dunse67

dunse67 — CS2 Stats

PH76561198105288345[U:1:145022617]Steam profile ↗✓ No bans

1,364Tracked matches61%Win rate2020Tracked since
1,703Hours in CS
CSDB Rating5.9 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGdunse67FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateWWWLLTLWWW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −2.7pp headshot accuracy · −45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 518ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim6.2
Utility7.5
Positioning5.2
Opening Duels3.2
Clutch5.0

Effective flashesHigh utility contribution

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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: utility contribution, 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 75 — grenade impact well above the norm.

Areas to improve

Reaction time. 565ms 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

Aim6.2
Positioning5.2
Utility7.5
Mechanics5.1
Opening Duels2.3
Win Impact8.6

Composite 5.9/10 (Solid), 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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time569ms−7ms
first ⅓ avg 576ms → last ⅓ avg 569ms
Headshot accuracy16.9%+0.6%
first ⅓ avg 16.3% → last ⅓ avg 16.9%

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

0.14Best match rating · 13–4 · ancient, 13 Jun →
40%Best headshot accuracy · 9–0 · inferno, 23 Sept →
406msFastest reaction time · 6–13 · ancient, 15 Aug →
13–2Biggest win · dust2, 11 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
5–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

trainBest map · 67% over 9nukeWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientA169–756%0.01
dust2C166–1038%-0.01
mirageA148–657%-0.01
infernoB136–746%-0.00
nukeD134–931%-0.03
overpassC94–544%-0.00
trainS96–367%-0.01
anubis—33–0100%0.01
vertigo—32–167%0.01
cache—10–10%-0.10
rooftop—11–0100%-0.00
dogtown—10–10%-0.12
brewery—11–0100%0.07

Across the last 100 tracked matches.

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

Lifetime stats

89,312Lifetime kills
1.07K/D
3,870Matches
42.9%Match win rate
41.9%Headshot %
17.1%Shot accuracy
7,671MVPs
1,703Hours (in match)
3,922Bombs planted
1,076Bombs defused

Most-used weapons

AK-4726,968
AWP5,862
Negev4,568
MAC-104,308
Knife1,799
FAMAS1,687

Lifetime map wins

7,612dust2
5,113inferno
4,303nuke
2,277vertigo
871train
345cbble
227dust
210office

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

Faceit stats

Combat

373Matches
55%Win rate
1.03Avg K/D
71.9ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
26%1v2 clutch win
16Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4650%0.8613.1
Inferno4271%1.1315.4
Dust24060%1.1015.1
Nuke2864%1.0514.8
Train2259%1.0012.7
Ancient1331%1.0115.4
Anubis1050%1.0514.5
Overpass956%1.0115.4

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.

16.2%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.5%Spray accuracy
73.0%Counter-strafing
10.4°Preaim
565msReaction time
33.4%T opening success
45.2%CT opening success
0.81Enemies flashed / flash
11.7%Flash assists
12.44HE damage / grenade
10.86Flashes / 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 33.4146% — 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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–60.0924%19 Sept →
mirage13–70.0416%19 Sept →
anubis13–30.0614%24 Aug →
cache1–13-0.104%24 Aug →
inferno4–13-0.0519%25 Jun →
ancient15–15-0.0015%23 Jun →
mirage10–130.0316%23 Jun →
ancient13–90.057%20 Jun →
anubis13–5-0.0212%20 Jun →
ancient13–8-0.0518%20 Jun →
mirage6–13-0.0625%14 Jun →
ancient13–40.1423%13 Jun →
nuke13–9-0.0418%13 Jun →
mirage13–100.0113%13 Jun →
inferno13–10-0.0016%12 Jun →
anubis13–11-0.0318%12 Jun →
inferno13–10-0.0712%11 Jun →
ancient13–3-0.0114%11 Jun →
mirage1–13-0.0618%11 Jun →
dust213–20.0117%11 Jun →
nuke7–13-0.0113%11 Jun →
nuke10–13-0.0010%10 Jun →
inferno15–150.0420%6 Jun →
dust28–13-0.092%5 Jun →
mirage13–60.0025%5 Jun →
mirage8–13-0.0417%28 Dec →
dust213–80.0817%28 Dec →
overpass3–13-0.0635%28 Dec →
inferno16–13-0.0315%4 Dec →
train4–13-0.0617%8 Nov →
overpass16–120.0314%7 Nov →
nuke8–13-0.1030%6 Nov →
vertigo13–6-0.0022%2 Nov →
ancient11–13-0.0220%1 Nov →
mirage13–6-0.0814%1 Nov →
dust215–15-0.0213%1 Nov →
nuke13–2-0.027%1 Nov →
vertigo9–7-0.0536%18 Oct →
rooftop9–4-0.0025%18 Oct →
inferno8–8-0.059%18 Oct →
ancient13–60.0521%18 Oct →
overpass10–13-0.0319%15 Oct →
nuke14–160.009%7 Oct →
ancient13–90.0416%4 Oct →
inferno6–130.0122%4 Oct →
train13–8-0.0219%4 Oct →
nuke8–13-0.0817%4 Oct →
mirage13–90.0318%4 Oct →
nuke13–9-0.036%1 Oct →
nuke4–130.028%26 Sept →
train9–13-0.0518%26 Sept →
inferno9–00.0940%23 Sept →
overpass10–130.0313%13 Sept →
ancient8–13-0.0519%13 Sept →
dogtown6–9-0.1221%13 Sept →
dust213–110.0120%11 Sept →
overpass13–30.1112%10 Sept →
dust213–3-0.0119%10 Sept →
train13–20.0432%10 Sept →
ancient13–20.0720%10 Sept →
nuke5–13-0.038%9 Sept →
dust211–13-0.0112%9 Sept →
ancient11–130.0111%3 Sept →
inferno11–13-0.0228%3 Sept →
train13–4-0.0017%31 Aug →
ancient9–13-0.0515%31 Aug →
overpass13–10-0.0213%29 Aug →
mirage8–130.0224%27 Aug →
dust213–8-0.0027%27 Aug →
nuke7–13-0.0213%16 Aug →
ancient8–13-0.094%16 Aug →
ancient6–13-0.0214%15 Aug →
overpass7–13-0.090%15 Aug →
brewery9–40.0720%14 Aug →
inferno3–9-0.0819%14 Aug →
vertigo8–80.0831%14 Aug →
overpass7–13-0.0222%13 Aug →
train16–13-0.0315%13 Aug →
dust211–13-0.0023%13 Aug →
dust25–13-0.0311%11 Aug →
ancient13–60.047%11 Aug →
overpass13–90.0110%11 Aug →
inferno13–110.0118%11 Aug →
mirage13–110.0117%10 Aug →
dust26–13-0.0131%10 Aug →
inferno3–130.0518%10 Aug →
dust215–150.0323%9 Aug →
dust213–80.0021%9 Aug →
mirage13–5-0.0117%17 Jun →
dust211–130.0119%17 Jun →
dust25–13-0.0316%16 Jun →
ancient13–100.0110%16 Jun →
mirage11–13-0.0330%16 Jun →
train13–4-0.036%31 May →
nuke12–12-0.0211%30 May →
nuke13–9-0.0111%22 May →
train13–50.0313%22 May →
dust215–15-0.0713%22 May →
mirage13–30.0214%22 May →
train14–160.0110%20 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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