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dullerthread' — CS2 Stats

76561198347491558[U:1:387225830]✓ No bans

1,422Tracked matches57%Win rate2020Tracked since
1,882Hours in CS
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate42.4%42.1%42.5%meets
Shot accuracy17.3%12.1%10.9%above
Kill/death ratio1.130.990.99above
Match win rate47.9%43.9%44.2%above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGdullerthread'FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning42
Utility48

0–100 skill scores via Leetify.

Recent form

HOT46–53–1Last 10046%Win rateWWWWWWWWLL

Last 10 vs previous 10: +40pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3
Aggression5.2
Utility4.8
Positioning4.2
Opening Duels1.2
Clutch0.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 679ms 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

Aim6.3
Positioning4.2
Utility4.8
Mechanics7.3
Opening Duels1.6
Win Impact7.2

Composite 5.4/10 (Developing), 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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time687ms−18ms
first ⅓ avg 704ms → last ⅓ avg 687ms
Headshot accuracy20.1%+1.1%
first ⅓ avg 19.0% → last ⅓ avg 20.1%

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

0.15Best rating — inferno 13–5
13–0Biggest win — anubis
8Longest win streak
W8Current streak
8–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 73% over 11nukeWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%-0.01
dust2B2111–1052%-0.01
infernoC167–944%-0.00
anubisS118–373%0.00
ancientC114–736%0.00
nukeD70–70%-0.02
overpass—30–30%0.00
cache—10–10%0.03
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,616Lifetime kills
1.13K/D · Top 25% of Level 3 players
4,359Matches
47.9%Match win rate · Top 25% of Level 3 players
42.4%Headshot % · Top 50% of Level 3 players
17.3%Shot accuracy · Top 25% of Level 3 players
13,007MVPs
1,882Hours (in match)
7,615Bombs planted
1,643Bombs defused

Most-used weapons

AK-4734,219
AWP17,090
M4A4 / M4A1-S14,814
Desert Eagle6,806
P2000 / USP-S5,823
Glock-184,003
MP91,604
MAC-101,438
FAMAS1,073
Knife631

Lifetime map wins

6,298inferno
6,281dust2
3,454train
3,319nuke
1,509vertigo
557cbble
88lake
42office

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

Faceit stats

Combat

287Matches
51%Win rate
1.35Avg K/D
21.4ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

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.

20.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
33.3%Spray accuracy
82.7%Counter-strafing
9.8°Preaim
679msReaction time
26.4%T opening success
42.9%CT opening success
0.56Enemies flashed / flash
5.3%Flash assists
6.93HE damage / grenade
9.16Flashes / 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 26.351% — below the 40% mark we flag

Spend your practice time on Nuke

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.0212%13 Aug →
anubis16–140.0114%12 Aug →
mirage13–80.0527%12 Aug →
anubis16–12-0.056%10 Aug →
mirage13–10-0.0714%10 Aug →
mirage13–1-0.0622%10 Aug →
mirage13–80.0627%9 Aug →
dust213–90.0224%25 May →
mirage10–13-0.0619%24 May →
dust211–13-0.0136%24 May →
dust213–110.0418%12 May →
cache7–130.0316%29 Apr →
inferno13–50.1530%27 Apr →
mirage10–130.0027%27 Apr →
anubis7–13-0.0632%26 Apr →
inferno5–130.0324%26 Apr →
anubis13–60.0217%26 Apr →
mirage4–13-0.0132%25 Apr →
ancient9–13-0.017%22 Apr →
inferno13–10-0.0024%18 Apr →
dust28–130.0320%14 Apr →
inferno3–13-0.0111%12 Apr →
inferno13–11-0.0413%12 Apr →
dust213–9-0.0322%12 Apr →
mirage13–30.1118%12 Apr →
ancient9–130.0017%12 Apr →
nuke10–13-0.0223%2 Apr →
nuke8–13-0.0214%22 Mar →
inferno13–11-0.0219%21 Mar →
dust213–8-0.0423%21 Mar →
ancient13–90.0125%21 Mar →
ancient13–40.0318%21 Mar →
anubis12–16-0.0115%19 Mar →
inferno8–13-0.0116%18 Mar →
mirage5–13-0.0215%17 Mar →
inferno11–13-0.0120%16 Mar →
dust213–9-0.0713%16 Mar →
inferno10–13-0.0321%13 Mar →
mirage16–12-0.0520%11 Mar →
mirage4–13-0.0212%11 Mar →
anubis7–13-0.0210%8 Mar →
inferno11–13-0.0822%8 Mar →
ancient7–130.0313%7 Mar →
inferno13–90.0322%7 Mar →
nuke5–13-0.0117%22 Feb →
dust211–130.1114%22 Feb →
mirage11–13-0.0224%22 Feb →
nuke10–130.0017%20 Feb →
overpass10–130.0117%19 Feb →
dust213–110.0014%18 Feb →
mirage3–13-0.0526%18 Feb →
ancient9–13-0.0123%17 Feb →
mirage11–13-0.0415%17 Feb →
inferno13–10-0.0021%16 Feb →
overpass4–130.0220%16 Feb →
mirage13–5-0.0416%16 Feb →
ancient13–90.0922%11 Feb →
inferno11–13-0.0119%11 Feb →
mirage16–120.0626%10 Feb →
nuke15–15-0.0311%8 Feb →
mirage13–60.0632%8 Feb →
mirage9–130.0413%7 Feb →
dust213–6-0.0120%7 Feb →
inferno7–130.0110%7 Feb →
mirage0–13-0.0711%5 Feb →
dust213–3-0.0424%4 Feb →
nuke6–13-0.0128%2 Feb →
mirage2–13-0.0319%2 Feb →
inferno13–10-0.0319%1 Feb →
nuke11–13-0.0618%1 Feb →
dust213–16-0.0122%1 Feb →
anubis13–80.0417%29 Jan →
anubis13–11-0.0217%28 Jan →
dust213–100.0421%28 Jan →
ancient13–80.0126%28 Jan →
mirage13–80.0522%27 Jan →
anubis16–140.0015%27 Jan →
anubis13–00.0822%27 Jan →
mirage13–11-0.0415%26 Jan →
mirage8–13-0.0415%25 Jan →
mirage13–30.009%25 Jan →
dust28–13-0.0216%25 Jan →
anubis13–70.027%25 Jan →
mirage10–13-0.0822%25 Jan →
dust213–60.0118%24 Jan →
dust28–13-0.0420%24 Jan →
vertigo9–13-0.0836%21 Jan →
overpass11–13-0.0219%20 Jan →
ancient5–13-0.0113%19 Jan →
dust23–10-0.1317%18 Jan →
inferno4–13-0.0228%18 Jan →
mirage13–10.0428%18 Jan →
ancient9–13-0.067%18 Jan →
mirage13–80.0242%18 Jan →
dust211–13-0.0318%16 Jan →
ancient8–13-0.0411%13 Jan →
dust213–9-0.0413%13 Jan →
mirage13–100.0123%12 Jan →
dust28–13-0.0421%12 Jan →
dust210–13-0.0013%10 Jan →

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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