SpeX ™ ®

SpeX ™ ® — CS2 Stats

SE76561198125368280[U:1:165102552]Steam profile ↗✓ No bans

1,218Tracked matches53%Win rate2020Tracked since
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating12,992Blue band · top ~39% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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.

Rating over time

Premier CS Rating: 12,992 +5 13 Aug – 11 Oct · 25 days played
11,63513,358peak 13,35813 Aug11 Oct
13,358Peak Premier in tracked matches
1,064Highest Faceit ELO seen on CSDB
40Days played since 2026-08-13

Faceit ELO

  • At peak — 1,064
  • Next: Level 6 at 1,201 — 137 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

Premier CS Rating

  • 366 below peak (13,358)
  • +1,114 over 30 days · improving
  • Next: Purple band at 15,000 — 2,008 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGSpeX ™ ®PREMIER12,992 · Blue bandPEAK ELO1,064csdb.gg/stats

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Performance scores

Aim48
Positioning47
Utility10

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWLWWWWLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −47ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 634ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 631ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 654ms

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 (+2.3 against its own average).

Aim4.8
Utility1.0
Positioning4.7
Opening Duels1.6
Clutch2.4

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

donk

Plays most like donk 85% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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.

Reaction time. 652ms 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

Aim4.8
Positioning4.7
Utility1.0
Mechanics5.7
Opening Duels3.9
Win Impact6.1

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time649ms+23ms
first ⅓ avg 626ms → last ⅓ avg 649ms
Headshot accuracy17.1%+3.9%
first ⅓ avg 13.1% → last ⅓ avg 17.1%

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

0.09Best match rating · 13–10 · inferno, 21 Aug →
32%Best headshot accuracy · 5–13 · inferno, 1 Oct →
453msFastest reaction time · 13–9 · inferno, 14 Sept →
13–1Biggest win · inferno, 24 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB2915–1452%-0.02
cacheA1710–759%-0.02
mirageC125–742%-0.04
anubisB115–645%-0.02
dust2C114–736%-0.03
ancientS96–367%-0.02
nukeS64–267%-0.01
train—32–167%-0.06
overpass—21–150%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

662Matches
48%Win rate
0.85Avg K/D
74.5ADR
37%Headshot %

Clutches & streaks

32%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno7162%1.0914.5
Mirage5441%0.8614.9
Ancient3757%1.0414.0
Nuke1942%0.9614.9
Dust21937%1.1917.7
Train757%0.8412.7
Overpass3100%1.0711.7
Anubis333%0.9214.0

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.

16.6%Headshot accuracy
30.4%Accuracy (enemy spotted)
32.7%Spray accuracy
75.8%Counter-strafing
10.1°Preaim
652msReaction time
44.3%T opening success
46.7%CT opening success
0.07Enemies flashed / flash
0.0%Flash assists
8.47HE damage / grenade
0.26Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0679 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 11 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
anubis9–13-0.0423%11 Oct →
mirage13–4-0.0318%10 Oct →
inferno2–13-0.0820%10 Oct →
anubis10–2-0.0218%10 Oct →
cache13–60.0417%8 Oct →
inferno13–30.0015%6 Oct →
dust213–10-0.056%5 Oct →
ancient4–13-0.0518%1 Oct →
inferno5–13-0.0632%1 Oct →
anubis4–13-0.0213%1 Oct →
inferno6–130.0018%30 Sept →
inferno13–10-0.0424%30 Sept →
inferno13–8-0.0116%30 Sept →
overpass6–130.0318%29 Sept →
cache16–130.0113%29 Sept →
overpass13–3-0.0819%28 Sept →
dust214–16-0.0319%27 Sept →
dust26–13-0.0413%26 Sept →
cache9–13-0.049%19 Sept →
inferno7–13-0.0414%17 Sept →
cache13–100.0229%16 Sept →
inferno13–10-0.0421%15 Sept →
inferno13–9-0.039%14 Sept →
ancient13–9-0.039%13 Sept →
mirage11–13-0.0220%12 Sept →
dust213–100.0219%12 Sept →
cache13–40.0616%12 Sept →
train3–13-0.0816%12 Sept →
train13–4-0.076%12 Sept →
cache11–13-0.0414%11 Sept →
inferno13–16-0.0321%6 Sept →
ancient8–13-0.0515%6 Sept →
mirage13–90.0029%6 Sept →
mirage13–11-0.048%5 Sept →
inferno13–110.0626%5 Sept →
dust213–9-0.0420%3 Sept →
cache8–13-0.0420%3 Sept →
mirage7–13-0.0711%2 Sept →
ancient13–100.0318%2 Sept →
cache8–13-0.0617%31 Aug →
inferno13–8-0.0319%30 Aug →
anubis13–8-0.0516%30 Aug →
nuke11–13-0.0123%30 Aug →
cache7–13-0.106%30 Aug →
inferno8–13-0.0112%29 Aug →
mirage13–7-0.0815%28 Aug →
cache13–40.0314%28 Aug →
dust21–13-0.0320%28 Aug →
cache13–110.0215%28 Aug →
inferno13–9-0.0221%28 Aug →
ancient16–140.0317%25 Aug →
cache6–13-0.0716%24 Aug →
inferno13–10.037%24 Aug →
inferno14–16-0.0225%23 Aug →
mirage15–15-0.0213%23 Aug →
inferno8–13-0.0410%23 Aug →
nuke16–130.0521%22 Aug →
dust29–13-0.0422%22 Aug →
anubis13–8-0.028%22 Aug →
mirage10–13-0.0127%22 Aug →
inferno10–13-0.0522%22 Aug →
mirage9–13-0.0819%22 Aug →
nuke13–10-0.0110%21 Aug →
inferno13–40.0320%21 Aug →
train13–8-0.0116%21 Aug →
inferno13–100.0921%21 Aug →
anubis17–190.0517%21 Aug →
inferno13–80.0211%21 Aug →
dust29–13-0.0210%21 Aug →
nuke13–8-0.0418%20 Aug →
inferno13–7-0.0421%20 Aug →
cache13–10-0.0117%20 Aug →
inferno10–13-0.019%20 Aug →
inferno7–13-0.0612%19 Aug →
anubis9–13-0.0010%19 Aug →
ancient13–4-0.0519%19 Aug →
dust26–13-0.0313%19 Aug →
nuke13–7-0.055%19 Aug →
inferno13–3-0.0011%19 Aug →
dust28–13-0.007%18 Aug →
nuke10–13-0.0014%18 Aug →
inferno13–70.0015%18 Aug →
ancient11–13-0.0117%18 Aug →
anubis8–13-0.0516%18 Aug →
mirage11–13-0.0512%17 Aug →
anubis7–13-0.0318%17 Aug →
ancient13–100.0317%16 Aug →
cache13–50.026%16 Aug →
inferno4–9-0.1614%16 Aug →
cache13–6-0.0216%15 Aug →
ancient13–7-0.0721%15 Aug →
mirage2–13-0.0716%15 Aug →
inferno5–13-0.0914%15 Aug →
dust213–4-0.0414%15 Aug →
anubis13–110.016%15 Aug →
mirage13–6-0.0412%15 Aug →
cache10–13-0.046%15 Aug →
anubis13–10-0.029%14 Aug →
inferno9–130.0114%14 Aug →
cache13–7-0.0614%13 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 →

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