CAPAN

CAPAN — CS2 Stats

HR76561198235892248[U:1:275626520]Steam profile ↗✓ No bans

1,024Tracked matches57%Win rate2020Tracked since
1,291Hours in CS
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 8 · 1,483 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,483 → 1,483
+20Tracked matches · now 1,024
+3.3ppWin rate · 53.3% → 56.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 19 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

18,466Peak Premier in tracked matches
1,483Highest Faceit ELO seen on CSDB
32Days played since 2026-06-19

Faceit ELO

  • At peak — 1,483
  • Next: Level 8 at 1,531 48 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=12,738), 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 8 medianLevel 9 medianvs Level 9
Headshot rate39.2%46.8%48.3%9.1% short
Shot accuracy10.3%13.0%13.2%2.9% short
Kill/death ratio1.331.061.07above
Match win rate44.5%46.3%46.9%2.5% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCAPANFACEITLevel 8 · 1,483 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,483csdb.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

Aim74
Positioning60
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY58402Last 10058%Win rateWWWLLLLWWL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +1.0pp headshot accuracy · +1ms 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

  • 32 · 60% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 18%
  • Avg reaction 460ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 15%
  • Avg reaction 448ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 447ms

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 PlayerPositioning stands above the rest of this profile (+2.2 against its own average).

Aim7.4
Utility4.8
Positioning6.0
Opening Duels1.7
Clutch2.8

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Counter-strafing. Only 70% 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

Aim7.4
Positioning6.0
Utility4.8
Mechanics4.4
Opening Duels1.1
Win Impact7.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time442ms−33ms
first ⅓ avg 475ms → last ⅓ avg 442ms
Headshot accuracy14.7%−0.5%
first ⅓ avg 15.2% → last ⅓ avg 14.7%

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

0.18Best match rating · 13–3 · nuke, 15 Sept
31%Best headshot accuracy · 13–8 · vertigo, 8 Aug
336msFastest reaction time · 9–13 · nuke, 8 Sept
13–2Biggest win · ancient, 28 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
128In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 82% over 11infernoWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
ancientB23121152%0.04
anubisA1610663%0.02
mirageA148657%0.05
nukeB136746%0.05
dust2S119282%0.03
infernoC94544%0.03
cacheA74357%0.03
vertigoS64267%0.03
train110100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,335Lifetime kills
1.33K/D · Top 25% of Level 8 players
3,424Matches
44.5%Match win rate
39.2%Headshot %
10.3%Shot accuracy
9,632MVPs
1,291Hours (in match)
4,849Bombs planted
1,055Bombs defused

Most-used weapons

AK-4725,368
AWP7,843
MP93,174
AUG1,770
SSG 081,674
MAC-101,626

Lifetime map wins

6,625dust2
2,813inferno
1,848lake
1,501nuke
662vertigo
354train
165office
105italy

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

Faceit stats

Combat

558Matches
51%Win rate
1.15Avg K/D
86.0ADR
37%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient8058%1.1717.4
Mirage6749%1.2217.3
Nuke5252%1.2417.9
Inferno5040%1.0615.5
Dust24753%1.1415.7
Anubis4549%1.1918.2
Overpass2966%1.1717.2
Cache1331%1.0716.9

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.

14.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
40.8%Spray accuracy
69.7%Counter-strafing
9.7°Preaim
438msReaction time
26.1%T opening success
38.9%CT opening success
0.46Enemies flashed / flash
3.2%Flash assists
5.62HE damage / grenade
7.97Flashes / 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. 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 14.7869% — below the 15% mark we flag

    Aim Training
  2. 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 0.4583 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 26.0707% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–100.0718%15 Sept
nuke13–30.1820%15 Sept
mirage13–90.1721%15 Sept
ancient20–220.0411%8 Sept
ancient6–130.0120%8 Sept
nuke9–13-0.0314%8 Sept
ancient7–130.0811%4 Sept
anubis16–140.0615%4 Sept
nuke13–40.1010%29 Aug
mirage12–160.0515%29 Aug
inferno10–13-0.0214%29 Aug
anubis13–100.0414%29 Aug
ancient8–13-0.0317%29 Aug
ancient13–20.007%28 Aug
ancient13–60.1012%28 Aug
vertigo10–130.0314%28 Aug
anubis13–90.1017%28 Aug
ancient13–110.0722%28 Aug
anubis8–13-0.016%27 Aug
ancient9–130.0219%27 Aug
nuke13–100.1211%27 Aug
anubis2–130.049%27 Aug
cache13–60.0218%27 Aug
ancient13–100.0421%27 Aug
inferno19–170.0414%27 Aug
dust213–100.0518%27 Aug
inferno4–13-0.0315%27 Aug
dust213–4-0.019%26 Aug
ancient17–190.0918%26 Aug
anubis13–110.0412%26 Aug
mirage12–160.0117%26 Aug
dust211–13-0.0715%26 Aug
ancient5–130.0213%21 Aug
nuke6–130.0013%21 Aug
cache16–14-0.0215%19 Aug
dust213–11-0.0113%19 Aug
cache14–160.0212%12 Aug
mirage13–50.1020%12 Aug
ancient13–3-0.0010%12 Aug
nuke4–130.0826%10 Aug
anubis10–13-0.0111%10 Aug
anubis17–190.0612%8 Aug
ancient1–13-0.0115%8 Aug
vertigo13–80.0431%8 Aug
ancient5–130.0310%8 Aug
anubis13–10-0.028%8 Aug
ancient13–8-0.0116%8 Aug
vertigo13–50.077%7 Aug
nuke13–70.1513%7 Aug
nuke6–13-0.0715%4 Aug
dust213–100.0420%4 Aug
inferno13–50.0422%4 Aug
mirage8–130.048%4 Aug
ancient12–120.058%4 Aug
vertigo13–6-0.0418%4 Aug
ancient16–120.0516%2 Aug
dust210–130.019%2 Aug
mirage13–90.1517%28 Jul
dust213–60.0927%28 Jul
cache6–13-0.017%12 Jul
cache13–80.1215%12 Jul
ancient13–40.0711%12 Jul
anubis11–130.040%9 Jul
ancient13–60.0810%9 Jul
inferno13–110.079%9 Jul
cache13–50.1315%9 Jul
ancient19–170.0212%8 Jul
nuke12–16-0.0221%7 Jul
inferno13–30.0125%7 Jul
ancient13–60.0725%7 Jul
anubis13–30.059%6 Jul
inferno10–13-0.0710%5 Jul
anubis13–10-0.0117%5 Jul
mirage16–14-0.019%5 Jul
anubis13–11-0.019%5 Jul
mirage22–190.0314%5 Jul
mirage13–30.099%5 Jul
mirage3–13-0.0517%4 Jul
mirage13–30.0017%4 Jul
ancient13–80.0617%4 Jul
cache11–13-0.0713%3 Jul
vertigo6–13-0.0216%2 Jul
dust213–60.0618%2 Jul
ancient10–13-0.0324%1 Jul
nuke13–90.019%1 Jul
anubis13–9-0.009%1 Jul
mirage13–50.0417%1 Jul
anubis7–130.0421%29 Jun
nuke13–60.079%29 Jun
anubis13–11-0.0211%29 Jun
nuke6–130.0614%28 Jun
vertigo10–00.0917%28 Jun
mirage23–250.0120%28 Jun
dust213–110.0524%28 Jun
inferno9–130.178%25 Jun
train13–70.1112%23 Jun
dust213–90.1014%23 Jun
nuke10–130.0215%22 Jun
inferno8–130.0221%22 Jun
mirage15–150.0612%19 Jun

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 →