EFEX

EFEX — CS2 Stats

EE76561199561286407[U:1:1601020679]Steam profile ↗✓ No bans

1,409Tracked matches57%Win rate2025Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating12,753Blue band · top ~40.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+197Premier CS Rating · 12,556 → 12,753

Rating over time

Premier CS Rating: 12,753 +3,496 30 Sept – 5 Nov · 23 days played
9,25714,579peak 14,57930 Sept5 Nov
14,972Peak Premier in tracked matches
24Days played since 2026-09-30

Premier CS Rating

  • 1,826 below peak (14,579)
  • +3,454 over 30 days · improving
  • Next: Purple band at 15,000 — 2,247 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGEFEXFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER12,753 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY57–37–6Last 10057%Win rateWWTLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +4.9pp headshot accuracy · −19ms reaction

Win rate up 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 614ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 592ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 602ms

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 (+1.6 against its own average).

Aim6.5
Utility5.5
Positioning5.3
Opening Duels1.8
Clutch3.0

Effective flashes

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

Twistzz

Plays most like Twistzz 83% 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

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 607ms 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
Positioning5.3
Utility5.5
Mechanics6.6
Opening Duels3.5
Win Impact7.4

Composite 5.6/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time609ms−51ms
first ⅓ avg 660ms → last ⅓ avg 609ms
Headshot accuracy18.3%−6.3%
first ⅓ avg 24.6% → last ⅓ avg 18.3%

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

0.16Best match rating · 13–2 · ancient, 30 Sept →
50%Best headshot accuracy · 5–13 · mirage, 23 Oct →
422msFastest reaction time · 13–7 · nuke, 15 Oct →
13–0Biggest win · nuke, 5 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 77% over 13infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A2112–957%0.02
mirageA1912–763%0.00
anubisA148–657%0.01
infernoC145–936%0.02
cacheS1310–377%0.01
nukeA106–460%0.01
ancientC94–544%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

558Matches
50%Win rate
1.03Avg K/D
76.7ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15752%1.0315.3
Dust213249%1.0715.3
Anubis7650%0.9914.7
Ancient6957%1.1314.5
Nuke5553%1.0015.4
Inferno4240%1.0015.2
Cache2133%0.8411.8
Overpass540%1.0117.0

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.

18.0%Headshot accuracy
34.4%Accuracy (enemy spotted)
29.3%Spray accuracy
79.9%Counter-strafing
8.7°Preaim
607msReaction time
43.9%T opening success
44.1%CT opening success
0.81Enemies flashed / flash
6.5%Flash assists
6.81HE damage / grenade
8.56Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–7-0.0411%5 Nov →
nuke13–00.0437%5 Nov →
cache15–150.0316%4 Nov →
dust27–13-0.0137%3 Nov →
dust213–90.056%3 Nov →
mirage13–70.0224%3 Nov →
nuke3–13-0.0211%2 Nov →
dust219–160.0320%2 Nov →
cache13–10.0314%30 Oct →
mirage8–13-0.0331%30 Oct →
nuke16–14-0.0626%30 Oct →
dust216–19-0.0416%29 Oct →
ancient6–13-0.0416%29 Oct →
mirage8–13-0.0015%29 Oct →
ancient16–120.0026%29 Oct →
inferno5–130.0315%29 Oct →
nuke13–60.025%29 Oct →
inferno8–13-0.056%29 Oct →
inferno8–130.0413%28 Oct →
mirage13–70.0421%28 Oct →
cache13–6-0.0321%28 Oct →
dust213–9-0.0119%28 Oct →
mirage13–100.0119%28 Oct →
anubis5–130.1124%28 Oct →
anubis13–30.1118%27 Oct →
nuke13–80.0213%27 Oct →
anubis13–90.0614%27 Oct →
anubis15–15-0.0214%27 Oct →
nuke14–16-0.0215%26 Oct →
dust24–13-0.0524%26 Oct →
anubis4–13-0.0323%26 Oct →
cache13–100.0421%25 Oct →
nuke15–150.0015%24 Oct →
cache7–13-0.0024%24 Oct →
mirage13–10-0.058%24 Oct →
anubis13–100.076%24 Oct →
cache13–3-0.0118%24 Oct →
inferno11–130.0413%24 Oct →
cache13–80.0020%23 Oct →
cache13–60.0735%23 Oct →
dust24–13-0.0423%23 Oct →
anubis3–13-0.0814%23 Oct →
anubis13–30.0731%23 Oct →
mirage5–13-0.0250%23 Oct →
inferno13–80.0019%22 Oct →
anubis13–5-0.0019%22 Oct →
inferno15–150.0524%22 Oct →
ancient9–13-0.0221%22 Oct →
inferno13–110.0630%21 Oct →
anubis13–7-0.0625%21 Oct →
dust28–13-0.1024%21 Oct →
ancient15–15-0.048%21 Oct →
mirage19–17-0.0413%21 Oct →
mirage11–13-0.0111%21 Oct →
mirage13–60.0317%21 Oct →
dust213–80.0316%20 Oct →
ancient10–13-0.044%20 Oct →
inferno6–13-0.0220%20 Oct →
mirage13–90.0912%19 Oct →
ancient4–130.0915%19 Oct →
dust213–9-0.0229%19 Oct →
cache8–13-0.0236%19 Oct →
dust213–90.1324%18 Oct →
inferno6–13-0.0229%18 Oct →
inferno13–100.0622%18 Oct →
inferno13–60.0427%17 Oct →
dust27–130.1116%17 Oct →
cache13–11-0.0412%16 Oct →
nuke13–90.1229%16 Oct →
dust24–130.1043%16 Oct →
anubis10–13-0.0417%16 Oct →
mirage13–9-0.0519%16 Oct →
dust211–13-0.0425%16 Oct →
mirage13–40.0420%16 Oct →
dust213–90.1524%16 Oct →
dust213–110.0410%16 Oct →
cache13–90.0215%16 Oct →
inferno8–13-0.0521%16 Oct →
dust23–130.0430%16 Oct →
dust213–10.0333%16 Oct →
mirage13–70.0230%16 Oct →
cache13–100.0533%15 Oct →
nuke13–70.0023%15 Oct →
mirage13–60.0118%15 Oct →
mirage13–160.0013%3 Oct →
cache13–80.0341%3 Oct →
mirage9–13-0.027%2 Oct →
mirage13–90.0517%2 Oct →
inferno15–150.1025%2 Oct →
dust213–40.0536%2 Oct →
anubis16–120.0438%1 Oct →
nuke8–13-0.0430%1 Oct →
ancient13–50.0625%1 Oct →
mirage8–13-0.0124%1 Oct →
ancient13–4-0.0520%1 Oct →
dust213–50.0326%1 Oct →
dust213–4-0.0136%1 Oct →
anubis3–13-0.0421%1 Oct →
inferno13–4-0.0133%30 Sept →
ancient13–20.1617%30 Sept →

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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