun →
dust213–50.0435%14 Jun →
overpass4–130.019%14 Jun →
nuke9–70.0516%13 Jun →
nuke7–130.0213%12 Jun →
mirage3–13-0.0219%12 Jun →
inferno7–13-0.0117%12 Jun →
mirage13–60.0513%12 Jun →
cache7–130.1114%11 Jun →
cache13–50.0212%11 Jun →
cache13–80.0318%10 Jun →
cache5–130.0621%10 Jun →
mirage15–15-0.0018%9 Jun →
nuke6–13-0.0313%9 Jun →
nuke7–130.0314%8 Jun →
nuke10–13-0.0419%5 Jun →
nuke9–130.0722%4 Jun →
cache6–13-0.0121%4 Jun →
overpass13–70.0120%3 Jun →
cache4–13-0.0312%3 Jun →
mirage16–130.0520%31 May →
overpass13–80.0915%30 May →
mirage13–70.0428%30 May →
overpass5–13-0.0024%30 May →
ancient3–130.0114%29 May →
overpass7–130.0419%29 May →
mirage13–80.0220%29 May →
cache13–100.0619%29 May →
ancient8–13-0.0117%26 May →
mirage11–130.0518%26 May →
cache12–120.1012%26 May →
nuke10–13-0.0318%24 May →
nuke10–13-0.0110%23 May →
mirage5–13-0.028%23 May →
cache11–13-0.0118%20 May →
cache13–100.0720%20 May →
inferno13–60.1413%17 May →
cache12–120.0416%17 May →
overpass13–80.1511%16 May →
overpass13–40.0213%16 May →
dust24–90.0615%16 May →
cache13–80.0614%14 May →
cache11–130.1012%10 May →
ancient15–150.0922%6 May →
cache12–12-0.029%3 May →
cache3–130.0117%3 May →
inferno6–13-0.0120%3 May →
cache13–40.1315%3 May →
cache13–80.0417%3 May →
cache3–13-0.049%3 May →
cache4–130.0020%3 May →
cache6–130.0119%1 May →
cache8–130.0120%1 May →
cache7–00.2633%1 May →
cache8–130.0022%1 May →
inferno13–100.0914%24 Apr →
mirage13–70.0721%24 Apr →
dust28–13-0.0210%23 Apr →
ancient2–13-0.0717%23 Apr →
anubis13–110.1317%12 Apr →
ancient4–130.0313%12 Apr →
anubis5–130.0112%12 Apr →
nuke2–13-0.0519%28 Mar →
ancient13–50.0311%28 Mar →
mirage9–13-0.0016%28 Mar →
mirage7–130.0317%27 Mar →
mirage13–90.0321%26 Mar →
mirage6–130.1615%23 Mar →
nuke13–110.0015%22 Mar →
nuke13–50.1016%21 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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