duffrose

duffrose — CS2 Stats

76561199175661921[U:1:1215396193]Steam profile ↗✓ No bans

2,593Tracked matches33%Win rate2021Tracked since
CSDB Rating3.8 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 915 → 915
+59Tracked matches · now 2,593
−14.7ppWin rate · 48.0% → 33.3%

Rating over time

Faceit ELO: 915 +0 1 Sept – 16 Sept · 3 observations
915915peak 9151 Sept16 Sept
915Highest Faceit ELO seen on CSDB
42Days played since 2026-08-28

Faceit ELO

  • At peak — 915
  • Next: Level 5 at 1,051 — 136 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-01
  • Level 3 first seen 2026-09-01

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.

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CSDB.GGduffrosePEAK ELO915csdb.gg/stats

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Performance scores

Aim53
Positioning52
Utility27

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateWLWLLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.8pp headshot accuracy · +60ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 561ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 623ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 593ms

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).

Aim5.3
Utility2.7
Positioning5.2
Opening Duels2.9
Clutch4.0

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

donk

Plays most like donk 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 609ms 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

Aim5.3
Positioning5.2
Utility2.7
Mechanics6.4
Opening Duels2.6
Win Impact0.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time587ms−26ms
first ⅓ avg 613ms → last ⅓ avg 587ms
Headshot accuracy15.4%+3.1%
first ⅓ avg 12.3% → last ⅓ avg 15.4%

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 · 12–2 · nuke, 29 Sept →
32%Best headshot accuracy · 6–13 · train, 8 Oct →
438msFastest reaction time · 9–1 · ancient, 12 Sept →
13–1Biggest win · vertigo, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
1Overtime games

Map breakdown

mirageBest map · 73% over 11dust2Weakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D214–1719%-0.01
cacheC177–1041%-0.03
nukeC135–838%-0.01
mirageS118–373%0.00
ancientA106–460%-0.00
infernoC73–443%0.01
anubisB63–350%-0.01
vertigoS64–267%0.02
trainD51–420%0.01
overpass—21–150%0.02
office—10–10%-0.01
boulder—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

36Matches
42%Win rate
0.71Avg K/D
63.9ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
16%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%0.6911.1
Ancient757%0.7110.4
Inferno757%0.7611.9
Dust2520%0.8414.4
Anubis30%0.467.0
Train250%0.7411.5
Vertigo250%0.6416.0

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.

16.2%Headshot accuracy
31.1%Accuracy (enemy spotted)
32.2%Spray accuracy
78.8%Counter-strafing
10.7°Preaim
609msReaction time
45.9%T opening success
35.1%CT opening success
0.43Enemies flashed / flash
5.0%Flash assists
10.22HE damage / grenade
2.93Flashes / 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 0.4272 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.1369% — 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.

19% win rate across 21 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
cache13–2-0.0120%14 Oct →
dust210–13-0.0428%13 Oct →
ancient13–7-0.0110%12 Oct →
office8–13-0.0122%11 Oct →
cache4–13-0.077%10 Oct →
cache4–13-0.043%10 Oct →
mirage8–13-0.0420%8 Oct →
train6–130.0732%8 Oct →
mirage13–90.0720%8 Oct →
dust22–13-0.084%8 Oct →
nuke13–100.1119%8 Oct →
cache13–10-0.0620%7 Oct →
train6–13-0.029%7 Oct →
cache7–13-0.0518%7 Oct →
overpass10–130.0517%7 Oct →
cache4–13-0.0012%6 Oct →
dust26–13-0.0316%6 Oct →
nuke4–13-0.0412%6 Oct →
anubis2–00.010%6 Oct →
mirage13–5-0.0317%6 Oct →
ancient13–8-0.0515%6 Oct →
dust25–13-0.0323%6 Oct →
dust26–130.0718%5 Oct →
mirage11–13-0.045%5 Oct →
nuke8–13-0.0518%5 Oct →
cache13–80.0114%5 Oct →
dust213–8-0.0025%5 Oct →
vertigo2–13-0.0513%4 Oct →
train5–130.0515%4 Oct →
ancient11–13-0.0612%2 Oct →
anubis13–90.0116%2 Oct →
mirage13–9-0.0212%1 Oct →
inferno13–80.0117%30 Sept →
nuke5–13-0.0318%30 Sept →
nuke12–20.142%29 Sept →
dust28–13-0.046%29 Sept →
dust29–130.0216%28 Sept →
nuke8–13-0.0313%28 Sept →
dust213–60.059%28 Sept →
vertigo10–13-0.0322%27 Sept →
cache13–6-0.0212%27 Sept →
vertigo13–90.1221%27 Sept →
dust23–13-0.0212%27 Sept →
dust25–13-0.0615%25 Sept →
nuke9–13-0.0227%24 Sept →
nuke13–6-0.097%24 Sept →
mirage13–50.0915%23 Sept →
cache9–13-0.0622%21 Sept →
dust212–120.0515%21 Sept →
cache3–13-0.079%21 Sept →
dust29–13-0.1018%21 Sept →
mirage13–6-0.0110%21 Sept →
anubis13–60.0213%20 Sept →
cache13–90.0121%19 Sept →
inferno4–13-0.063%19 Sept →
anubis7–13-0.0310%19 Sept →
nuke13–2-0.0621%18 Sept →
mirage13–2-0.0120%18 Sept →
vertigo13–3-0.0211%17 Sept →
inferno13–100.0313%16 Sept →
ancient13–80.0924%16 Sept →
boulder6–130.0119%14 Sept →
vertigo13–40.025%14 Sept →
cache9–13-0.0616%14 Sept →
cache13–50.0115%14 Sept →
mirage13–20.1127%13 Sept →
train0–10-0.060%13 Sept →
ancient9–10.0216%12 Sept →
mirage9–13-0.0512%11 Sept →
anubis12–12-0.0314%10 Sept →
dust212–12-0.0311%10 Sept →
nuke13–9-0.0013%10 Sept →
nuke5–12-0.057%10 Sept →
cache2–13-0.0929%10 Sept →
dust26–130.059%9 Sept →
overpass13–10-0.015%8 Sept →
cache7–13-0.0611%8 Sept →
vertigo13–10.0816%8 Sept →
dust212–120.0216%8 Sept →
inferno5–13-0.042%7 Sept →
nuke15–15-0.0128%6 Sept →
ancient13–90.0710%4 Sept →
dust212–120.0511%4 Sept →
ancient9–13-0.0513%4 Sept →
cache0–13-0.0515%3 Sept →
train13–100.0113%3 Sept →
dust28–130.028%3 Sept →
dust213–10-0.048%2 Sept →
inferno10–130.0318%1 Sept →
mirage13–9-0.0316%1 Sept →
dust24–13-0.0614%31 Aug →
ancient8–130.036%31 Aug →
dust213–70.0410%30 Aug →
inferno13–20.1420%30 Aug →
ancient9–13-0.0711%30 Aug →
inferno10–13-0.039%30 Aug →
ancient13–40.017%30 Aug →
anubis4–13-0.0515%29 Aug →
nuke4–130.026%29 Aug →
cache13–90.017%28 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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