DrakeMon

DrakeMon — CS2 Stats

RO76561198047729749[U:1:87464021]Steam profile ↗✓ No bans

535Tracked matches43%Win rate2020Tracked since
2,171Hours in CS2Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 535 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,304 +4,698 28 May – 27 Oct · 26 days played
11,91718,884peak 18,88428 May27 Oct
18,884Peak Premier in tracked matches
36Days played since 2026-05-26

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

No matches recorded between 6 Nov 2026 and 14 Nov 2026.

Measured 6 Nov 2026 → 14 Nov 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.

Performance scores

Aim45
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLWLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −1.6pp headshot accuracy · −68ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 541ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 560ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 594ms

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).

Aim4.5
Utility4.9
Positioning4.3
Opening Duels0.6
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

iM

Plays most like iM 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 46% on T to 26% on CT — first contacts on the defending side are being lost.

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.5
Positioning4.3
Utility4.9
Mechanics4.4
Opening Duels2.0
Win Impact2.8

Composite 4.1/10 (Developing), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time597ms−13ms
first ⅓ avg 610ms → last ⅓ avg 597ms
Headshot accuracy11.3%−1.3%
first ⅓ avg 12.6% → last ⅓ avg 11.3%

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

0.08Best match rating · 13–11 · inferno, 27 May →
21%Best headshot accuracy · 7–13 · dust2, 13 Jul →
453msFastest reaction time · 8–13 · mirage, 30 Jun →
13–3Biggest win · mirage, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
8–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2814–1450%-0.01
mirageA2011–955%-0.01
cacheC166–1038%-0.02
ancientD122–1017%-0.03
infernoC104–640%-0.02
nukeD62–433%-0.01
anubisA53–260%-0.03
train—20–20%0.01
vertigo—10–10%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,356Lifetime kills
0.88K/D
3,293Matches
41.9%Match win rate
31.1%Headshot %
14.3%Shot accuracy · Top 50% of tracked players
7,094MVPs
1,176Hours (in match)
3,118Bombs planted
689Bombs defused

Most-used weapons

AK-4711,627
AWP4,470
P902,739
MAC-102,295
MP91,776
UMP-451,501

Lifetime map wins

8,303dust2
3,723inferno
824nuke
679train
458vertigo
349cbble
222office
99lake

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

Faceit stats

Combat

192Matches
52%Win rate
0.99Avg K/D
72.3ADR
32%Headshot %

Clutches & streaks

25%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2277%1.1414.1
Dust21547%0.8313.2
Ancient933%0.7012.9
Anubis944%0.9513.0
Inferno560%0.9214.4
Nuke1100%1.5420.0
Train10%0.7110.0

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.

11.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.8%Spray accuracy
69.7%Counter-strafing
11.6°Preaim
599msReaction time
46.2%T opening success
26.4%CT opening success
0.46Enemies flashed / flash
6.5%Flash assists
7.99HE damage / grenade
6.33Flashes / 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 11.6815% — 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 0.4576 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 26.3996% — below the 40% mark we flag

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.017%2 Nov →
mirage3–130.0111%2 Nov →
ancient6–13-0.088%2 Nov →
dust213–5-0.0211%15 Oct →
cache3–13-0.049%15 Oct →
mirage5–13-0.0311%15 Oct →
dust211–13-0.0311%15 Oct →
cache13–7-0.018%1 Oct →
inferno10–130.0215%1 Oct →
dust213–11-0.0213%1 Oct →
nuke8–13-0.014%1 Oct →
cache11–13-0.0412%18 Sept →
mirage13–11-0.0221%18 Sept →
mirage10–13-0.068%18 Sept →
mirage5–130.0012%18 Sept →
mirage13–30.0512%8 Sept →
mirage13–8-0.0216%28 Aug →
cache13–3-0.0214%7 Aug →
mirage13–10-0.017%3 Aug →
ancient7–13-0.0614%3 Aug →
dust216–12-0.0418%3 Aug →
cache8–1-0.0716%3 Aug →
ancient9–13-0.0413%28 Jul →
mirage13–80.0015%27 Jul →
dust210–13-0.029%23 Jul →
dust29–130.0311%22 Jul →
ancient13–70.0117%22 Jul →
cache9–13-0.0413%22 Jul →
cache10–13-0.026%17 Jul →
mirage13–70.0210%17 Jul →
dust213–9-0.073%17 Jul →
cache13–10-0.0416%16 Jul →
dust25–13-0.044%16 Jul →
cache11–130.0211%14 Jul →
mirage13–10-0.0216%14 Jul →
anubis13–6-0.0213%14 Jul →
cache9–13-0.0512%14 Jul →
cache3–13-0.057%14 Jul →
ancient1–13-0.073%13 Jul →
dust213–40.0815%13 Jul →
cache13–9-0.0210%13 Jul →
mirage13–10-0.0413%13 Jul →
dust27–130.0321%13 Jul →
dust213–70.0211%12 Jul →
nuke13–60.023%12 Jul →
mirage13–100.0612%12 Jul →
ancient16–130.0116%12 Jul →
dust29–13-0.0013%12 Jul →
ancient9–13-0.047%11 Jul →
nuke14–16-0.024%11 Jul →
mirage13–100.0713%9 Jul →
dust213–11-0.018%9 Jul →
ancient10–13-0.0210%7 Jul →
train12–120.0014%7 Jul →
vertigo11–130.008%7 Jul →
inferno13–7-0.0210%6 Jul →
inferno13–80.044%30 Jun →
anubis10–13-0.015%30 Jun →
mirage8–13-0.014%30 Jun →
mirage13–11-0.0216%30 Jun →
dust213–80.015%30 Jun →
nuke13–100.046%30 Jun →
dust213–110.039%30 Jun →
inferno2–9-0.0710%30 Jun →
nuke3–9-0.1111%30 Jun →
anubis13–10-0.036%29 Jun →
inferno10–13-0.036%29 Jun →
dust29–13-0.0119%29 Jun →
train7–130.0215%29 Jun →
ancient10–130.0214%29 Jun →
ancient7–13-0.0417%29 Jun →
mirage10–13-0.0515%22 Jun →
dust210–13-0.0415%22 Jun →
dust213–9-0.0012%21 Jun →
dust215–15-0.025%21 Jun →
inferno4–13-0.0715%18 Jun →
ancient10–13-0.0211%18 Jun →
dust213–5-0.0012%9 Jun →
inferno13–11-0.079%9 Jun →
nuke6–130.0111%8 Jun →
dust211–13-0.0717%8 Jun →
ancient3–13-0.054%4 Jun →
dust20–13-0.0720%4 Jun →
dust27–13-0.0014%4 Jun →
dust213–60.0815%4 Jun →
mirage9–13-0.099%2 Jun →
anubis4–13-0.0416%2 Jun →
dust23–13-0.077%2 Jun →
cache10–13-0.0112%31 May →
anubis13–11-0.0316%30 May →
cache7–130.014%30 May →
inferno7–13-0.0513%30 May →
dust213–40.055%29 May →
inferno9–13-0.0617%29 May →
mirage7–13-0.087%28 May →
cache13–90.0215%28 May →
dust213–9-0.0319%28 May →
inferno13–110.0812%27 May →
cache3–9-0.007%27 May →
dust26–13-0.0616%26 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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