iorep

iorep — CS2 Stats

BI76561198297947377[U:1:337681649]Steam profile ↗✓ No bans

206Tracked matches46%Win rate2020Tracked since
1,948Hours in CS12Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating18,580Purple band · top ~14.1% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (2 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: 18,580 +13,073 25 May – 31 Oct · 14 days played
5,39618,580peak 18,58025 May31 Oct
18,687Peak Premier in tracked matches
59Days played since 2025-02-15

Premier CS Rating

  • At peak — 18,580
  • Next: Pink band at 20,000 — 1,420 to go
  • Reached: Purple band · Blue band · Light Blue band

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate41.7%40.9%41.3%meets
Shot accuracy21.0%14.2%12.7%above
Kill/death ratio1.010.950.95above
Match win rate41.0%42.1%42.6%1.6% short

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGiorepFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER18,580 · Purple bandcsdb.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

Aim73
Positioning58
Utility19

0–100 skill scores via Leetify.

Recent form

HOT54–41–5Last 10054%Win rateLWLWLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +1.7pp headshot accuracy · −56ms reaction

Win rate up 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 560ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 585ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim7.3
Utility1.9
Positioning5.8
Opening Duels4.7

Strong CT-side openerLimited utility dependence

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

donk

Plays most like donk 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 602ms 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

Aim7.3
Positioning5.8
Utility1.9
Mechanics6.4
Opening Duels5.5
Win Impact3.8

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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time611ms−52ms
first ⅓ avg 663ms → last ⅓ avg 611ms
Headshot accuracy18.5%+3.1%
first ⅓ avg 15.4% → last ⅓ avg 18.5%

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

0.14Best match rating · 13–9 · nuke, 24 Oct →
29%Best headshot accuracy · 13–8 · nuke, 31 Oct →
453msFastest reaction time · 13–9 · nuke, 24 Oct →
13–1Biggest win · nuke, 22 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 9cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%-0.02
infernoB179–853%-0.00
nukeA169–756%0.01
dust2B147–750%-0.00
ancientS96–367%0.00
cacheD82–625%-0.03
anubis—43–175%0.04
agency—32–167%-0.05
office—21–150%0.00
train—22–0100%0.06
vertigo—21–150%-0.02
warden—10–10%0.00

Across the last 100 tracked matches.

Lifetime stats

52,489Lifetime kills
1.01K/D · Top 50% of Level 1 players
3,172Matches
41.0%Match win rate
41.7%Headshot % · Top 50% of Level 1 players
21.0%Shot accuracy · Top 5% of Level 1 players
7,969MVPs
963Hours (in match)
1,760Bombs planted
704Bombs defused

Most-used weapons

Lifetime map wins

4,118inferno
2,567lake
2,297nuke
1,609dust2
907vertigo
485train
423office
150cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
37.3%Spray accuracy
78.7%Counter-strafing
8.8°Preaim
602msReaction time
46.1%T opening success
58.0%CT opening success
0.36Enemies flashed / flash
3.3%Flash assists
7.52HE damage / grenade
1.76Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3633 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0219%31 Oct →
nuke13–80.0229%31 Oct →
nuke11–13-0.0321%30 Oct →
dust213–10-0.0019%30 Oct →
inferno9–13-0.0221%30 Oct →
dust213–60.0519%30 Oct →
anubis13–90.0919%30 Oct →
dust25–10.0923%30 Oct →
anubis13–110.0521%28 Oct →
nuke13–60.1217%28 Oct →
ancient11–130.1028%28 Oct →
ancient13–60.0820%25 Oct →
nuke13–90.1426%24 Oct →
cache2–13-0.0328%24 Oct →
mirage4–13-0.0316%11 Jul →
dust210–13-0.0723%4 Jul →
anubis3–13-0.0514%4 Jul →
cache13–40.0218%23 Jun →
warden5–130.009%23 Jun →
inferno7–9-0.089%23 Jun →
mirage15–15-0.1126%18 Jun →
cache5–13-0.0720%26 May →
cache13–10-0.027%8 May →
cache5–13-0.0216%2 May →
dust27–13-0.0419%1 May →
ancient13–20.0314%1 May →
cache10–13-0.0316%1 May →
cache7–13-0.067%30 Apr →
nuke13–5-0.0322%22 Mar →
mirage12–12-0.0218%7 Mar →
mirage6–13-0.0413%21 Feb →
ancient14–16-0.0118%8 Feb →
nuke13–50.0717%7 Feb →
nuke6–13-0.065%7 Feb →
mirage11–40.0423%4 Feb →
dust213–6-0.038%31 Jan →
inferno16–12-0.0315%23 Jan →
inferno13–110.0328%10 Jan →
mirage3–10-0.0319%10 Jan →
ancient13–11-0.0415%4 Jan →
ancient13–100.0416%20 Dec →
office8–130.0013%7 Dec →
mirage13–10-0.0713%6 Dec →
agency13–8-0.0610%8 Nov →
nuke3–13-0.0817%8 Nov →
ancient13–6-0.084%8 Nov →
office13–110.015%7 Nov →
nuke7–13-0.037%26 Oct →
inferno2–13-0.129%26 Oct →
nuke13–80.0322%26 Oct →
train13–70.0119%8 Oct →
dust27–130.0214%4 Jul →
mirage13–10-0.0120%28 Jun →
mirage9–13-0.0322%27 Jun →
train13–60.1214%27 Jun →
inferno13–90.0714%26 Jun →
mirage1–13-0.1214%24 Jun →
vertigo9–13-0.0410%22 Jun →
nuke13–10.068%22 Jun →
mirage13–60.0518%22 Jun →
inferno5–13-0.039%21 Jun →
dust25–130.0410%21 Jun →
dust210–13-0.008%20 Jun →
inferno13–80.0113%20 Jun →
nuke13–100.008%20 Jun →
dust212–12-0.0413%20 Jun →
vertigo13–9-0.0028%20 Jun →
anubis16–130.0613%20 Jun →
agency12–12-0.096%14 Jun →
mirage13–90.0110%12 Jun →
mirage13–7-0.0016%9 Jun →
dust213–110.0321%9 Jun →
inferno8–13-0.0224%9 Jun →
inferno13–7-0.0020%9 Jun →
agency13–8-0.009%9 Jun →
inferno13–80.0413%9 Jun →
nuke6–13-0.0311%8 Jun →
mirage13–10-0.0710%8 Jun →
dust213–8-0.0313%8 Jun →
mirage13–10-0.048%7 Jun →
nuke13–70.0524%5 Jun →
mirage13–50.0319%5 Jun →
ancient16–12-0.0215%4 Jun →
mirage13–10-0.0119%31 May →
mirage9–130.0026%27 May →
ancient8–13-0.0512%25 May →
dust213–4-0.0119%25 May →
mirage13–60.0520%25 May →
nuke4–9-0.0115%24 May →
inferno9–50.1117%24 May →
mirage13–110.0125%20 May →
mirage9–13-0.0112%20 May →
inferno10–13-0.089%4 May →
inferno15–150.0415%18 Apr →
inferno13–40.0514%12 Apr →
nuke2–13-0.0911%6 Apr →
mirage3–13-0.0215%4 Apr →
dust214–16-0.0216%3 Apr →
inferno11–13-0.0421%6 Mar →
inferno13–60.0012%15 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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