daweed

daweed — CS2 Stats

DE76561199038920045[U:1:1078654317]Steam profile ↗✓ No bans

2,579Tracked matches31%Win rate2020Tracked since
CSDB Rating3.9 LearningPositional Player
Premier CS Rating5,105Light Blue band · top ~78.3% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (yesterday). 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: 5,105 -2,168 17 Aug – 5 Oct · 34 days played
5,1058,413peak 8,41317 Aug5 Oct
8,516Peak Premier in tracked matches
966Highest Faceit ELO seen on CSDB
34Days played since 2026-08-17

Premier CS Rating

  • 3,308 below peak (8,413)
  • -2,548 over 30 days · declining
  • Next: Blue band at 10,000 — 4,895 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-06

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

Share this profile

CSDB.GGdaweedFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,105 · Light Blue bandPEAK ELO966csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim33
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY31–64–5Last 10031%Win rateWLLWWLLLWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.3pp headshot accuracy · −60ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 624ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 634ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 664ms

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 (+2.4 against its own average).

Aim3.3
Utility5.4
Positioning6.4
Opening Duels3.1
Clutch1.0

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

jL

Plays most like jL 58% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 646ms 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

Aim3.3
Positioning6.4
Utility5.4
Mechanics5.3
Opening Duels4.6
Win Impact0.0

Composite 3.9/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time637ms+47ms
first ⅓ avg 589ms → last ⅓ avg 637ms
Headshot accuracy12.3%+2.4%
first ⅓ avg 9.9% → last ⅓ avg 12.3%

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 · 13–6 · inferno, 13 Sept →
37%Best headshot accuracy · 3–13 · inferno, 28 Aug →
391msFastest reaction time · 6–13 · inferno, 9 Sept →
13–1Biggest win · cache, 28 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 50% over 14dust2Weakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
anubisC2710–1737%-0.01
infernoC228–1436%-0.02
ancientD205–1525%-0.01
nukeB147–750%0.01
dust2D60–60%-0.02
cacheD61–517%-0.04
mirageD50–50%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
60%Win rate
1.09Avg K/D
84.8ADR
41%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient250%1.0219.5
Inferno250%0.9014.5
Nuke1100%1.6221.0

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.

12.4%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.0%Spray accuracy
74.0%Counter-strafing
13.2°Preaim
646msReaction time
54.6%T opening success
41.8%CT opening success
0.51Enemies flashed / flash
6.2%Flash assists
7.22HE damage / grenade
11.12Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2313° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.4483% — below the 15% mark we flag

    Aim Training →
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.

0% win rate across 6 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
anubis13–7-0.0017%5 Oct →
dust28–13-0.0511%5 Oct →
anubis11–13-0.039%5 Oct →
inferno7–2-0.0123%5 Oct →
ancient13–10-0.016%4 Oct →
dust25–130.0316%4 Oct →
nuke3–13-0.0812%4 Oct →
mirage4–130.0314%4 Oct →
inferno13–60.0612%2 Oct →
anubis13–160.0211%2 Oct →
anubis9–13-0.046%2 Oct →
mirage10–13-0.0215%1 Oct →
mirage6–130.0321%1 Oct →
anubis7–13-0.019%30 Sept →
dust27–13-0.0132%30 Sept →
nuke6–130.0511%30 Sept →
dust211–13-0.0010%30 Sept →
dust215–15-0.0415%29 Sept →
nuke16–14-0.0319%29 Sept →
dust214–16-0.0714%28 Sept →
anubis13–70.0414%28 Sept →
mirage11–13-0.015%28 Sept →
cache13–1-0.004%28 Sept →
inferno13–80.0717%27 Sept →
mirage7–13-0.114%24 Sept →
ancient7–130.058%22 Sept →
ancient4–13-0.0411%22 Sept →
inferno7–13-0.069%22 Sept →
anubis11–13-0.039%21 Sept →
anubis13–40.0915%21 Sept →
ancient6–13-0.0913%21 Sept →
ancient6–13-0.039%20 Sept →
inferno2–13-0.036%20 Sept →
ancient13–110.039%20 Sept →
anubis4–13-0.033%17 Sept →
ancient9–13-0.0110%17 Sept →
ancient13–16-0.0312%16 Sept →
anubis8–13-0.077%16 Sept →
cache10–13-0.057%13 Sept →
inferno13–60.1410%13 Sept →
anubis13–110.019%13 Sept →
inferno5–13-0.099%12 Sept →
nuke13–100.037%12 Sept →
inferno15–15-0.0418%11 Sept →
nuke6–13-0.0410%11 Sept →
ancient5–13-0.033%11 Sept →
ancient14–160.0011%11 Sept →
anubis13–11-0.039%9 Sept →
ancient15–15-0.055%9 Sept →
inferno6–13-0.0711%9 Sept →
anubis3–130.0312%7 Sept →
anubis13–9-0.0411%7 Sept →
ancient11–13-0.016%7 Sept →
inferno7–13-0.0119%6 Sept →
nuke13–90.1012%6 Sept →
anubis10–13-0.0310%6 Sept →
anubis11–13-0.039%5 Sept →
nuke13–40.0213%5 Sept →
ancient13–80.049%5 Sept →
inferno13–11-0.0319%5 Sept →
ancient8–13-0.0610%3 Sept →
anubis15–150.0013%2 Sept →
anubis4–13-0.0510%2 Sept →
ancient13–80.008%2 Sept →
anubis13–11-0.0414%2 Sept →
anubis7–13-0.0011%31 Aug →
ancient11–13-0.0413%31 Aug →
ancient11–13-0.0314%31 Aug →
cache7–13-0.046%30 Aug →
nuke13–80.057%30 Aug →
cache4–13-0.0414%28 Aug →
inferno3–13-0.066%28 Aug →
inferno3–13-0.0437%28 Aug →
ancient8–13-0.0210%28 Aug →
nuke16–120.038%26 Aug →
inferno6–13-0.107%26 Aug →
nuke13–110.007%26 Aug →
cache6–13-0.118%26 Aug →
anubis7–13-0.030%25 Aug →
inferno11–13-0.0414%25 Aug →
anubis13–10-0.008%25 Aug →
anubis13–40.017%25 Aug →
inferno13–70.0311%23 Aug →
anubis10–130.015%23 Aug →
nuke8–130.0513%23 Aug →
inferno15–15-0.027%22 Aug →
inferno7–13-0.0112%22 Aug →
anubis13–60.0217%22 Aug →
nuke3–130.047%21 Aug →
inferno13–70.019%21 Aug →
ancient1–13-0.029%21 Aug →
inferno3–13-0.097%21 Aug →
anubis5–13-0.0410%19 Aug →
nuke8–13-0.025%19 Aug →
inferno13–100.0213%19 Aug →
inferno13–16-0.067%18 Aug →
cache13–160.0111%18 Aug →
anubis9–13-0.0613%18 Aug →
ancient13–60.086%18 Aug →
nuke10–13-0.0013%17 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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