Dave

Dave — CS2 Stats

LV76561198361030950[U:1:400765222]Steam profile ↗✓ No bans

2,748Tracked matches47%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating14,555Blue band · top ~30.8% of ranked players (population est.)
FaceitLevel 7 · 1,540 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (8 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: 14,555 -2,622 6 Aug – 3 Oct · 28 days played
14,55517,177peak 17,1776 Aug3 Oct
Faceit ELO: 1,540 +0 30 Aug – 4 Sept · 2 observations
1,5401,540peak 1,54030 Aug4 Sept
17,359Peak Premier in tracked matches
1,540Highest Faceit ELO seen on CSDB
36Days played since 2026-08-06

Faceit ELO

  • At peak — 1,540
  • Next: Level 9 at 1,751 — 211 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier CS Rating

  • 2,622 below peak (17,177)
  • -1,010 over 30 days · declining
  • Next: Purple band at 15,000 — 445 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.GGDaveFACEITLevel 7 · 1,540 ELOSTANDINGTop 42.3% of rankedPREMIER14,555 · Blue bandPEAK ELO1,540csdb.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

Aim85
Positioning58
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLLLWLWWLWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +1.8pp headshot accuracy · +31ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 30%
  • Avg reaction 589ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 556ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 540ms

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 (+2.2 against its own average).

Aim8.5
Utility2.7
Positioning5.8
Opening Duels2.8
Clutch3.0

Sharp aimerLimited 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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

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 60% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 589ms 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

Aim8.5
Positioning5.8
Utility2.7
Mechanics6.9
Opening Duels5.3
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 rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time592ms+7ms
first ⅓ avg 585ms → last ⅓ avg 592ms
Headshot accuracy27.0%−0.9%
first ⅓ avg 28.0% → last ⅓ avg 27.0%

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 · 13–10 · mirage, 14 Aug →
62%Best headshot accuracy · 0–9 · nuke, 14 Sept →
398msFastest reaction time · 13–2 · nuke, 2 Oct →
13–2Biggest win · nuke, 2 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
9–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 50% over 8infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%-0.01
mirageC187–1139%-0.00
infernoD144–1029%-0.06
cacheB115–645%-0.01
anubisC104–640%-0.01
ancientB84–450%-0.02
vertigoD62–433%-0.03
dust2—42–250%0.02
overpass—32–167%0.03
train—21–150%-0.05
debris—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

409Matches
50%Win rate
1.08Avg K/D
77.7ADR
58%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7851%1.1717.0
Nuke5157%1.0715.2
Ancient4949%1.0415.3
Dust22658%1.0015.4
Inferno2241%1.0816.6
Cache1155%1.0516.3
Anubis1020%1.1119.3
Overpass1050%1.0216.7

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.

26.5%Headshot accuracy
36.6%Accuracy (enemy spotted)
35.6%Spray accuracy
81.1%Counter-strafing
8.1°Preaim
589msReaction time
60.0%T opening success
42.1%CT opening success
0.39Enemies flashed / flash
3.6%Flash assists
9.19HE damage / grenade
1.92Flashes / 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 0.3856 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0517%7 Oct →
mirage7–130.0341%7 Oct →
inferno3–9-0.1727%5 Oct →
debris9–40.0230%5 Oct →
nuke8–13-0.0233%5 Oct →
nuke13–110.0719%3 Oct →
nuke13–4-0.0028%3 Oct →
cache6–13-0.0030%3 Oct →
cache13–11-0.0317%2 Oct →
nuke13–20.0230%2 Oct →
vertigo14–16-0.0033%30 Sept →
cache13–11-0.0312%30 Sept →
cache13–100.0639%30 Sept →
nuke8–13-0.0021%29 Sept →
mirage9–130.0425%29 Sept →
nuke13–11-0.0811%29 Sept →
nuke9–13-0.0422%28 Sept →
mirage11–13-0.0632%22 Sept →
inferno4–13-0.0233%22 Sept →
anubis10–130.0226%22 Sept →
nuke13–7-0.0124%22 Sept →
mirage8–13-0.0124%20 Sept →
nuke11–130.0422%20 Sept →
dust213–50.0622%19 Sept →
mirage16–140.0023%17 Sept →
mirage13–9-0.0722%15 Sept →
inferno6–5-0.0925%15 Sept →
nuke0–9-0.0062%14 Sept →
train13–10-0.0832%13 Sept →
cache7–10.0411%13 Sept →
cache5–13-0.0136%13 Sept →
dust213–16-0.0038%13 Sept →
inferno11–13-0.0527%11 Sept →
ancient13–11-0.0919%10 Sept →
overpass13–80.0744%10 Sept →
ancient8–13-0.0535%9 Sept →
nuke5–13-0.1018%9 Sept →
anubis9–13-0.0126%9 Sept →
mirage13–60.0116%9 Sept →
nuke13–6-0.0117%9 Sept →
dust26–13-0.0530%9 Sept →
mirage9–13-0.0344%8 Sept →
nuke13–20.0437%8 Sept →
ancient13–8-0.0320%8 Sept →
anubis13–30.0155%8 Sept →
anubis13–10-0.0331%7 Sept →
mirage5–13-0.0328%7 Sept →
nuke13–100.0129%7 Sept →
ancient11–130.0523%7 Sept →
anubis8–13-0.0135%7 Sept →
cache7–13-0.0248%7 Sept →
vertigo13–110.0633%7 Sept →
vertigo6–13-0.0254%7 Sept →
mirage11–130.0534%7 Sept →
dust213–30.0638%3 Sept →
anubis6–13-0.0143%3 Sept →
mirage13–60.0429%2 Sept →
cache8–13-0.0438%2 Sept →
ancient8–13-0.0232%2 Sept →
mirage8–13-0.0626%1 Sept →
vertigo8–13-0.0430%31 Aug →
overpass13–8-0.0226%31 Aug →
nuke4–13-0.1012%31 Aug →
nuke7–13-0.0727%31 Aug →
cache6–13-0.0830%31 Aug →
ancient12–160.0217%31 Aug →
mirage13–4-0.0633%31 Aug →
nuke9–6-0.0033%29 Aug →
train11–13-0.0134%28 Aug →
vertigo9–4-0.0412%25 Aug →
inferno6–13-0.0917%25 Aug →
anubis11–13-0.0329%24 Aug →
mirage3–13-0.0462%24 Aug →
cache13–100.0335%24 Aug →
nuke7–13-0.0436%24 Aug →
anubis9–13-0.0414%23 Aug →
nuke9–13-0.0430%23 Aug →
nuke13–90.1028%23 Aug →
anubis13–2-0.0218%20 Aug →
nuke10–13-0.0527%17 Aug →
ancient13–11-0.0320%16 Aug →
inferno8–13-0.0324%16 Aug →
inferno2–9-0.1731%14 Aug →
inferno10–13-0.0424%14 Aug →
mirage13–100.1129%14 Aug →
cache5–130.0030%13 Aug →
ancient13–70.0036%13 Aug →
vertigo3–9-0.1417%13 Aug →
inferno8–8-0.0147%13 Aug →
inferno7–13-0.1024%13 Aug →
mirage13–8-0.0026%13 Aug →
inferno13–7-0.098%11 Aug →
inferno9–130.0027%9 Aug →
nuke13–50.0830%6 Aug →
anubis13–70.0537%6 Aug →
mirage4–130.0027%6 Aug →
inferno13–30.0736%6 Aug →
mirage4–13-0.0138%6 Aug →
overpass6–90.0418%6 Aug →
inferno9–50.0122%6 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.