Fridolin

Fridolin — CS2 Stats

DE76561198218801468[U:1:258535740]Steam profile ↗✓ No bans

771Tracked matches57%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating24,999Top 25% of 206,528 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22279 of 253845 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (37 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: 24,999 -1,948 30 May – 12 Sept · 20 days played
23,71526,947peak 26,94730 May12 Sept
27,048Peak Premier in tracked matches
26Days played since 2026-05-30

Premier CS Rating

  • 1,948 below peak (26,947)
  • -502 over 90 days
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGFridolinFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,999 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning60
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLLLWWWLLW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +0.2pp headshot accuracy · +9ms 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 23%
  • Avg reaction 628ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 633ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 629ms

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 (+1.3 against its own average).

Aim7.6
Utility3.9
Positioning6.0
Opening Duels5.1
Clutch3.6

Limited utility dependence

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

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

T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim7.6
Positioning6.0
Utility3.9
Mechanics6.8
Opening Duels4.5
Win Impact7.2

Composite 6.4/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time613ms+3ms
first ⅓ avg 611ms → last ⅓ avg 613ms
Headshot accuracy20.7%+1.3%
first ⅓ avg 19.3% → last ⅓ avg 20.7%

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

0.15Best match rating · 13–0 · dust2, 28 Jun →
47%Best headshot accuracy · 5–13 · dust2, 4 Jul →
438msFastest reaction time · 8–13 · nuke, 30 Jun →
13–0Biggest win · dust2, 28 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 69% over 13dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageC2710–1737%0.01
dust2C207–1335%-0.01
cacheB136–746%0.02
ancientA138–562%0.01
nukeS139–469%0.01
anubisC104–640%0.03
inferno—21–150%0.00
vertigo—10–10%0.07
overpass—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

490Matches
55%Win rate
1.28Avg K/D
87.9ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%1.0716.7
Anubis875%1.6120.6
Ancient786%1.1716.0
Dust2540%0.9613.2
Nuke250%1.2817.0
Overpass1100%1.8018.0
Vertigo10%0.628.0

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.

20.4%Headshot accuracy
36.0%Accuracy (enemy spotted)
38.0%Spray accuracy
80.4%Counter-strafing
8.7°Preaim
614msReaction time
39.8%T opening success
56.3%CT opening success
0.56Enemies flashed / flash
1.4%Flash assists
6.06HE damage / grenade
4.76Flashes / 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

    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 39.8434% — below the 40% mark we flag

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.

35% win rate across 20 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
cache13–11-0.0313%12 Sept →
ancient10–13-0.0414%12 Sept →
dust23–13-0.0641%12 Sept →
anubis4–130.0123%10 Sept →
mirage13–8-0.0026%9 Sept →
nuke13–60.0416%9 Sept →
dust213–110.0015%6 Sept →
mirage1–13-0.019%26 Jul →
mirage3–13-0.0519%24 Jul →
inferno13–110.0112%19 Jul →
cache13–50.0721%19 Jul →
cache13–20.1115%19 Jul →
cache6–130.0618%19 Jul →
mirage5–130.036%18 Jul →
dust213–50.0426%18 Jul →
nuke13–3-0.0019%18 Jul →
anubis13–80.0419%18 Jul →
ancient13–30.0023%18 Jul →
dust25–13-0.0425%18 Jul →
cache13–80.0315%18 Jul →
ancient9–130.0422%18 Jul →
cache13–90.0216%18 Jul →
mirage6–13-0.0019%5 Jul →
mirage9–13-0.0116%4 Jul →
anubis11–130.0623%4 Jul →
dust25–13-0.0347%4 Jul →
mirage13–10.0324%4 Jul →
nuke13–10-0.0732%4 Jul →
dust213–100.0021%3 Jul →
nuke13–50.0623%3 Jul →
mirage13–80.0321%3 Jul →
mirage13–80.0224%2 Jul →
mirage13–70.0118%2 Jul →
mirage7–13-0.1211%2 Jul →
dust27–13-0.0420%2 Jul →
mirage13–16-0.0616%2 Jul →
dust213–8-0.0215%2 Jul →
dust29–130.0228%2 Jul →
cache4–13-0.0333%2 Jul →
mirage7–130.0320%30 Jun →
nuke8–130.0517%30 Jun →
anubis16–13-0.0217%30 Jun →
ancient13–100.0726%30 Jun →
ancient13–100.0217%30 Jun →
vertigo12–120.0717%29 Jun →
cache1–13-0.0222%29 Jun →
cache0–13-0.1012%29 Jun →
ancient13–110.0217%28 Jun →
mirage8–130.0217%28 Jun →
mirage11–13-0.0216%28 Jun →
mirage13–20.0335%28 Jun →
nuke13–100.0512%28 Jun →
dust26–13-0.0718%28 Jun →
mirage13–100.0217%28 Jun →
dust213–00.1529%28 Jun →
ancient8–13-0.003%28 Jun →
mirage8–13-0.0316%28 Jun →
dust27–13-0.0616%28 Jun →
nuke5–130.0421%22 Jun →
dust23–13-0.0533%21 Jun →
nuke3–13-0.0426%21 Jun →
nuke13–80.0123%21 Jun →
mirage6–130.0718%21 Jun →
ancient13–11-0.0015%21 Jun →
nuke5–13-0.0527%21 Jun →
mirage9–13-0.0024%21 Jun →
cache9–130.0720%15 Jun →
cache12–120.0719%15 Jun →
cache10–13-0.0119%14 Jun →
mirage13–70.0611%14 Jun →
nuke13–40.0130%14 Jun →
dust216–130.0120%14 Jun →
ancient13–100.0219%14 Jun →
ancient13–20.0427%14 Jun →
dust26–13-0.0339%14 Jun →
anubis11–130.0720%14 Jun →
dust215–15-0.038%14 Jun →
ancient13–80.018%9 Jun →
mirage14–160.0117%9 Jun →
anubis13–50.1030%7 Jun →
mirage7–130.0326%7 Jun →
ancient8–13-0.0123%7 Jun →
mirage13–70.1018%7 Jun →
inferno3–13-0.0140%7 Jun →
dust24–13-0.0715%7 Jun →
dust213–16-0.0417%7 Jun →
nuke16–14-0.0022%5 Jun →
overpass3–50.037%5 Jun →
anubis8–130.0214%5 Jun →
mirage2–13-0.0328%3 Jun →
anubis13–70.029%3 Jun →
mirage4–13-0.080%3 Jun →
anubis5–13-0.0516%2 Jun →
dust210–130.0120%2 Jun →
dust213–100.0416%2 Jun →
nuke13–20.0331%31 May →
anubis7–130.0115%31 May →
ancient4–13-0.0111%31 May →
mirage13–40.1114%30 May →
cache13–90.0031%30 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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