Deimos

Deimos — CS2 Stats

EE76561198322043776[U:1:361778048]Steam profile ↗✓ No bans

892Tracked matches30%Win rate2020Tracked since
1,991Hours in CS14Hrs last 2 wks
CSDB Rating1.8 LearningPositional Player
Premier CS Rating4,886Grey band · top ~79.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (4 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: 4,886 +256 25 May – 27 Sept · 16 days played
4,6307,336peak 7,33625 May27 Sept
7,336Peak Premier in tracked matches
36Days played since 2026-05-25

Premier CS Rating

  • 2,450 below peak (7,336)
  • -1,575 over 30 days · declining
  • Next: Light Blue band at 5,000 — 114 to go
  • Reached: Light Blue band

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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.5%38.2%39.9%3.4% short
Shot accuracy13.2%3.6%7.0%above
Kill/death ratio0.900.830.92meets
Match win rate41.0%40.2%42.3%1.3% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGDeimosPREMIER4,886 · Grey bandcsdb.gg/stats

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Performance scores

Aim18
Positioning33
Utility32

0–100 skill scores via Leetify.

Recent form

COLD37–56–7Last 10037%Win rateLLLLLLLWLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −123ms reaction

Win rate down 30pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 616ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 604ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 665ms

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).

Aim1.8
Utility3.2
Positioning3.3
Opening Duels0.8
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 69% 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

Reaction time. 661ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim1.8
Positioning3.3
Utility3.2
Mechanics1.5
Opening Duels0.5
Win Impact0.0

Composite 1.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time659ms−62ms
first ⅓ avg 721ms → last ⅓ avg 659ms
Headshot accuracy11.5%−1.9%
first ⅓ avg 13.4% → last ⅓ avg 11.5%

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

0.10Best match rating · 13–3 · cache, 27 Jul →
28%Best headshot accuracy · 13–7 · overpass, 25 May →
430msFastest reaction time · 4–13 · vertigo, 4 Jun →
13–1Biggest win · cache, 30 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L7Current streak
6–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageD196–1332%-0.05
cacheA148–657%-0.02
dust2D133–1023%-0.06
nukeC125–742%-0.03
infernoC104–640%-0.06
ancientC83–538%-0.06
anubisD62–433%-0.04
overpassA53–260%-0.03
vertigo—40–40%-0.08
boulder—21–150%-0.01
fachwerk—21–150%-0.07
office—20–20%-0.03
shelter—11–0100%-0.00
italy—10–10%-0.09
warden—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,809Lifetime kills
0.90K/D · Top 50% of Grey band
3,546Matches
41.0%Match win rate · Top 50% of Grey band
36.5%Headshot %
13.2%Shot accuracy · Top 25% of Grey band
6,472MVPs
1,061Hours (in match)
2,277Bombs planted
439Bombs defused

Most-used weapons

AK-4713,412
AWP3,732
SSG 081,498
MP71,352
P901,321

Lifetime map wins

4,287dust2
3,259inferno
1,356vertigo
1,195nuke
1,025office
943train
837lake
470cbble

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

Faceit stats

Combat

4Matches
50%Win rate
0.85Avg K/D
85.2ADR
35%Headshot %

Clutches & streaks

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

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1100%1.0015.0
Nuke10%0.9314.0

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.

11.8%Headshot accuracy
26.5%Accuracy (enemy spotted)
30.9%Spray accuracy
56.6%Counter-strafing
11.2°Preaim
661msReaction time
25.3%T opening success
33.7%CT opening success
0.38Enemies flashed / flash
0.8%Flash assists
9.96HE damage / grenade
4.92Flashes / 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. 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 11.7512% — 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 0.3835 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.3062% — below the 40% mark we flag

Spend your practice time on Dust 2

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.048%27 Sept →
inferno9–13-0.048%27 Sept →
mirage6–13-0.0818%26 Sept →
anubis7–13-0.086%24 Sept →
inferno7–13-0.0610%23 Sept →
boulder10–130.0117%23 Sept →
dust210–13-0.0311%22 Sept →
nuke13–50.0213%22 Sept →
nuke3–13-0.0913%13 Sept →
inferno9–13-0.076%8 Sept →
dust24–13-0.1213%8 Sept →
dust21–13-0.105%4 Sept →
cache13–11-0.038%1 Sept →
mirage7–13-0.098%1 Sept →
dust213–100.009%30 Aug →
dust28–13-0.0315%30 Aug →
nuke9–13-0.068%30 Aug →
mirage8–13-0.0317%30 Aug →
dust213–6-0.0524%30 Aug →
cache13–9-0.016%28 Aug →
anubis6–13-0.0811%24 Aug →
mirage13–11-0.0115%24 Aug →
nuke2–13-0.1313%23 Aug →
dust26–13-0.0916%23 Aug →
cache6–13-0.049%23 Aug →
cache13–5-0.0318%17 Aug →
inferno10–13-0.0715%17 Aug →
mirage13–50.0112%17 Aug →
nuke13–8-0.0312%17 Aug →
mirage2–13-0.0610%17 Aug →
dust213–8-0.052%16 Aug →
inferno13–11-0.0910%16 Aug →
dust24–13-0.1014%11 Aug →
mirage13–7-0.0512%4 Aug →
ancient11–130.019%4 Aug →
cache13–10-0.008%3 Aug →
ancient13–4-0.0722%2 Aug →
mirage4–13-0.0314%30 Jul →
dust214–160.0217%28 Jul →
mirage10–13-0.0212%28 Jul →
anubis13–20.0513%28 Jul →
cache13–30.106%27 Jul →
nuke13–10-0.037%26 Jul →
cache1–13-0.0119%26 Jul →
fachwerk7–13-0.0918%26 Jul →
nuke13–110.0114%26 Jul →
cache4–13-0.1015%24 Jul →
shelter13–4-0.0015%24 Jul →
boulder13–6-0.0414%24 Jul →
fachwerk13–7-0.0410%24 Jul →
ancient6–13-0.076%19 Jul →
anubis7–13-0.0613%19 Jul →
mirage3–13-0.083%18 Jul →
dust20–13-0.0621%18 Jul →
office12–12-0.0216%14 Jul →
office11–13-0.0411%14 Jul →
cache7–13-0.0417%14 Jul →
nuke9–130.0221%7 Jul →
nuke15–15-0.0221%4 Jul →
dust27–13-0.0627%6 Jun →
inferno6–13-0.046%6 Jun →
ancient5–13-0.108%6 Jun →
dust25–13-0.076%6 Jun →
nuke13–5-0.045%6 Jun →
mirage12–12-0.0710%6 Jun →
inferno13–6-0.0623%4 Jun →
vertigo5–13-0.087%4 Jun →
vertigo4–13-0.138%4 Jun →
vertigo8–13-0.0219%4 Jun →
mirage12–12-0.097%3 Jun →
cache6–13-0.0114%3 Jun →
vertigo5–13-0.1012%3 Jun →
mirage8–13-0.087%1 Jun →
ancient14–16-0.057%1 Jun →
inferno6–13-0.1016%1 Jun →
overpass11–13-0.0910%1 Jun →
anubis6–13-0.0414%1 Jun →
mirage13–7-0.0117%31 May →
mirage6–13-0.056%31 May →
italy12–12-0.096%31 May →
ancient13–5-0.0821%30 May →
overpass13–110.0110%30 May →
cache13–1-0.0923%30 May →
warden9–13-0.0210%30 May →
anubis13–11-0.0314%30 May →
cache13–40.0213%30 May →
ancient13–10-0.0216%30 May →
mirage8–13-0.0313%25 May →
inferno13–3-0.0313%25 May →
overpass13–4-0.0117%25 May →
mirage13–100.0021%25 May →
mirage13–3-0.0516%25 May →
nuke9–13-0.0511%25 May →
inferno13–9-0.0510%25 May →
overpass6–130.0112%25 May →
ancient4–13-0.058%25 May →
nuke12–12-0.0013%25 May →
overpass13–7-0.0628%25 May →
cache12–120.0223%25 May →
cache13–6-0.008%25 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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