Dawe

Dawe — CS2 Stats

76561199854519114[U:1:1894253386]Steam profile ↗✓ No bans

819Tracked matches47%Win rate2025Tracked since
441Hours in CS
CSDB Rating5.8 SolidClutch Specialist
Premier CS Rating13,413Blue band · top ~36.8% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,413 -175 16 Jul – 14 Oct · 37 days played
13,38515,850peak 15,85016 Jul14 Oct
15,850Peak Premier in tracked matches
43Days played since 2026-07-15

Premier CS Rating

  • 2,437 below peak (15,850)
  • -1,788 over 30 days · declining
  • -175 over 90 days
  • Next: Purple band at 15,000 — 1,587 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate52.0%42.0%44.3%above
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.160.981.03above
Match win rate47.6%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGDawePREMIER13,413 · Blue bandcsdb.gg/stats

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Performance scores

Aim78
Positioning63
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLWWWWWLWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −6.1pp headshot accuracy · −13ms reaction

Win rate up 30pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 581ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 598ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 604ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.4 against its own average).

Aim7.8
Utility3.7
Positioning6.3
Opening Duels2.6
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 56% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 599ms 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

Aim7.8
Positioning6.3
Utility3.7
Mechanics7.2
Opening Duels4.5
Win Impact3.9

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time609ms−24ms
first ⅓ avg 633ms → last ⅓ avg 609ms
Headshot accuracy21.2%+0.1%
first ⅓ avg 21.0% → last ⅓ avg 21.2%

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.

Personal bests

0.11Best match rating · 11–3 · ancient, 11 Oct →
42%Best headshot accuracy · 13–11 · nuke, 21 Jul →
438msFastest reaction time · 5–13 · inferno, 29 Jul →
13–1Biggest win · dust2, 8 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 71% over 7anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2S2215–768%0.02
infernoC207–1335%-0.02
ancientB137–654%0.02
anubisD134–931%0.01
nukeB115–645%-0.01
mirageC104–640%-0.01
cacheS75–271%0.00
poseidon—22–0100%0.02
vertigo—11–0100%0.01
debris—11–0100%0.08

Across the last 100 tracked matches.

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

Lifetime stats

22,318Lifetime kills
1.16K/D · Top 25% of Blue band
1,228Matches
47.6%Match win rate · Top 25% of Blue band
52.0%Headshot % · Top 25% of Blue band
0.0%Shot accuracy
3,707MVPs
441Hours (in match)
1,355Bombs planted
351Bombs defused

Most-used weapons

Lifetime map wins

2,522dust2
1,847nuke
1,479inferno
479vertigo
281train
43office
14lake
9italy

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

Faceit stats

Combat

6Matches
67%Win rate
1.41Avg K/D
93.1ADR
50%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2100%1.8118.5
Anubis250%1.0616.5
Dust21100%2.0024.0
Mirage10%0.7014.0

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.

20.7%Headshot accuracy
36.8%Accuracy (enemy spotted)
36.1%Spray accuracy
82.4%Counter-strafing
9.0°Preaim
599msReaction time
56.3%T opening success
39.3%CT opening success
0.41Enemies flashed / flash
3.1%Flash assists
8.54HE damage / grenade
3.86Flashes / 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. 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 0.4105 — 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 39.2726% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0115%14 Oct →
mirage16–120.0118%14 Oct →
dust213–80.1124%12 Oct →
ancient11–30.1114%11 Oct →
anubis13–40.0427%11 Oct →
ancient13–80.0116%11 Oct →
mirage10–130.0316%11 Oct →
mirage12–2-0.034%10 Oct →
inferno2–13-0.0519%10 Oct →
anubis7–130.0123%8 Oct →
dust213–10.0839%8 Oct →
inferno3–130.0215%7 Oct →
dust213–50.0324%7 Oct →
anubis10–130.0119%6 Oct →
anubis3–130.0517%6 Oct →
mirage8–13-0.0524%5 Oct →
ancient10–13-0.0413%4 Oct →
ancient13–80.0524%4 Oct →
nuke8–13-0.0336%1 Oct →
anubis6–13-0.0324%30 Sept →
mirage10–13-0.0515%30 Sept →
mirage13–60.0728%30 Sept →
poseidon9–40.0214%25 Sept →
vertigo13–30.0117%25 Sept →
poseidon9–70.0235%25 Sept →
ancient13–50.0826%23 Sept →
inferno13–90.0230%23 Sept →
cache13–70.0515%23 Sept →
nuke4–130.0116%22 Sept →
dust24–13-0.0421%22 Sept →
cache6–130.0229%16 Sept →
anubis8–130.0316%14 Sept →
dust213–70.1025%13 Sept →
nuke11–13-0.0121%13 Sept →
inferno0–9-0.270%13 Sept →
debris9–40.0840%12 Sept →
nuke13–80.0633%9 Sept →
nuke13–60.0223%9 Sept →
anubis13–20.0228%3 Sept →
anubis13–100.0629%1 Sept →
nuke13–9-0.0328%1 Sept →
ancient15–150.0931%28 Aug →
cache4–13-0.0539%26 Aug →
dust213–80.0626%26 Aug →
nuke6–13-0.0330%24 Aug →
ancient8–13-0.0424%24 Aug →
dust211–130.0519%18 Aug →
dust213–11-0.0128%18 Aug →
dust213–90.0127%16 Aug →
inferno13–4-0.0114%16 Aug →
anubis4–13-0.0633%10 Aug →
dust28–13-0.0323%7 Aug →
ancient10–130.0116%5 Aug →
cache13–9-0.0324%5 Aug →
dust213–100.0527%5 Aug →
inferno6–13-0.0318%5 Aug →
inferno11–13-0.0314%2 Aug →
dust210–130.0318%2 Aug →
dust216–13-0.0338%30 Jul →
mirage4–13-0.0320%30 Jul →
cache13–5-0.0113%30 Jul →
inferno5–13-0.0324%29 Jul →
inferno13–30.1124%29 Jul →
inferno8–130.0422%29 Jul →
ancient10–13-0.0122%28 Jul →
inferno16–12-0.0311%28 Jul →
dust211–13-0.0321%28 Jul →
ancient13–40.0725%28 Jul →
dust216–12-0.0119%27 Jul →
nuke13–80.0417%27 Jul →
dust213–7-0.0515%26 Jul →
anubis13–16-0.0319%26 Jul →
inferno6–13-0.0116%24 Jul →
inferno16–13-0.0614%24 Jul →
nuke9–13-0.0618%23 Jul →
inferno13–80.0318%23 Jul →
mirage4–130.0320%23 Jul →
inferno7–13-0.0424%22 Jul →
inferno13–30.0618%22 Jul →
mirage13–11-0.0512%22 Jul →
nuke13–11-0.0542%21 Jul →
inferno11–13-0.0523%21 Jul →
cache13–100.0125%21 Jul →
dust213–80.0633%21 Jul →
inferno11–130.0220%20 Jul →
ancient9–13-0.0119%20 Jul →
anubis8–130.0228%20 Jul →
inferno7–13-0.0118%17 Jul →
ancient13–11-0.113%17 Jul →
anubis13–90.0118%17 Jul →
dust213–90.0816%17 Jul →
dust213–11-0.0426%17 Jul →
nuke3–13-0.0523%16 Jul →
dust213–90.0421%16 Jul →
dust22–13-0.0321%16 Jul →
inferno15–15-0.0723%16 Jul →
dust29–130.0329%15 Jul →
cache13–30.0426%15 Jul →
anubis11–13-0.0224%15 Jul →
ancient16–130.0223%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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