󠁳⁧⁧ fidann @jpn

󠁳⁧⁧ fidann @jpn — CS2 Stats

CH76561198232572772[U:1:272307044]Steam profile ↗✓ No bans

1,852Tracked matches61%Win rate2020Tracked since
CSDB Rating6.8 SolidSupport
Premier CS Rating24,157Top 25% of 204,150 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#29698 of 251271 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,852 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,157 -611 28 Mar – 17 Sept · 17 days played
23,62726,472peak 26,47228 Mar17 Sept
26,472Peak Premier in tracked matches
2,379Highest Faceit ELO seen on CSDB
37Days played since 2026-03-28

Faceit ELO

  • At peak — 2,379
  • Next: 2,500 ELO at 2,500 — 121 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-17
  • Level 9 first seen 2026-09-17

Premier CS Rating

  • 2,315 below peak (26,472)
  • 0 over 30 days · steady
  • -728 over 90 days
  • Next: Red band at 25,000 — 843 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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.GG󠁳⁧⁧ fidann @jpnPREMIER24,157 · Pink bandPEAK ELO2,379csdb.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

Aim80
Positioning61
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateLLWLWWWLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +2.8pp headshot accuracy · +39ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 576ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

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 (+1.5 against its own average).

Aim8.0
Utility7.1
Positioning6.1
Opening Duels4.8
Clutch4.4

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

device

Plays most like device 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 562ms 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

Aim8.0
Positioning6.1
Utility7.1
Mechanics5.0
Opening Duels3.6
Win Impact8.6

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time563ms−31ms
first ⅓ avg 594ms → last ⅓ avg 563ms
Headshot accuracy21.2%+2.3%
first ⅓ avg 18.9% → last ⅓ avg 21.2%

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

0.51Best match rating · 9–1 · vertigo, 25 Jun →
50%Best headshot accuracy · 1–3 · cache, 18 Jul →
391msFastest reaction time · 13–4 · ancient, 28 Mar →
13–1Biggest win · cache, 25 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 79% over 14mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
cacheA2313–1057%0.01
dust2C146–843%0.00
ancientS1411–379%0.02
anubisD134–931%0.01
vertigoB126–650%0.10
nukeB63–350%-0.01
overpassB63–350%-0.02
mirageD50–50%-0.01
sanctum—32–167%-0.00
fachwerk—11–0100%0.10
eldorado—11–0100%0.05
debris—10–10%-0.15
inferno—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

710Matches
54%Win rate
1.10Avg K/D
75.8ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6060%1.1815.7
Dust23554%0.9013.4
Anubis2741%1.0315.4
Train2462%1.2614.7
Vertigo1527%1.0815.7
Overpass1362%1.2517.5
Nuke1070%0.9314.8
Mirage825%1.1914.5

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.

19.4%Headshot accuracy
38.8%Accuracy (enemy spotted)
42.6%Spray accuracy
72.7%Counter-strafing
8.9°Preaim
562msReaction time
40.4%T opening success
48.8%CT opening success
0.58Enemies flashed / flash
6.5%Flash assists
12.62HE damage / grenade
17.76Flashes / match

Recommended for you

Spend your practice time on Mirage

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 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0314%14 Aug →
dust22–130.0026%14 Aug →
dust213–6-0.0114%7 Aug →
cache8–13-0.0636%7 Aug →
anubis13–40.0719%28 Jul →
ancient13–11-0.0512%25 Jul →
ancient13–110.0518%24 Jul →
cache1–30.0150%18 Jul →
cache13–70.0312%18 Jul →
nuke16–120.0326%18 Jul →
dust20–13-0.0525%18 Jul →
dust27–13-0.0114%17 Jul →
cache13–60.1022%17 Jul →
anubis13–20.1129%17 Jul →
cache9–130.0011%17 Jul →
ancient13–80.1223%12 Jul →
dust213–60.0825%11 Jul →
dust213–80.0218%11 Jul →
cache11–13-0.0422%11 Jul →
anubis15–150.0211%10 Jul →
mirage5–13-0.0532%10 Jul →
cache13–40.0213%9 Jul →
fachwerk13–40.1024%9 Jul →
eldorado9–20.0536%9 Jul →
debris2–9-0.1529%9 Jul →
cache4–13-0.0110%4 Jul →
overpass13–100.0719%3 Jul →
anubis10–13-0.0116%3 Jul →
cache13–110.0513%3 Jul →
cache13–3-0.0312%3 Jul →
ancient13–80.0119%30 Jun →
vertigo9–40.3223%27 Jun →
cache12–120.0426%27 Jun →
ancient13–6-0.0021%25 Jun →
vertigo9–10.5134%25 Jun →
cache13–10.0520%25 Jun →
mirage5–13-0.0318%24 Jun →
dust29–13-0.0315%24 Jun →
cache19–160.0215%24 Jun →
anubis6–130.0418%24 Jun →
mirage11–13-0.0119%24 Jun →
ancient10–13-0.0220%24 Jun →
anubis5–13-0.0317%23 Jun →
ancient16–13-0.0417%23 Jun →
anubis4–13-0.0513%23 Jun →
overpass9–13-0.0118%22 Jun →
dust213–70.0923%22 Jun →
vertigo7–9-0.0312%22 Jun →
inferno13–11-0.0311%22 Jun →
vertigo2–9-0.1227%6 Jun →
vertigo9–30.1220%6 Jun →
vertigo7–9-0.0112%6 Jun →
dust28–13-0.0518%16 May →
ancient8–130.0113%16 May →
nuke3–13-0.0615%16 May →
dust214–16-0.0224%15 May →
ancient13–60.0235%15 May →
vertigo5–9-0.0129%9 May →
vertigo9–40.2434%9 May →
sanctum9–30.1026%9 May →
vertigo9–00.166%7 May →
vertigo8–80.0131%7 May →
vertigo8–8-0.0119%6 May →
sanctum9–7-0.0819%6 May →
sanctum6–9-0.039%6 May →
cache5–13-0.0521%6 May →
vertigo9–40.0814%5 May →
cache13–60.0527%5 May →
cache13–6-0.0027%3 May →
cache13–90.0719%3 May →
cache8–13-0.0217%3 May →
cache13–8-0.0123%3 May →
nuke13–9-0.0414%2 May →
overpass13–9-0.0513%2 May →
cache13–80.0325%2 May →
cache6–10.077%2 May →
overpass2–13-0.0418%2 May →
nuke6–0-0.0311%2 May →
overpass7–13-0.0721%2 May →
cache11–130.0121%30 Apr →
anubis3–130.0022%30 Apr →
cache12–12-0.0238%28 Apr →
anubis13–90.039%25 Apr →
dust29–130.0319%25 Apr →
anubis10–13-0.069%25 Apr →
anubis13–100.0014%24 Apr →
dust213–110.0322%24 Apr →
dust213–50.0338%21 Apr →
ancient13–60.0110%18 Apr →
ancient13–110.0420%18 Apr →
ancient15–15-0.0217%18 Apr →
ancient13–70.0221%18 Apr →
dust212–16-0.087%11 Apr →
overpass13–9-0.0119%11 Apr →
anubis3–130.0512%29 Mar →
mirage8–13-0.0329%29 Mar →
nuke7–13-0.0115%29 Mar →
nuke7–130.0721%29 Mar →
mirage4–130.0816%29 Mar →
ancient13–40.0825%28 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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