ipurnauju

ipurnauju — CS2 Stats

76561197994766098[U:1:34500370]Steam profile ↗✓ No bans

2,077Tracked matches33%Win rate2021Tracked since
CSDB Rating3.9 LearningSupport
Premier CS Rating13,726Blue band · top ~35.1% of ranked players (population est.)
FaceitLevel 4 · 912 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 13,726 -3,258 30 Aug – 11 Oct · 17 days played
13,72616,984peak 16,98430 Aug11 Oct
Faceit ELO: 912 +0 1 Sept – 21 Sept · 6 observations
912912peak 9121 Sept21 Sept
16,984Peak Premier in tracked matches
912Highest Faceit ELO seen on CSDB
31Days played since 2026-08-30

Faceit ELO

  • At peak — 912
  • Next: Level 5 at 1,051 — 139 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-01
  • Level 3 first seen 2026-09-01

Premier CS Rating

  • 3,258 below peak (16,984)
  • -2,958 over 30 days · declining
  • Next: Purple band at 15,000 — 1,274 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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.

Share this profile

CSDB.GGipurnaujuFACEITLevel 4 · 912 ELOSTANDINGTop 81.0% of rankedPREMIER13,726 · Blue bandPEAK ELO912csdb.gg/stats

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Performance scores

Aim37
Positioning54
Utility72

0–100 skill scores via Leetify.

Recent form

COLD36–63–1Last 10036%Win rateLLLWLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −8.9pp headshot accuracy · −7ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 573ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 586ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 589ms

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 (+3.3 against its own average).

Aim3.7
Utility7.2
Positioning5.4
Opening Duels0.3
Clutch2.6

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 51% 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

Reaction time. 607ms 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

Aim3.7
Positioning5.4
Utility7.2
Mechanics5.0
Opening Duels1.3
Win Impact0.0

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time602ms−15ms
first ⅓ avg 618ms → last ⅓ avg 602ms
Headshot accuracy11.5%−4.0%
first ⅓ avg 15.5% → last ⅓ avg 11.5%

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

0.10Best match rating · 13–3 · ancient, 12 Sept →
34%Best headshot accuracy · 13–5 · anubis, 13 Sept →
453msFastest reaction time · 13–5 · anubis, 13 Sept →
13–2Biggest win · ancient, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–3In matches decided by ≤2 rounds
12Overtime games

Map breakdown

vertigoBest map · 83% over 6dust2Weakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
ancientC2511–1444%0.00
infernoC219–1243%-0.03
anubisD174–1324%-0.01
nukeC135–838%-0.01
cacheD91–811%-0.04
dust2D70–70%-0.03
vertigoS65–183%0.00
mirage—21–150%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

375Matches
47%Win rate
0.87Avg K/D
71.9ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient9852%0.9614.4
Inferno9050%0.8612.6
Anubis5135%0.8713.5
Nuke4755%0.9614.8
Overpass2357%0.8011.4
Dust22124%0.8012.0
Vertigo1759%0.7111.4
Cache1127%0.6611.0

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.

11.6%Headshot accuracy
31.8%Accuracy (enemy spotted)
32.1%Spray accuracy
72.5%Counter-strafing
12.2°Preaim
607msReaction time
40.3%T opening success
30.2%CT opening success
0.62Enemies flashed / flash
6.7%Flash assists
11.32HE damage / grenade
13.14Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2268° — above the 12° mark we flag

    Aim Training →
  2. 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 11.6049% — below the 15% mark we flag

    Aim Training →
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.

0% win rate across 7 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
cache7–13-0.045%11 Oct →
inferno5–13-0.026%11 Oct →
anubis7–130.015%9 Oct →
inferno13–11-0.0712%9 Oct →
dust25–13-0.094%9 Oct →
vertigo13–10-0.0113%9 Oct →
anubis13–60.015%9 Oct →
cache9–13-0.057%9 Oct →
cache7–13-0.0714%8 Oct →
ancient5–13-0.057%8 Oct →
ancient7–13-0.049%8 Oct →
inferno13–30.0228%8 Oct →
nuke13–110.0417%8 Oct →
anubis14–16-0.0311%8 Oct →
dust27–130.0218%7 Oct →
dust28–13-0.0417%7 Oct →
cache13–16-0.0316%7 Oct →
inferno13–90.0323%7 Oct →
anubis7–13-0.0315%7 Oct →
dust28–13-0.0114%6 Oct →
mirage6–13-0.0213%6 Oct →
anubis10–13-0.073%6 Oct →
nuke9–13-0.023%5 Oct →
inferno13–8-0.066%5 Oct →
nuke11–13-0.0118%5 Oct →
ancient10–130.0118%5 Oct →
mirage13–11-0.0112%3 Oct →
inferno7–13-0.0312%3 Oct →
inferno13–60.008%3 Oct →
ancient13–20.034%3 Oct →
inferno7–13-0.0316%2 Oct →
nuke19–150.0110%2 Oct →
vertigo13–3-0.0010%2 Oct →
anubis13–70.0110%1 Oct →
ancient13–3-0.005%1 Oct →
ancient13–90.026%27 Sept →
ancient9–13-0.0416%27 Sept →
inferno5–13-0.0814%27 Sept →
ancient13–6-0.015%26 Sept →
vertigo13–50.0214%26 Sept →
ancient16–120.0013%26 Sept →
anubis6–130.0724%26 Sept →
inferno13–50.0416%25 Sept →
vertigo8–130.0411%25 Sept →
nuke13–40.0621%25 Sept →
ancient9–13-0.075%25 Sept →
ancient13–8-0.014%24 Sept →
nuke13–30.0316%24 Sept →
inferno10–130.0015%24 Sept →
ancient16–130.0715%24 Sept →
dust28–130.042%24 Sept →
anubis8–13-0.059%24 Sept →
inferno8–13-0.0311%24 Sept →
vertigo13–11-0.0210%23 Sept →
anubis13–160.0110%23 Sept →
ancient4–13-0.0614%23 Sept →
anubis10–130.0112%23 Sept →
anubis27–310.0011%22 Sept →
inferno13–11-0.0321%22 Sept →
dust26–13-0.075%21 Sept →
anubis15–19-0.0313%21 Sept →
dust24–13-0.0210%20 Sept →
ancient10–13-0.0118%20 Sept →
anubis13–90.0223%20 Sept →
ancient3–13-0.1114%20 Sept →
anubis2–130.017%19 Sept →
nuke6–130.0411%19 Sept →
cache8–13-0.0320%19 Sept →
ancient13–100.0910%19 Sept →
inferno12–16-0.0319%18 Sept →
ancient11–130.0015%18 Sept →
nuke3–13-0.0815%17 Sept →
cache13–7-0.045%17 Sept →
nuke2–13-0.0923%17 Sept →
vertigo13–8-0.0126%16 Sept →
inferno16–12-0.029%16 Sept →
ancient1–13-0.0110%16 Sept →
inferno15–15-0.0421%14 Sept →
nuke10–13-0.039%14 Sept →
ancient8–13-0.0217%14 Sept →
anubis13–50.0934%13 Sept →
ancient12–16-0.0311%13 Sept →
inferno5–13-0.0521%12 Sept →
ancient13–30.1023%12 Sept →
nuke4–13-0.0524%12 Sept →
cache9–13-0.0112%12 Sept →
ancient9–130.0712%11 Sept →
ancient13–30.0715%10 Sept →
cache3–13-0.0225%10 Sept →
anubis8–13-0.0520%7 Sept →
inferno13–10-0.034%7 Sept →
ancient10–13-0.0111%6 Sept →
inferno9–130.0117%5 Sept →
nuke13–10-0.0110%5 Sept →
nuke10–130.0016%3 Sept →
ancient13–80.0723%3 Sept →
cache8–13-0.098%30 Aug →
anubis7–13-0.076%30 Aug →
inferno5–13-0.0411%30 Aug →
inferno6–13-0.0511%30 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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