DjinnXIII

DjinnXIII — CS2 Stats

76561198391056353[U:1:430790625]Steam profile ↗✓ No bans

869Tracked matches64%Win rate2021Tracked since
2,216Hours in CS1Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating18,644Top 50% of 206,528 CSDB-tracked playersPurple band · top ~13.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 18,644 → 18,644
+10Tracked matches · now 869
+6.3ppWin rate · 57.7% → 64.0%

Rating over time

Premier CS Rating: 18,644 +2,577 26 Jul – 20 Sept · 10 days played
16,06718,644peak 18,64426 Jul20 Sept
18,644Peak Premier in tracked matches
40Days played since 2026-07-16

Premier CS Rating

  • At peak — 18,644
  • 0 over 30 days · steady
  • Next: Pink band at 20,000 — 1,356 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches15——
Win rate53%——
K/D1.31——
Headshot %44%——

Measured 20 Sep 2026 → 19 Oct 2026; no observation near 60 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 6 among CSDB-tracked players (n=13,185), 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 6 medianLevel 7 medianvs Level 7
Headshot rate39.9%44.8%45.7%5.8% short
Shot accuracy8.3%12.4%12.7%4.4% short
Kill/death ratio1.221.031.05above
Match win rate46.2%45.2%45.7%meets

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDjinnXIIIFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,644 · Purple 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

Aim65
Positioning66
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48–40–12Last 10048%Win rateWWWWTLLWLT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −2.4pp headshot accuracy · −11ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 561ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 593ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 599ms

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).

Aim6.5
Utility4.7
Positioning6.6
Opening Duels6.0
Clutch3.0

Strong CT-side openerLimited 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

s1mple

Plays most like s1mple 84% 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

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim6.5
Positioning6.6
Utility4.7
Mechanics4.5
Opening Duels5.4
Win Impact9.7

Composite 6.2/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time593ms−7ms
first ⅓ avg 600ms → last ⅓ avg 593ms
Headshot accuracy19.1%+0.3%
first ⅓ avg 18.8% → last ⅓ avg 19.1%

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 · 13–4 · ancient, 11 Aug →
42%Best headshot accuracy · 6–13 · train, 18 Aug →
406msFastest reaction time · 16–14 · inferno, 9 Aug →
13–2Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W4Current streak
8–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 32% over 25
MapGradePlayedRecordWin rateAvg rating
infernoD258–1732%0.00
dust2B199–1047%0.00
cacheS1510–567%0.02
nukeA117–464%0.02
anubisB105–550%0.02
mirageS75–271%0.02
ancientD62–433%0.01
train—31–233%-0.04
vertigo—31–233%0.03
boulder—10–10%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,808Lifetime kills
1.22K/D · Top 25% of Level 6 players
3,063Matches
46.2%Match win rate · Top 50% of Level 6 players
39.9%Headshot %
8.3%Shot accuracy
8,256MVPs
1,170Hours (in match)
3,420Bombs planted
750Bombs defused

Most-used weapons

AWP19,098
AK-4711,058
P902,594
MP91,999
MAC-101,867
SSG 081,662

Lifetime map wins

8,405inferno
5,740dust2
2,603nuke
1,147vertigo
327train
96office
52lake
47italy

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

Faceit stats

Combat

157Matches
50%Win rate
1.21Avg K/D
85.0ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno4351%1.3218.2
Dust23647%1.0315.8
Anubis2259%1.1615.4
Nuke1464%1.1417.4
Mirage1164%1.4217.4
Ancient838%1.1517.1
Cache743%1.2019.0
Overpass10%1.0014.0

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.

19.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
33.4%Spray accuracy
70.4%Counter-strafing
8.5°Preaim
599msReaction time
39.2%T opening success
63.8%CT opening success
0.53Enemies flashed / flash
10.6%Flash assists
13.82HE damage / grenade
2.42Flashes / 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 2.4215 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 39.1776% — below the 40% mark we flag

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.

32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0118%5 Oct →
cache13–9-0.0114%5 Oct →
train13–3-0.016%2 Oct →
cache13–90.1011%2 Oct →
ancient12–120.0514%27 Sept →
vertigo9–130.0718%21 Sept →
inferno6–13-0.0317%21 Sept →
cache13–100.0724%16 Sept →
dust210–130.0420%8 Sept →
inferno12–12-0.0417%7 Sept →
anubis8–13-0.0423%7 Sept →
mirage13–110.0318%7 Sept →
dust212–160.0528%5 Sept →
cache6–13-0.076%5 Sept →
nuke13–40.1116%5 Sept →
inferno13–7-0.0020%5 Sept →
anubis13–40.0724%5 Sept →
dust213–40.0417%4 Sept →
cache7–13-0.0124%4 Sept →
dust212–120.018%2 Sept →
boulder12–120.0619%30 Aug →
cache13–4-0.0419%29 Aug →
dust22–13-0.0511%29 Aug →
nuke13–4-0.0211%28 Aug →
inferno13–40.0528%28 Aug →
inferno12–120.0323%28 Aug →
dust210–130.0333%28 Aug →
mirage13–80.0935%28 Aug →
cache13–90.0526%28 Aug →
cache13–8-0.0015%27 Aug →
dust213–10-0.0117%24 Aug →
nuke10–130.0823%23 Aug →
inferno7–130.0029%23 Aug →
train10–13-0.0221%23 Aug →
dust23–13-0.0436%23 Aug →
inferno13–40.0923%22 Aug →
mirage13–11-0.0125%22 Aug →
inferno8–130.0617%21 Aug →
nuke13–60.0821%21 Aug →
dust213–20.0618%21 Aug →
inferno7–13-0.0324%21 Aug →
inferno5–13-0.0233%21 Aug →
cache2–13-0.0131%21 Aug →
vertigo12–120.0041%21 Aug →
nuke13–110.0335%20 Aug →
inferno3–13-0.0422%20 Aug →
cache13–30.0823%20 Aug →
cache13–80.0229%19 Aug →
nuke6–13-0.0836%19 Aug →
dust24–13-0.0241%19 Aug →
inferno11–130.0312%18 Aug →
train6–13-0.0842%18 Aug →
dust212–1-0.0125%17 Aug →
cache8–13-0.0210%16 Aug →
nuke12–12-0.0520%16 Aug →
anubis3–13-0.085%16 Aug →
ancient8–13-0.0327%16 Aug →
dust25–13-0.0928%16 Aug →
inferno13–9-0.0234%16 Aug →
anubis13–110.0617%16 Aug →
cache10–130.0221%16 Aug →
nuke13–70.0720%15 Aug →
nuke5–00.0723%14 Aug →
inferno8–13-0.0414%14 Aug →
inferno12–12-0.0023%14 Aug →
anubis13–30.1021%14 Aug →
cache13–80.0321%14 Aug →
inferno13–30.0328%14 Aug →
inferno13–11-0.0613%12 Aug →
ancient13–40.1118%11 Aug →
anubis13–60.0717%10 Aug →
dust213–110.0021%9 Aug →
inferno16–140.0323%9 Aug →
dust213–9-0.0013%7 Aug →
dust213–9-0.0217%7 Aug →
ancient12–120.0540%5 Aug →
inferno5–13-0.0221%2 Aug →
anubis11–130.0325%2 Aug →
mirage10–130.0020%2 Aug →
nuke13–9-0.0114%2 Aug →
inferno5–130.0011%30 Jul →
vertigo13–30.039%27 Jul →
inferno12–12-0.019%27 Jul →
cache13–30.0418%27 Jul →
inferno3–13-0.0718%26 Jul →
anubis7–13-0.0331%26 Jul →
mirage5–13-0.0019%26 Jul →
inferno13–70.0618%26 Jul →
ancient13–10-0.027%26 Jul →
anubis13–6-0.0418%25 Jul →
inferno5–130.0126%25 Jul →
mirage13–40.0117%25 Jul →
dust25–13-0.0214%21 Jul →
nuke7–13-0.0121%20 Jul →
dust212–120.0127%20 Jul →
anubis15–150.0315%17 Jul →
inferno11–130.0516%17 Jul →
mirage13–11-0.0117%17 Jul →
dust213–60.0521%17 Jul →
ancient6–13-0.0819%16 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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