DaDavidoof 17.13.19

DaDavidoof 17.13.19 — CS2 Stats

DE76561198146681485[U:1:186415757]Steam profile ↗✓ No bans

2,739Tracked matches58%Win rate2020Tracked since
6,287Hours in CS
CSDB Rating6.1 SolidSupport
CSDB Leaderboard#28135 of 259949 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,504 -208 7 Jun – 2 Jul · 4 days played
24,50425,124peak 25,1247 Jun2 Jul
25,124Peak Premier in tracked matches
28Days played since 2026-05-22

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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate39.9%46.8%48.2%8.4% short
Shot accuracy18.0%13.0%13.2%above
Kill/death ratio0.991.061.070.09 short
Match win rate50.7%46.3%46.9%above

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDaDavidoof 17.13.19FACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning47
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY52–39–9Last 10052%Win rateWWWLLWTLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · +66ms 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 -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 549ms

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 (+2.2 against its own average).

Aim7.3
Utility5.6
Positioning4.7
Opening Duels0.8
Clutch2.6

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 53% on T to 32% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning4.7
Utility5.6
Mechanics7.2
Opening Duels3.2
Win Impact7.6

Composite 6.1/10 (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-0.03−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time542ms−65ms
first ⅓ avg 607ms → last ⅓ avg 542ms
Headshot accuracy16.8%+0.1%
first ⅓ avg 16.7% → last ⅓ avg 16.8%

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

0.09Best match rating · 13–9 · inferno, 24 Sept →
67%Best headshot accuracy · 7–8 · rush_001, 3 Oct →
359msFastest reaction time · 5–1 · rush_001, 4 Oct →
13–0Biggest win · mirage, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 88% over 8overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB178–947%-0.03
cacheB136–746%-0.03
dust2D113–827%-0.03
infernoA106–460%-0.02
vertigoS87–188%-0.01
nukeB84–450%-0.02
officeA74–357%-0.01
ancientA53–260%-0.03
overpassD51–420%-0.04
anubisS54–180%0.00
trainC52–340%-0.04
rush_001—43–175%-0.02
shelter—11–0100%-0.03
boulder—10–10%-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

324,090Lifetime kills
0.99K/D
24,624Matches
50.7%Match win rate · Top 25% of Level 8 players
39.9%Headshot %
18.0%Shot accuracy · Top 10% of Level 8 players
49,438MVPs
6,287Hours (in match)
12,639Bombs planted
14,555Bombs defused

Most-used weapons

AK-4785,910
AWP60,970
Glock-1814,732
Knife5,301
SSG 085,126
P905,043
P2504,847

Lifetime map wins

27,327inferno
26,693dust2
9,270nuke
8,581train
8,013vertigo
5,750cbble
1,601lake
1,342safehouse

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

Faceit stats

Combat

210Matches
55%Win rate
0.94Avg K/D
72.4ADR
37%Headshot %

Clutches & streaks

33%1v1 clutch win
27%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient862%1.0914.0
Nuke683%0.9712.3
Anubis560%0.8412.0
Inferno475%1.0013.8
Mirage4100%1.2811.5
Dust2367%1.0412.0
Vertigo250%0.9710.0
Train1100%0.8214.0

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.

18.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
36.6%Spray accuracy
82.2%Counter-strafing
11.2°Preaim
542msReaction time
53.4%T opening success
32.0%CT opening success
0.54Enemies flashed / flash
9.9%Flash assists
8.31HE damage / grenade
10.79Flashes / 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

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

    CT opening duels 32.0021% — below the 40% mark we flag

Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–0-0.010%31 Oct →
inferno13–4-0.0316%31 Oct →
vertigo13–50.0514%31 Oct →
dust211–13-0.0614%31 Oct →
ancient10–13-0.059%31 Oct →
vertigo13–7-0.0332%31 Oct →
overpass12–12-0.0518%31 Oct →
mirage10–130.0219%31 Oct →
nuke11–13-0.0423%31 Oct →
dust28–13-0.0028%31 Oct →
office13–6-0.0124%31 Oct →
office12–120.0033%31 Oct →
anubis1–13-0.0916%24 Oct →
dust213–80.0121%24 Oct →
cache3–13-0.0622%24 Oct →
inferno16–13-0.058%24 Oct →
cache13–8-0.0619%24 Oct →
mirage6–13-0.0515%24 Oct →
ancient13–8-0.0515%24 Oct →
mirage13–9-0.0011%24 Oct →
cache13–7-0.0124%23 Oct →
mirage12–12-0.0619%16 Oct →
train8–13-0.0215%16 Oct →
inferno13–110.0410%16 Oct →
rush_0018–7-0.090%11 Oct →
cache12–12-0.0222%10 Oct →
vertigo13–100.048%10 Oct →
anubis13–8-0.0015%10 Oct →
inferno13–50.0219%10 Oct →
train6–13-0.0548%10 Oct →
nuke6–13-0.0511%4 Oct →
inferno2–13-0.050%4 Oct →
overpass6–13-0.057%4 Oct →
vertigo13–5-0.0021%4 Oct →
rush_0015–1-0.0117%4 Oct →
rush_0018–50.070%4 Oct →
mirage10–13-0.0922%4 Oct →
rush_0017–8-0.0467%3 Oct →
dust212–12-0.0019%1 Oct →
cache12–12-0.0813%1 Oct →
mirage7–13-0.0711%27 Sept →
train3–13-0.1118%27 Sept →
cache11–13-0.068%27 Sept →
dust26–13-0.0517%27 Sept →
inferno13–90.0917%24 Sept →
nuke13–11-0.042%24 Sept →
office13–80.0111%8 Sept →
office2–13-0.0221%8 Sept →
office13–80.0215%8 Sept →
train13–10-0.0121%22 Aug →
cache4–13-0.0226%22 Aug →
dust213–11-0.0422%22 Aug →
inferno10–13-0.0621%19 Jul →
vertigo0–13-0.0650%19 Jul →
shelter13–6-0.0323%18 Jul →
nuke13–30.0416%18 Jul →
boulder11–13-0.0347%18 Jul →
cache10–13-0.0425%18 Jul →
overpass12–12-0.0320%12 Jul →
nuke13–10-0.0314%12 Jul →
mirage7–13-0.0110%12 Jul →
office13–100.006%8 Jul →
office3–13-0.0824%8 Jul →
vertigo13–6-0.0311%7 Jul →
cache13–80.0418%7 Jul →
mirage13–6-0.0018%7 Jul →
ancient14–160.0116%2 Jul →
nuke13–7-0.0116%28 Jun →
dust211–13-0.0214%28 Jun →
dust23–13-0.1113%28 Jun →
overpass13–11-0.0416%26 Jun →
ancient13–10-0.0316%26 Jun →
vertigo13–6-0.0117%13 Jun →
cache13–10-0.0321%13 Jun →
train13–11-0.0423%13 Jun →
cache12–120.0010%13 Jun →
vertigo13–7-0.0311%12 Jun →
mirage13–10-0.0517%12 Jun →
ancient13–7-0.0314%12 Jun →
inferno12–12-0.0611%12 Jun →
cache13–8-0.0325%8 Jun →
mirage16–12-0.0413%8 Jun →
anubis13–00.0421%8 Jun →
inferno10–13-0.0311%7 Jun →
mirage13–4-0.008%7 Jun →
nuke9–130.0320%7 Jun →
mirage13–60.0311%7 Jun →
dust27–13-0.0314%7 Jun →
cache13–11-0.0620%29 May →
anubis13–80.0211%29 May →
mirage2–13-0.0224%29 May →
mirage0–3-0.0525%29 May →
dust213–8-0.0122%29 May →
mirage7–13-0.0430%25 May →
mirage2–1-0.0320%25 May →
dust23–13-0.0118%25 May →
nuke7–13-0.0514%25 May →
anubis12–10.0419%25 May →
inferno13–8-0.0514%22 May →
overpass10–13-0.0311%22 May →

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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