DavyM8

DavyM8 — CS2 Stats

76561198031628182[U:1:71362454]Steam profile ↗VAC banned

1,351Tracked matches63%Win rate2020Tracked since
2,918Hours in CS6Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,351
+13.0ppWin rate · 50.0% → 63.0%

Rating over time

Premier CS Rating: 15,404 +405 28 Feb – 6 Jul · 7 days played
14,99916,773peak 16,77328 Feb6 Jul
16,773Peak Premier in tracked matches
42Days played since 2026-02-22

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches6——
Win rate83%——
K/D1.41——
Headshot %41%——

Measured 4 Oct 2026 → 11 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,269), 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 1 medianLevel 2 medianvs Level 2
Headshot rate40.0%40.9%41.3%1.3% short
Shot accuracy14.7%14.2%12.7%above
Kill/death ratio0.810.950.950.14 short
Match win rate48.8%42.1%42.6%above

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDavyM8FACEITLevel 1STANDINGTop 100.0% of rankedcsdb.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

Aim64
Positioning55
Utility39

0–100 skill scores via Leetify.

Recent form

HOT56–37–7Last 10056%Win rateWWWWWTWWWL

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +0.3pp headshot accuracy · +10ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 16%
  • Avg reaction 567ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 583ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

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 (+2.1 against its own average).

Aim6.4
Utility3.9
Positioning5.5
Opening Duels4.4
Clutch0.0

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

jL

Plays most like jL 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 586ms 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

Aim6.4
Positioning5.5
Utility3.9
Mechanics5.8
Opening Duels4.3
Win Impact9.3

Composite 5.8/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time596ms−51ms
first ⅓ avg 647ms → last ⅓ avg 596ms
Headshot accuracy16.7%+0.5%
first ⅓ avg 16.2% → last ⅓ avg 16.7%

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

0.11Best match rating · 13–3 · cache, 9 Oct →
33%Best headshot accuracy · 13–6 · dust2, 11 Jun →
422msFastest reaction time · 10–13 · inferno, 21 Mar →
13–1Biggest win · cache, 6 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W5Current streak
5–3In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 71% over 14nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A3218–1456%-0.01
mirageA1912–763%-0.01
infernoA1710–759%-0.01
cacheS1410–471%0.00
nukeC83–538%0.01
anubis—30–30%-0.00
overpass—31–233%-0.04
ancient—21–150%0.00
train—21–150%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,320Lifetime kills
0.81K/D
3,452Matches
48.8%Match win rate · Top 10% of Level 1 players
40.0%Headshot %
14.7%Shot accuracy · Top 50% of Level 1 players
6,485MVPs
1,269Hours (in match)
2,340Bombs planted
623Bombs defused

Most-used weapons

AK-4716,044
AWP4,454
P902,548
Negev1,999
P2501,851

Lifetime map wins

15,280dust2
4,225inferno
1,847nuke
1,088train
648vertigo
483office
305cbble
83assault

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

Faceit stats

Combat

89Matches
44%Win rate
0.85Avg K/D
80.8ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%0.578.0
Anubis10%0.649.0

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.

17.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.4%Spray accuracy
76.1%Counter-strafing
10.2°Preaim
586msReaction time
44.1%T opening success
50.3%CT opening success
0.53Enemies flashed / flash
2.6%Flash assists
11.66HE damage / grenade
2.31Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.3087 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–30.1115%9 Oct →
dust213–3-0.0216%9 Oct →
dust213–70.0521%9 Oct →
inferno13–70.0311%8 Oct →
mirage13–60.0719%8 Oct →
inferno12–120.0112%8 Oct →
mirage13–8-0.0325%2 Oct →
inferno13–80.0718%2 Oct →
mirage13–90.0725%30 Sept →
inferno2–100.0129%30 Sept →
inferno8–13-0.0818%7 Sept →
cache16–13-0.0123%7 Sept →
dust213–80.0324%7 Sept →
dust213–11-0.0215%29 Aug →
cache13–90.0925%26 Aug →
dust213–50.0515%26 Aug →
dust25–130.0214%26 Aug →
dust210–13-0.0815%26 Aug →
mirage10–130.0324%11 Aug →
dust212–120.0214%11 Aug →
dust213–4-0.0625%25 Jul →
nuke13–9-0.0315%25 Jul →
anubis3–13-0.0210%23 Jul →
nuke10–13-0.0212%18 Jul →
inferno15–15-0.026%18 Jul →
anubis1–70.0710%18 Jul →
inferno13–80.0516%16 Jul →
anubis7–13-0.0611%16 Jul →
dust213–11-0.0414%16 Jul →
mirage5–13-0.0119%16 Jul →
inferno13–7-0.0312%12 Jul →
nuke11–13-0.0010%12 Jul →
mirage2–13-0.1118%12 Jul →
dust213–16-0.0711%6 Jul →
ancient6–13-0.0110%6 Jul →
nuke13–90.0217%4 Jul →
mirage11–13-0.0611%1 Jul →
cache13–30.0518%1 Jul →
mirage13–10-0.0211%1 Jul →
overpass10–13-0.0515%20 Jun →
inferno13–10-0.0117%20 Jun →
dust213–4-0.0124%13 Jun →
dust29–13-0.0914%13 Jun →
inferno13–7-0.118%13 Jun →
cache13–5-0.0925%13 Jun →
mirage13–4-0.0921%13 Jun →
train13–20.0523%13 Jun →
dust213–70.0222%11 Jun →
dust213–60.0133%11 Jun →
cache13–1-0.069%6 Jun →
cache13–10-0.0614%6 Jun →
mirage13–110.0314%5 Jun →
nuke10–13-0.0315%5 Jun →
inferno13–6-0.0124%27 May →
dust210–130.0019%27 May →
cache13–8-0.0119%17 May →
cache12–12-0.053%7 May →
cache10–13-0.064%7 May →
cache9–130.0223%6 May →
cache13–40.0427%6 May →
cache13–100.0115%30 Apr →
cache5–130.0116%30 Apr →
mirage13–70.047%28 Apr →
dust210–130.0220%28 Apr →
nuke13–16-0.0415%27 Apr →
inferno10–1-0.0325%27 Apr →
dust213–50.0221%27 Apr →
mirage13–4-0.0122%27 Apr →
inferno12–120.0026%25 Apr →
mirage13–40.0417%21 Apr →
train9–13-0.0625%20 Apr →
dust213–70.0912%20 Apr →
inferno11–13-0.0217%20 Apr →
dust213–20.0510%1 Apr →
mirage13–80.0213%1 Apr →
dust25–13-0.0710%1 Apr →
overpass12–12-0.0523%1 Apr →
mirage13–11-0.019%27 Mar →
inferno13–60.0415%27 Mar →
dust213–10.0219%27 Mar →
ancient13–90.0222%24 Mar →
overpass13–8-0.0225%24 Mar →
inferno10–130.0115%21 Mar →
dust29–13-0.0414%21 Mar →
nuke6–130.0911%21 Mar →
dust29–13-0.0226%21 Mar →
dust212–120.0012%18 Mar →
inferno13–10-0.0311%18 Mar →
dust213–9-0.0112%15 Mar →
dust213–8-0.0416%15 Mar →
dust213–30.035%15 Mar →
mirage5–13-0.0421%12 Mar →
mirage6–130.0120%12 Mar →
dust213–100.0517%7 Mar →
dust24–13-0.0822%7 Mar →
nuke13–110.0714%5 Mar →
mirage13–6-0.039%28 Feb →
mirage9–13-0.0215%28 Feb →
dust26–13-0.0616%28 Feb →
dust25–13-0.0515%22 Feb →

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.