DaVe

DaVe — CS2 Stats

76561198023575639[U:1:63309911]Steam profile ↗✓ No bans

1,403Tracked matches39%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating21,106Top 50% of 197,133 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#64476 of 244356 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 16 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,106 -410 16 Aug – 24 Sept · 34 days played
19,88723,547peak 23,54716 Aug24 Sept
23,948Peak Premier in tracked matches
34Days played since 2026-08-16

Premier CS Rating

  • 2,441 below peak (23,547)
  • -1,204 over 30 days · declining
  • Next: Red band at 25,000 — 3,894 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

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

Share this profile

CSDB.GGDaVeFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,106 · Pink bandcsdb.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

Aim60
Positioning57
Utility29

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateTLLLLLWWLL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −0.7pp headshot accuracy · −55ms 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 542ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 511ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 539ms

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).

Aim6.0
Utility2.9
Positioning5.7
Opening Duels2.5
Clutch5.6

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

iM

Plays most like iM 85% 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

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

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

Aim6.0
Positioning5.7
Utility2.9
Mechanics5.2
Opening Duels5.1
Win Impact1.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time533ms−17ms
first ⅓ avg 550ms → last ⅓ avg 533ms
Headshot accuracy12.7%−4.3%
first ⅓ avg 17.0% → last ⅓ avg 12.7%

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

0.22Best match rating · 9–2 · vertigo, 29 Aug →
50%Best headshot accuracy · 9–2 · vertigo, 29 Aug →
281msFastest reaction time · 3–13 · anubis, 2 Sept →
13–3Biggest win · nuke, 7 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 50% over 14ancientWeakest map · 41% over 27
MapGradePlayedRecordWin rateAvg rating
ancientC2711–1641%-0.01
nukeC219–1243%-0.01
cacheC219–1243%-0.03
anubisB147–750%-0.02
infernoB63–350%0.00
mirage—41–325%-0.03
dust2—31–233%-0.00
overpass—10–10%-0.01
eldorado—10–10%-0.02
vertigo—11–0100%0.22
poseidon—10–10%-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 27). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

74Matches
51%Win rate
0.91Avg K/D
74.4ADR
39%Headshot %

Clutches & streaks

48%1v1 clutch win
18%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1050%0.9915.9
Ancient1030%0.9215.3
Cache875%0.8915.5
Mirage757%0.8112.9
Inferno683%0.9214.3
Anubis450%0.7112.0
Dust21100%1.2719.0
Overpass10%0.7814.0

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.

13.1%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.1%Spray accuracy
73.2%Counter-strafing
9.4°Preaim
534msReaction time
55.9%T opening success
45.1%CT opening success
0.35Enemies flashed / flash
1.0%Flash assists
5.02HE damage / grenade
4.86Flashes / 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. 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 13.1189% — below the 15% mark we flag

    Aim Training →
  2. 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 0.349 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

41% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke15–150.079%24 Sept →
nuke11–13-0.0212%23 Sept →
ancient11–13-0.0613%23 Sept →
ancient10–13-0.0511%22 Sept →
nuke10–13-0.0210%22 Sept →
ancient2–13-0.080%22 Sept →
nuke13–7-0.0024%21 Sept →
cache13–11-0.0618%20 Sept →
ancient6–13-0.0413%20 Sept →
cache7–13-0.0217%20 Sept →
anubis13–90.0221%20 Sept →
cache12–16-0.0310%19 Sept →
anubis5–13-0.0514%19 Sept →
ancient4–13-0.105%18 Sept →
cache0–13-0.1117%18 Sept →
mirage13–11-0.0215%18 Sept →
cache6–13-0.0417%18 Sept →
anubis13–100.0322%18 Sept →
cache15–15-0.017%17 Sept →
cache13–9-0.006%17 Sept →
nuke13–5-0.043%16 Sept →
anubis13–8-0.057%16 Sept →
mirage5–13-0.0513%16 Sept →
anubis13–9-0.0113%16 Sept →
nuke9–13-0.0626%14 Sept →
anubis5–13-0.0117%14 Sept →
nuke11–130.0218%14 Sept →
ancient16–12-0.0514%14 Sept →
anubis10–13-0.0115%13 Sept →
nuke13–8-0.037%13 Sept →
ancient16–140.017%13 Sept →
cache13–10-0.0214%11 Sept →
anubis13–10-0.036%10 Sept →
nuke3–13-0.130%10 Sept →
cache9–13-0.0221%9 Sept →
ancient11–130.0230%9 Sept →
ancient13–9-0.028%7 Sept →
cache13–9-0.047%7 Sept →
cache13–8-0.0120%7 Sept →
nuke13–30.0117%7 Sept →
nuke13–90.0112%6 Sept →
mirage6–13-0.0320%6 Sept →
ancient13–40.0514%6 Sept →
inferno16–13-0.0321%6 Sept →
nuke13–7-0.069%6 Sept →
ancient11–130.0211%6 Sept →
ancient13–11-0.0614%5 Sept →
cache13–11-0.0011%4 Sept →
dust26–13-0.0136%4 Sept →
nuke13–5-0.0411%4 Sept →
cache15–15-0.0316%4 Sept →
anubis3–13-0.120%2 Sept →
ancient13–4-0.037%30 Aug →
nuke9–13-0.0125%30 Aug →
cache15–15-0.0119%30 Aug →
ancient13–70.0722%30 Aug →
ancient13–9-0.059%30 Aug →
inferno13–110.0713%29 Aug →
ancient10–13-0.0119%29 Aug →
ancient13–16-0.0213%29 Aug →
cache9–13-0.0221%29 Aug →
overpass6–9-0.0111%29 Aug →
eldorado5–9-0.0215%29 Aug →
vertigo9–20.2250%29 Aug →
poseidon3–9-0.124%29 Aug →
nuke9–13-0.0113%28 Aug →
cache9–13-0.0618%28 Aug →
inferno13–16-0.0412%28 Aug →
nuke10–130.0322%27 Aug →
ancient11–130.0523%27 Aug →
cache6–13-0.0432%26 Aug →
ancient10–130.0116%25 Aug →
mirage3–13-0.0423%25 Aug →
cache13–90.0013%24 Aug →
anubis13–11-0.055%24 Aug →
cache13–9-0.0017%24 Aug →
dust213–100.0525%23 Aug →
nuke15–150.0121%23 Aug →
nuke13–90.0311%22 Aug →
anubis4–13-0.0513%22 Aug →
ancient9–130.0422%22 Aug →
inferno13–90.0323%22 Aug →
anubis4–13-0.0217%21 Aug →
anubis13–8-0.0417%21 Aug →
cache6–13-0.0315%21 Aug →
ancient13–9-0.0716%21 Aug →
inferno3–13-0.0211%20 Aug →
ancient13–100.0822%20 Aug →
nuke9–130.0219%20 Aug →
ancient8–130.0121%19 Aug →
cache16–14-0.0111%19 Aug →
nuke13–100.0121%19 Aug →
anubis10–130.0512%19 Aug →
ancient1–13-0.058%19 Aug →
dust210–13-0.0411%18 Aug →
ancient13–30.0225%18 Aug →
inferno10–13-0.009%17 Aug →
nuke9–13-0.0811%17 Aug →
ancient10–130.0220%17 Aug →
ancient6–13-0.0017%16 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 →