PederseNN

PederseNN — CS2 Stats

DK76561198071451259[U:1:111185531]Steam profile ↗✓ No bans

3,214Tracked matches43%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
FaceitLevel 10 · 2,913 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (64 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,913 → 2,913
+128Tracked matches · now 3,214
+6.7ppWin rate · 36.7% → 43.3%

Rating over time

Faceit ELO: 2,913 +0 28 Aug – 11 Sept · 2 observations
2,9132,913peak 2,91328 Aug11 Sept
2,913Highest Faceit ELO seen on CSDB
63Days played since 2025-07-29

Faceit ELO

  • At peak — 2,913
  • Next: 3,000 ELO at 3,000 — 87 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

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.

Share this profile

CSDB.GGPederseNNFACEITLevel 10 · 2,913 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,913csdb.gg/stats

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Performance scores

Aim86
Positioning64
Utility45

0–100 skill scores via Leetify.

Recent form

HOT52–44–4Last 10052%Win rateWLWWLWWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · +28ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 516ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 565ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

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 (+1.5 against its own average).

Aim8.6
Utility4.5
Positioning6.4
Opening Duels5.4
Clutch3.2

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 97% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning 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

Strengths

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

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 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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
Positioning6.4
Utility4.5
Mechanics6.3
Opening Duels4.4
Win Impact2.8

Composite 6.3/10 (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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time540ms−31ms
first ⅓ avg 572ms → last ⅓ avg 540ms
Headshot accuracy25.3%+0.8%
first ⅓ avg 24.5% → last ⅓ avg 25.3%

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

0.21Best match rating · 13–8 · nuke, 17 Oct →
40%Best headshot accuracy · 13–5 · inferno, 2 Nov →
313msFastest reaction time · 6–13 · inferno, 30 Jul →
13–1Biggest win · inferno, 14 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
8–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 67% over 6infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2113–862%0.02
anubisB179–853%0.00
infernoD165–1131%-0.01
dust2B115–645%-0.01
nukeC94–544%0.05
overpassA85–363%-0.00
trainS64–267%0.03
vertigo—42–250%0.10
cache—31–233%-0.01
cache_b—11–0100%0.07
golden—10–10%0.08
italy—11–0100%0.10
palacio—11–0100%0.01
mirage—11–0100%0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,917Matches
52%Win rate
1.12Avg K/D
80.5ADR
53%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
16Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient61653%1.1617.5
Anubis43751%1.0816.1
Inferno34855%1.1316.5
Dust234042%1.0115.4
Nuke19453%1.0415.8
Mirage18145%0.9514.6
Overpass15854%1.0516.4
Vertigo10861%1.1317.0

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.

24.6%Headshot accuracy
37.0%Accuracy (enemy spotted)
43.1%Spray accuracy
78.3%Counter-strafing
9.4°Preaim
545msReaction time
38.8%T opening success
56.6%CT opening success
0.36Enemies flashed / flash
6.6%Flash assists
6.90HE damage / grenade
7.14Flashes / 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. 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 0.3605 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 38.7884% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0425%26 Oct →
anubis9–13-0.0320%25 Oct →
cache13–70.0127%24 Oct →
nuke13–80.2125%17 Oct →
cache11–13-0.0532%16 Oct →
anubis13–40.0733%14 Oct →
dust213–10-0.0323%4 Oct →
anubis13–80.0632%27 Sept →
ancient13–2-0.0129%25 Sept →
inferno11–13-0.0824%19 Sept →
ancient11–13-0.0125%16 Sept →
cache7–130.0124%8 Sept →
inferno9–130.0434%5 Sept →
anubis13–11-0.0518%4 Sept →
dust29–13-0.0533%26 Aug →
ancient11–13-0.0221%12 Aug →
dust213–20.0823%9 Aug →
ancient13–7-0.0325%9 Aug →
ancient13–110.0420%9 Aug →
dust216–120.0212%6 Aug →
anubis9–13-0.0310%5 Aug →
ancient13–70.0535%2 Aug →
ancient11–13-0.0220%31 Jul →
dust26–13-0.0524%24 Jul →
ancient14–16-0.0033%3 Jun →
nuke5–13-0.0428%15 May →
inferno11–13-0.0122%15 May →
anubis6–130.0228%15 May →
nuke16–19-0.0322%15 May →
inferno8–13-0.0518%15 May →
dust213–90.0336%29 Apr →
ancient13–90.0123%18 Apr →
anubis13–50.0429%4 Apr →
inferno11–13-0.0316%31 Mar →
ancient16–14-0.0123%12 Mar →
ancient13–16-0.0713%12 Mar →
anubis9–13-0.0516%12 Mar →
anubis13–10-0.0432%12 Mar →
nuke5–130.0423%8 Mar →
nuke5–130.0423%8 Mar →
anubis4–13-0.0419%8 Mar →
anubis4–13-0.0419%8 Mar →
overpass1–13-0.0328%8 Mar →
overpass1–13-0.0328%8 Mar →
inferno4–13-0.0338%8 Mar →
inferno4–13-0.0338%8 Mar →
inferno3–13-0.0125%8 Mar →
inferno3–13-0.0125%8 Mar →
overpass13–100.0723%6 Mar →
anubis13–80.0433%25 Feb →
overpass13–10-0.0721%25 Feb →
inferno13–80.0030%17 Feb →
nuke13–110.0025%16 Feb →
ancient13–60.0118%5 Feb →
inferno13–6-0.0224%4 Feb →
anubis13–11-0.0320%18 Jan →
train13–20.0114%6 Jan →
anubis12–12-0.0116%1 Jan →
inferno16–14-0.0112%1 Jan →
nuke16–140.0917%30 Dec →
nuke9–130.1525%20 Dec →
dust28–13-0.0136%20 Dec →
ancient10–13-0.0022%18 Dec →
ancient7–13-0.0228%16 Dec →
overpass9–13-0.0224%16 Dec →
vertigo13–100.1730%16 Dec →
train13–100.0326%16 Dec →
anubis13–40.0731%16 Dec →
cache_b13–30.0727%16 Dec →
ancient13–100.1231%26 Nov →
inferno17–19-0.0225%25 Nov →
golden12–120.0826%22 Nov →
anubis13–60.0518%22 Nov →
train7–13-0.0221%22 Nov →
ancient13–70.0332%21 Nov →
ancient6–130.0430%20 Nov →
vertigo12–120.0622%2 Nov →
italy13–50.1032%2 Nov →
palacio10–20.0115%2 Nov →
inferno13–50.0640%2 Nov →
anubis12–120.0423%16 Oct →
train11–13-0.0522%12 Oct →
dust213–50.0028%12 Oct →
overpass13–80.0117%10 Oct →
ancient13–20.0519%3 Oct →
dust28–13-0.1012%3 Oct →
vertigo9–130.1131%18 Sept →
inferno13–10.1118%14 Sept →
vertigo13–70.0518%13 Sept →
mirage13–70.1129%13 Sept →
ancient13–70.2031%7 Sept →
train10–30.1916%7 Sept →
dust27–13-0.0223%4 Sept →
ancient13–4-0.0135%2 Sept →
dust210–13-0.0124%25 Aug →
nuke13–10-0.0218%23 Aug →
inferno6–13-0.0618%30 Jul →
overpass13–6-0.0229%30 Jul →
train13–90.0319%29 Jul →
overpass13–40.0831%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K 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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