purjopora69

purjopora69 — CS2 Stats

FI76561198018544203[U:1:58278475]Steam profile ↗✓ No bans

2,916Tracked matches43%Win rate2020Tracked since
5,744Hours in CS13Hrs last 2 wks
CSDB Rating3.8 LearningSupport
FaceitLevel 10 · 1,842 ELOTop 12.4% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,842 → 1,842
+25Tracked matches · now 2,916
+6.7ppWin rate · 36.7% → 43.3%

Rating over time

Faceit ELO: 1,842 +0 18 Sept – 21 Sept · 2 observations
1,8421,842peak 1,84218 Sept21 Sept
1,842Highest Faceit ELO seen on CSDB
61Days played since 2026-01-25

Faceit ELO

  • At peak — 1,842
  • Next: Level 10 at 2,001 — 159 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-18
  • Level 8 first seen 2026-09-18

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate46.7%50.9%
Shot accuracy15.0%13.7%
Kill/death ratio0.871.09
Match win rate47.8%48.4%

Share this profile

CSDB.GGpurjopora69FACEITLevel 10 · 1,842 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,842csdb.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

Aim48
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateWWLWWLTWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.0pp headshot accuracy · +54ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 627ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 620ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 593ms

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 (+2.5 against its own average).

Aim4.8
Utility6.0
Positioning4.2
Opening Duels0.0
Clutch3.8

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: 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. 588ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.8
Positioning4.2
Utility6.0
Mechanics3.6
Opening Duels0.0
Win Impact2.8

Composite 3.8/10 (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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time589ms+5ms
first ⅓ avg 584ms → last ⅓ avg 589ms
Headshot accuracy21.5%+0.6%
first ⅓ avg 20.9% → last ⅓ avg 21.5%

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 · 13–4 · nuke, 9 Aug →
50%Best headshot accuracy · 11–13 · dust2, 4 Oct →
391msFastest reaction time · 3–13 · cache, 24 May →
13–2Biggest win · dust2, 10 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
9–15In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 80% over 10dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
infernoB2010–1050%-0.04
ancientB209–1145%-0.03
dust2D185–1328%-0.04
nukeB136–746%-0.02
anubisD124–833%-0.03
cacheS108–280%-0.00
mirage—30–30%-0.03
overpass—21–150%-0.02
poseidon—10–10%-0.06
sanctum—10–10%-0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,153Lifetime kills
0.87K/D
7,283Matches
47.8%Match win rate
46.7%Headshot %
15.0%Shot accuracy · Top 50% of Level 10 players
16,773MVPs
2,884Hours (in match)
5,909Bombs planted
1,452Bombs defused

Most-used weapons

AK-4739,818
AWP10,862
Knife3,337
MP93,047
MAC-102,626

Lifetime map wins

10,812inferno
8,789dust2
7,906nuke
6,329train
3,955vertigo
3,153cbble
247lake
138office

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

Faceit stats

Combat

1,934Matches
53%Win rate
0.81Avg K/D
67.6ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient25655%0.8313.7
Inferno21761%0.8213.0
Nuke19359%0.8613.1
Dust215349%0.7712.2
Anubis14054%0.8213.0
Mirage12942%0.7612.7
Train5159%0.8913.1
Cache2544%0.8414.0

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.

20.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
33.5%Spray accuracy
66.3%Counter-strafing
12.4°Preaim
588msReaction time
21.2%T opening success
29.0%CT opening success
0.69Enemies flashed / flash
6.7%Flash assists
6.77HE damage / grenade
13.20Flashes / 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 12.4329° — above the 12° 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.

28% win rate across 18 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
anubis13–10-0.0815%28 Oct →
anubis13–70.0124%19 Oct →
dust211–13-0.0650%4 Oct →
cache13–8-0.0326%4 Oct →
cache13–50.0316%2 Oct →
anubis7–13-0.114%12 Sept →
inferno8–80.0221%11 Sept →
dust213–9-0.0223%9 Sept →
mirage10–13-0.029%8 Sept →
inferno7–13-0.0918%7 Sept →
cache13–110.0320%7 Sept →
cache13–40.0332%30 Aug →
inferno13–11-0.0520%27 Aug →
poseidon7–9-0.0630%22 Aug →
dust29–13-0.0121%22 Aug →
dust211–13-0.0538%17 Aug →
ancient10–13-0.0617%13 Aug →
nuke13–40.1030%9 Aug →
nuke13–11-0.0716%6 Aug →
inferno9–13-0.0921%23 Jul →
cache10–13-0.0027%22 Jul →
inferno13–11-0.028%19 Jul →
ancient16–14-0.0326%19 Jul →
inferno9–130.0221%18 Jul →
ancient10–130.0025%17 Jul →
dust217–19-0.0224%17 Jul →
nuke11–13-0.0121%16 Jul →
dust27–13-0.0726%16 Jul →
inferno5–13-0.1026%6 Jul →
ancient32–34-0.0411%6 Jul →
ancient15–19-0.0416%6 Jul →
nuke13–5-0.029%6 Jul →
dust213–110.0519%4 Jul →
ancient7–13-0.1010%2 Jul →
anubis9–13-0.0917%2 Jul →
ancient9–13-0.0221%30 Jun →
inferno13–7-0.0313%30 Jun →
dust26–13-0.0630%30 Jun →
inferno13–10-0.018%5 Jun →
nuke7–13-0.0727%5 Jun →
anubis6–13-0.0121%4 Jun →
inferno13–10-0.0417%4 Jun →
ancient11–130.0129%1 Jun →
inferno13–90.0317%1 Jun →
nuke9–13-0.0222%1 Jun →
ancient13–11-0.008%31 May →
overpass5–13-0.095%24 May →
ancient13–8-0.0130%24 May →
anubis10–13-0.0519%24 May →
cache3–130.0036%24 May →
nuke13–9-0.0221%24 May →
inferno10–13-0.0429%20 May →
overpass13–50.0415%17 May →
cache13–7-0.0421%14 May →
dust28–13-0.0721%14 May →
ancient3–13-0.0525%10 May →
dust213–20.0819%10 May →
ancient16–120.0015%2 May →
cache13–11-0.039%2 May →
dust29–13-0.1029%30 Apr →
cache13–8-0.0025%30 Apr →
inferno13–60.0217%30 Apr →
ancient13–4-0.0217%30 Apr →
nuke11–13-0.0411%30 Apr →
cache13–7-0.0021%26 Apr →
inferno11–13-0.1011%26 Apr →
nuke6–13-0.0518%26 Apr →
dust24–13-0.0726%22 Apr →
ancient13–6-0.0616%21 Apr →
ancient12–16-0.0713%17 Apr →
anubis10–13-0.0511%26 Mar →
inferno14–16-0.0610%22 Mar →
ancient13–20.0118%15 Mar →
anubis11–13-0.0418%12 Mar →
inferno6–13-0.0823%9 Mar →
dust29–130.0115%8 Mar →
nuke13–5-0.0516%8 Mar →
ancient6–13-0.0327%6 Mar →
dust213–9-0.0320%2 Mar →
inferno13–10-0.0020%25 Feb →
ancient13–6-0.0118%21 Feb →
dust25–13-0.0726%15 Feb →
mirage13–16-0.0427%15 Feb →
dust27–13-0.0623%8 Feb →
mirage4–13-0.0226%8 Feb →
inferno13–11-0.0514%7 Feb →
nuke11–13-0.0321%6 Feb →
anubis13–4-0.0218%6 Feb →
dust210–13-0.0531%6 Feb →
ancient14–16-0.0719%5 Feb →
inferno13–4-0.0429%5 Feb →
nuke13–50.0316%4 Feb →
nuke11–13-0.0515%4 Feb →
anubis9–130.0120%2 Feb →
anubis13–60.0019%29 Jan →
inferno5–13-0.0024%29 Jan →
dust213–7-0.0730%29 Jan →
anubis11–130.0427%28 Jan →
ancient13–8-0.0321%28 Jan →
sanctum6–9-0.1233%25 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.