Andjias IraquiPeek

Andjias IraquiPeek — CS2 Stats

FO76561198063251418[U:1:102985690]Steam profile ↗✓ No bans

436Tracked matches54%Win rate2020Tracked since
2,009Hours in CS
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating16,633Purple band · top ~21.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (42 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: 16,633 -1,326 21 Sept – 3 Oct · 27 days played
16,60719,227peak 19,22721 Sept3 Oct
19,548Peak Premier in tracked matches
33Days played since 2025-09-21

Premier CS Rating

  • 2,594 below peak (19,227)
  • Next: Pink band at 20,000 — 3,367 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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.1%42.7%43.8%2.7% short
Shot accuracy14.1%11.2%12.0%above
Kill/death ratio0.980.991.020.04 short
Match win rate35.0%43.9%44.7%9.7% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAndjias IraquiPeekFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,633 · 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

Aim58
Positioning44
Utility48

0–100 skill scores via Leetify.

Recent form

HOT47–46–7Last 10047%Win rateWLWWLWWLWW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +3.2pp headshot accuracy · −55ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 674ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 626ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 653ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5 against its own average).

Aim5.8
Utility4.8
Positioning4.4
Opening Duels0.8
Clutch10.0

Reliable in 1v1s

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 85% 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. 649ms 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

Aim5.8
Positioning4.4
Utility4.8
Mechanics6.9
Opening Duels1.1
Win Impact6.2

Composite 5.1/10 (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-0.03−0.05
first ⅓ avg 0.02 → last ⅓ avg -0.03
Reaction time646ms+24ms
first ⅓ avg 623ms → last ⅓ avg 646ms
Headshot accuracy18.5%−0.7%
first ⅓ avg 19.2% → 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

0.17Best match rating · 9–3 · inferno, 11 Oct →
33%Best headshot accuracy · 13–11 · ancient, 3 Oct →
438msFastest reaction time · 13–8 · ancient, 3 Sept →
13–1Biggest win · ancient, 13 Nov →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 60% over 15dust2Weakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA3117–1455%-0.01
dust2D163–1319%-0.01
infernoA159–660%0.03
nukeA148–657%0.02
ancientC135–838%-0.01
overpassC83–538%-0.03
train—21–150%-0.03
cache—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,623Lifetime kills
0.98K/D
3,238Matches
35.0%Match win rate
41.1%Headshot %
14.1%Shot accuracy · Top 50% of Level 4 players
4,942MVPs
2,009Hours (in match)
1,871Bombs planted
588Bombs defused

Most-used weapons

Lifetime map wins

5,563dust2
2,161inferno
1,203nuke
640train
346vertigo
183cbble
170office
38lake

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

Faceit stats

Combat

24Matches
58%Win rate
0.99Avg K/D
68.8ADR
41%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%1.0426.0
Ancient1100%0.6911.0
Train1100%0.8113.0
Vertigo1100%0.678.0

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.

19.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.5%Spray accuracy
81.0%Counter-strafing
8.8°Preaim
649msReaction time
29.2%T opening success
38.8%CT opening success
0.69Enemies flashed / flash
5.9%Flash assists
9.82HE damage / grenade
6.47Flashes / 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 29.1999% — 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.

19% win rate across 16 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
ancient13–110.0133%3 Oct →
mirage6–13-0.1020%2 Oct →
inferno13–70.0424%2 Oct →
nuke13–11-0.0812%2 Oct →
dust25–13-0.1011%13 Sept →
mirage13–7-0.0521%13 Sept →
nuke13–10-0.0714%3 Sept →
inferno13–16-0.0517%3 Sept →
mirage13–30.0215%3 Sept →
ancient13–80.0018%3 Sept →
dust21–13-0.0313%3 Sept →
mirage13–10-0.0217%2 Sept →
mirage13–5-0.0020%2 Sept →
ancient8–13-0.0418%2 Sept →
nuke9–130.0326%29 Aug →
mirage7–13-0.0617%29 Aug →
dust21–8-0.050%29 Aug →
cache13–40.0213%29 Aug →
inferno13–50.0211%5 Dec →
nuke15–150.0119%5 Dec →
mirage7–13-0.0616%29 Nov →
inferno9–13-0.0333%28 Nov →
dust29–130.0128%28 Nov →
ancient15–150.0125%28 Nov →
mirage5–13-0.0817%16 Nov →
overpass16–13-0.0422%16 Nov →
ancient13–11-0.0625%16 Nov →
nuke13–60.0211%16 Nov →
mirage7–13-0.0813%15 Nov →
mirage13–8-0.0520%15 Nov →
train13–8-0.0331%15 Nov →
inferno5–13-0.0420%13 Nov →
overpass4–13-0.0715%13 Nov →
ancient13–10.0322%13 Nov →
dust24–13-0.0711%13 Nov →
ancient15–150.0515%9 Nov →
overpass8–13-0.0413%9 Nov →
inferno13–70.0412%9 Nov →
nuke4–13-0.0113%9 Nov →
mirage13–60.1019%9 Nov →
dust213–160.0223%9 Nov →
nuke9–13-0.0115%8 Nov →
overpass13–7-0.0030%8 Nov →
inferno13–9-0.0013%8 Nov →
inferno13–70.0530%8 Nov →
mirage13–30.0310%8 Nov →
mirage13–9-0.076%8 Nov →
mirage13–110.0217%8 Nov →
mirage7–13-0.0017%7 Nov →
train6–13-0.0225%7 Nov →
nuke13–100.0916%7 Nov →
dust213–6-0.019%7 Nov →
dust25–130.0032%2 Nov →
ancient15–15-0.0319%2 Nov →
overpass9–13-0.0612%26 Oct →
mirage13–80.1029%26 Oct →
ancient11–13-0.0416%26 Oct →
mirage10–130.0325%26 Oct →
dust215–15-0.0223%26 Oct →
inferno13–60.0011%26 Oct →
nuke13–20.128%25 Oct →
nuke13–80.0018%25 Oct →
inferno9–130.0418%25 Oct →
overpass8–13-0.0518%25 Oct →
ancient10–13-0.0225%23 Oct →
mirage13–11-0.0221%23 Oct →
mirage13–6-0.0219%23 Oct →
mirage15–15-0.029%21 Oct →
ancient13–16-0.0415%21 Oct →
mirage13–60.0220%21 Oct →
dust29–130.0226%19 Oct →
mirage13–90.0218%19 Oct →
nuke11–30.1114%19 Oct →
mirage6–130.0132%19 Oct →
dust215–150.0710%19 Oct →
nuke14–160.0218%18 Oct →
dust22–13-0.0519%17 Oct →
dust26–13-0.0724%17 Oct →
mirage13–110.0119%16 Oct →
mirage13–9-0.0810%12 Oct →
overpass5–13-0.0013%12 Oct →
overpass13–100.0326%11 Oct →
inferno9–30.1721%11 Oct →
inferno9–10.1530%11 Oct →
inferno9–30.0914%11 Oct →
mirage9–130.0218%3 Oct →
nuke10–130.0321%3 Oct →
mirage4–13-0.037%1 Oct →
dust213–20.0626%1 Oct →
mirage16–14-0.0413%29 Sept →
nuke13–80.0224%29 Sept →
inferno10–13-0.0219%28 Sept →
dust216–140.0321%26 Sept →
mirage7–130.0322%26 Sept →
ancient13–160.0221%23 Sept →
inferno13–160.0113%23 Sept →
mirage10–13-0.0124%23 Sept →
mirage10–130.1225%21 Sept →
dust25–13-0.0215%21 Sept →
ancient13–3-0.0130%21 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.