Fidelesa

Fidelesa — CS2 Stats

76561198015890969[U:1:55625241]Steam profile ↗✓ No bans

1,327Tracked matches57%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
Premier CS Rating19,889Top 50% of 215,386 CSDB-tracked playersPurple band · top ~8.9% of ranked players (population est.)
CSDB Leaderboard#88608 of 261588 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,327 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,889 +4,890 23 Jun – 12 Nov · 49 days played
14,99920,378peak 20,37823 Jun12 Nov
20,378Peak Premier in tracked matches
65Days played since 2026-06-23

Premier CS Rating

  • 489 below peak (20,378)
  • +115 over 30 days · steady
  • +1,619 over 90 days
  • Next: Pink band at 20,000 — 111 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGFidelesaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,889 · Purple bandcsdb.gg/stats

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Performance scores

Aim86
Positioning71
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLLWLWLLLWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · +46ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 544ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 532ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 509ms

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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim8.6
Utility4.0
Positioning7.1
Opening Duels5.7
Clutch6.0

Sharp aimer

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6
Positioning7.1
Utility4.0
Mechanics7.8
Opening Duels7.6
Win Impact7.2

Composite 7.2/10 (Strong), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time513ms−70ms
first ⅓ avg 583ms → last ⅓ avg 513ms
Headshot accuracy13.0%−3.3%
first ⅓ avg 16.3% → last ⅓ avg 13.0%

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 · 5–4 · dust2, 23 Aug →
33%Best headshot accuracy · 4–13 · dust2, 26 Jul →
359msFastest reaction time · 4–13 · dust2, 26 Oct →
13–1Biggest win · cache, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
10–2In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 70% over 30ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
cacheS3021–970%0.00
mirageS2315–865%0.00
ancientD134–931%0.01
dust2A117–464%0.01
infernoA117–464%0.03
nukeC83–538%-0.00
anubis—32–167%0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

396Matches
53%Win rate
1.14Avg K/D
91.7ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%1.7716.6
Ancient978%1.4116.9
Nuke617%1.0815.0
Inferno650%1.1218.0
Overpass4100%1.2218.0
Train425%0.9817.0
Anubis367%1.2219.0
Vertigo1100%1.6715.0

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.

12.8%Headshot accuracy
38.7%Accuracy (enemy spotted)
45.0%Spray accuracy
85.0%Counter-strafing
8.0°Preaim
515msReaction time
60.5%T opening success
60.0%CT opening success
0.38Enemies flashed / flash
4.8%Flash assists
8.93HE damage / grenade
6.29Flashes / 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 12.7615% — 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 0.3775 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0517%30 Oct →
nuke10–13-0.039%28 Oct →
cache13–80.049%27 Oct →
dust24–13-0.0921%26 Oct →
mirage16–12-0.035%21 Oct →
inferno8–13-0.059%21 Oct →
nuke13–16-0.0116%19 Oct →
ancient7–13-0.0616%18 Oct →
mirage16–130.0710%17 Oct →
cache13–30.1012%16 Oct →
ancient5–13-0.059%14 Oct →
dust213–5-0.0117%14 Oct →
cache12–16-0.037%13 Oct →
ancient13–50.0214%6 Oct →
mirage16–140.0110%4 Oct →
mirage13–110.0313%3 Oct →
ancient4–10-0.038%25 Sept →
mirage16–140.0612%23 Sept →
mirage3–13-0.034%21 Sept →
inferno13–90.0416%19 Sept →
dust213–40.052%17 Sept →
anubis13–30.0816%16 Sept →
cache11–130.0131%13 Sept →
cache13–110.0122%13 Sept →
mirage13–11-0.0416%13 Sept →
cache13–110.0111%10 Sept →
inferno13–30.0716%10 Sept →
dust210–6-0.0313%6 Sept →
ancient9–130.0915%6 Sept →
ancient9–13-0.016%3 Sept →
mirage13–110.0213%2 Sept →
nuke13–160.0522%1 Sept →
inferno15–150.0510%1 Sept →
ancient6–13-0.0225%31 Aug →
mirage8–13-0.0213%29 Aug →
dust27–13-0.0115%29 Aug →
inferno13–60.0518%28 Aug →
inferno13–100.056%27 Aug →
dust213–60.0017%26 Aug →
mirage3–10-0.0420%24 Aug →
ancient13–70.0620%23 Aug →
dust25–40.1017%23 Aug →
dust28–130.0915%21 Aug →
dust213–9-0.0016%21 Aug →
cache4–13-0.0823%19 Aug →
inferno13–70.0619%19 Aug →
mirage13–60.0021%19 Aug →
mirage13–7-0.0319%19 Aug →
mirage9–13-0.0111%18 Aug →
nuke10–13-0.0321%17 Aug →
dust213–11-0.0614%14 Aug →
cache13–70.0115%12 Aug →
inferno10–130.0320%12 Aug →
mirage7–13-0.015%10 Aug →
cache13–8-0.028%7 Aug →
cache13–70.0719%3 Aug →
mirage13–5-0.033%28 Jul →
anubis3–13-0.059%26 Jul →
dust24–130.0133%26 Jul →
nuke13–80.0010%24 Jul →
cache13–10.0711%24 Jul →
mirage13–50.0320%24 Jul →
anubis13–100.0313%23 Jul →
nuke13–11-0.0210%21 Jul →
mirage13–80.0215%20 Jul →
ancient11–130.0214%20 Jul →
nuke8–10.0514%18 Jul →
ancient3–70.0516%18 Jul →
inferno13–70.0523%16 Jul →
ancient13–90.0010%15 Jul →
mirage13–10.0312%15 Jul →
mirage13–90.0221%14 Jul →
inferno13–9-0.039%13 Jul →
cache13–50.0116%13 Jul →
mirage6–13-0.0116%13 Jul →
cache9–130.0010%12 Jul →
ancient9–130.0315%12 Jul →
mirage10–13-0.0617%12 Jul →
cache8–13-0.068%7 Jul →
cache13–10-0.0718%7 Jul →
mirage10–130.0417%5 Jul →
cache6–130.0311%5 Jul →
mirage13–7-0.0117%5 Jul →
cache13–8-0.0227%4 Jul →
cache4–13-0.0115%4 Jul →
cache8–13-0.0410%3 Jul →
cache13–90.0328%2 Jul →
cache13–7-0.0311%2 Jul →
cache13–100.0218%2 Jul →
cache13–9-0.0617%2 Jul →
inferno9–13-0.019%1 Jul →
cache13–100.0025%1 Jul →
cache13–90.0215%1 Jul →
vertigo2–13-0.0416%30 Jun →
cache13–90.1015%27 Jun →
cache13–6-0.0029%25 Jun →
cache13–90.0214%25 Jun →
cache4–13-0.0621%24 Jun →
cache13–90.0514%23 Jun →
ancient13–100.0218%23 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 →

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