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pederseN

pederseN — CS2 Stats

NO76561198179915685[U:1:219649957]Steam profile ↗

1,112Tracked matches48%Win rate2020Tracked since
2,200Hours in CS
CSDB Rating5.8 SolidAggressive Rifler
Premier CS Rating24,755Top 25% of 29,473 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#6380 of 46123 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.8%47.1%50.0%5.3% short
Shot accuracy18.4%12.8%13.5%above
Kill/death ratio1.081.081.130.05 short
Match win rate45.9%46.6%48.4%2.5% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpederseNPREMIER24,755 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning59
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLLLWLWWWWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression7.1
Utility5.3
Positioning5.9
Opening Duels2.7
Clutch5.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 577ms 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

Aim7.1
Positioning5.9
Utility5.3
Mechanics6.0
Opening Duels2.7
Win Impact4.4

Composite 5.8/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time563ms−39ms
first ⅓ avg 602ms → last ⅓ avg 563ms
Headshot accuracy25.2%+2.5%
first ⅓ avg 22.7% → last ⅓ avg 25.2%

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.

Highlights

0.12Best rating — mirage 13–3
13–1Biggest win — dust2
8Longest win streak
L3Current streak
15–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 72% over 18ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%0.02
overpassS1813–572%-0.00
infernoB168–850%0.02
dust2A138–562%0.01
nukeB126–650%-0.01
trainB84–450%0.01
ancientC52–340%0.03
anubis—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,901Lifetime kills
1.08K/D
4,819Matches
45.9%Match win rate
44.8%Headshot %
18.4%Shot accuracy · Top 10% of Pink band
14,900MVPs
2,200Hours (in match)
5,590Bombs planted
1,408Bombs defused

Most-used weapons

AK-4730,960
AWP16,021
M4A4 / M4A1-S14,562
Desert Eagle7,151
P2000 / USP-S5,927
Glock-183,301
Knife2,346
P2501,814
FAMAS1,748
Galil AR1,616

Lifetime map wins

7,396inferno
6,316dust2
3,484nuke
1,915train
1,241vertigo
804cbble
145office
66militia

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

Faceit stats

Combat

1,192Matches
51%Win rate
1.15Avg K/D
83.3ADR
45%Headshot %

Clutches & streaks

47%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8852%1.1817.2
Inferno4050%1.1517.1
Ancient3560%1.1016.9
Dust23262%1.2217.0
Anubis3142%1.0615.9
Train1464%1.3517.3
Overpass1331%1.0515.2
Nuke1040%1.2317.8

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.

24.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.0%Spray accuracy
77.0%Counter-strafing
10.5°Preaim
577msReaction time
35.3%T opening success
46.3%CT opening success
0.49Enemies flashed / flash
8.4%Flash assists
9.09HE damage / grenade
5.66Flashes / 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 0.4923 — 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 35.2786% — below the 40% mark we flag

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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.0327%26 Apr →
nuke5–13-0.0343%19 Apr →
overpass7–13-0.0018%12 Apr →
nuke13–110.0223%12 Apr →
anubis12–160.0330%8 Apr →
nuke16–13-0.0716%8 Apr →
dust213–20.0925%5 Apr →
mirage13–30.1232%5 Apr →
inferno13–90.1121%5 Apr →
mirage6–13-0.0033%15 Mar →
overpass8–130.0422%25 Feb →
inferno13–80.0320%21 Feb →
dust24–3-0.0550%21 Feb →
mirage5–130.0224%21 Feb →
mirage3–13-0.0531%20 Feb →
ancient2–13-0.0530%13 Feb →
overpass11–13-0.0118%13 Feb →
inferno10–13-0.0214%13 Feb →
overpass13–6-0.0120%9 Feb →
dust25–130.0122%9 Feb →
inferno13–100.0424%1 Feb →
mirage13–7-0.0019%29 Jan →
inferno13–50.0522%29 Jan →
mirage13–50.0719%26 Jan →
mirage3–130.1039%17 Jan →
mirage13–90.0321%14 Dec →
train10–130.0324%16 Nov →
mirage2–130.0425%14 Nov →
train13–6-0.0231%14 Nov →
nuke15–15-0.0313%14 Nov →
dust22–13-0.0620%14 Nov →
inferno9–13-0.0037%14 Nov →
overpass13–30.0118%14 Nov →
mirage6–13-0.0123%12 Nov →
overpass13–4-0.0618%12 Nov →
nuke7–13-0.0219%12 Nov →
inferno13–8-0.0320%12 Nov →
train13–20.1127%12 Nov →
dust213–2-0.0318%12 Nov →
train13–6-0.0120%9 Nov →
overpass13–8-0.0317%9 Nov →
inferno4–13-0.0216%9 Nov →
dust24–13-0.0544%7 Nov →
mirage7–130.0024%7 Nov →
inferno13–110.0723%7 Nov →
overpass13–11-0.0317%2 Nov →
dust213–3-0.0123%2 Nov →
overpass16–14-0.019%1 Nov →
mirage13–160.0129%1 Nov →
mirage13–60.0129%1 Nov →
mirage13–60.0422%1 Nov →
nuke7–130.0522%1 Nov →
inferno7–130.0213%1 Nov →
train11–13-0.0117%1 Nov →
mirage6–13-0.0533%31 Oct →
overpass13–90.0529%27 Oct →
dust213–10.1226%27 Oct →
train10–13-0.0232%26 Oct →
inferno13–80.0129%26 Oct →
ancient16–140.0316%26 Oct →
nuke13–7-0.0341%26 Oct →
mirage14–16-0.0127%26 Oct →
dust213–100.0617%26 Oct →
inferno14–16-0.0615%26 Oct →
overpass13–110.0422%25 Oct →
mirage13–11-0.075%23 Oct →
overpass13–4-0.0221%23 Oct →
mirage8–130.0029%1 Oct →
ancient5–13-0.0234%20 Sept →
nuke8–12-0.0524%20 Sept →
train11–13-0.059%20 Sept →
dust28–13-0.0330%20 Sept →
overpass13–110.0321%20 Sept →
mirage9–130.0327%20 Sept →
overpass13–110.0927%20 Sept →
overpass15–15-0.058%20 Sept →
nuke10–13-0.0126%19 Sept →
inferno15–150.0818%19 Sept →
overpass11–13-0.0520%19 Sept →
nuke13–60.0019%19 Sept →
dust25–130.0018%19 Sept →
mirage7–13-0.0119%19 Sept →
mirage16–14-0.0312%18 Sept →
dust213–3-0.0138%18 Sept →
mirage13–70.0529%17 Sept →
ancient10–130.0719%17 Sept →
overpass3–4-0.0230%17 Sept →
nuke13–110.0118%17 Sept →
inferno15–150.0020%9 Sept →
nuke16–120.0431%9 Sept →
mirage13–110.0425%8 Sept →
mirage4–130.0325%5 Sept →
train13–100.0432%5 Sept →
mirage13–70.0417%4 Sept →
overpass13–9-0.0329%4 Sept →
mirage13–100.0319%2 Sept →
ancient13–110.1022%28 Aug →
inferno13–100.0218%26 Aug →
dust213–40.0823%26 Aug →
mirage13–2-0.0113%26 Aug →

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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