Surreal

Surreal — CS2 Stats

PRO“Surreal^”Free AgentUnited KingdomRiflerSettings & gear profile →

GB76561198044840457[U:1:84574729]Steam profile ↗✓ No bans

3,157Tracked matches70%Win rate2020Tracked since
CSDB Rating8.2 StrongOpening Duellist
FaceitLevel 10 · 3,087 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,087 → 3,087
+4Tracked matches · now 3,157
0.0ppWin rate · 70.0% → 70.0%

Rating over time

Faceit ELO: 3,087 +0 28 Aug – 23 Sept · 7 observations
3,0873,087peak 3,08728 Aug23 Sept
3,087Highest Faceit ELO seen on CSDB
72Days played since 2024-04-01

Faceit ELO

  • At peak — 3,087
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 413 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGSurrealFACEITLevel 10 · 3,087 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,087csdb.gg/stats

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Performance scores

Aim85
Positioning79
Utility57

0–100 skill scores via Leetify.

Recent form

HOT64–36Last 10064%Win rateWWWLWLWWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · +26ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 18%
  • Avg reaction 553ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 540ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.5
Utility5.7
Positioning7.9
Opening Duels8.4
Clutch3.8

Sharp aimerEffective flashesLimited 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 89% playstyle similarity

Most alike: opening-duel success, positioning 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. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

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

Aim8.5
Positioning7.9
Utility5.7
Mechanics6.9
Opening Duels7.7
Win Impact10.0

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.01
first ⅓ avg 0.04 → last ⅓ avg 0.05
Reaction time536ms+17ms
first ⅓ avg 519ms → last ⅓ avg 536ms
Headshot accuracy20.6%+0.7%
first ⅓ avg 19.9% → last ⅓ avg 20.6%

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

0.23Best match rating · 13–2 · inferno, 28 Jan →
40%Best headshot accuracy · 13–5 · ancient, 2 Jul →
344msFastest reaction time · 13–7 · mirage, 1 Apr →
13–1Biggest win · ancient, 12 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
11–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 86% over 7trainWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2113–862%0.04
mirageB2010–1050%0.05
nukeS1712–571%0.05
anubisS128–467%0.05
trainC94–544%0.04
ancientS86–275%0.03
infernoS76–186%0.10
cache—32–167%0.06
overpass—33–0100%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

5,041Matches
64%Win rate
1.49Avg K/D
108.9ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
24Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage23860%1.7221.7
Ancient16163%1.5620.2
Dust214065%1.7823.1
Anubis11466%1.6221.7
Inferno10167%1.7221.2
Nuke7958%1.8025.8
Vertigo4871%1.5116.3
Overpass4779%1.8024.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$2,281Inventory value73ItemsFull inventory breakdown →
★ M9 Bayonet | Gamma Doppler (Factory New)$1,688StatTrak™ AK-47 | Asiimov (Minimal Wear)$159StatTrak™ AK-47 | Neon Rider (Field-Tested)$124StatTrak™ USP-S | Printstream (Field-Tested)$102Desert Eagle | Printstream (Field-Tested)$51StatTrak™ Glock-18 | Snack Attack (Field-Tested)$31

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.0%Headshot accuracy
38.9%Accuracy (enemy spotted)
40.3%Spray accuracy
81.0%Counter-strafing
9.8°Preaim
531msReaction time
59.8%T opening success
61.5%CT opening success
0.81Enemies flashed / flash
13.8%Flash assists
10.74HE damage / grenade
4.71Flashes / match

Recommended for you

Spend your practice time on Train

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0120%9 Jun →
cache13–50.1413%29 May →
nuke13–50.1118%27 May →
cache11–130.0316%25 May →
dust216–130.0916%24 May →
nuke4–130.0221%24 May →
cache13–100.0014%16 May →
overpass16–140.0821%9 May →
mirage13–60.0616%30 Apr →
mirage19–220.1623%24 Apr →
mirage8–130.0123%21 Apr →
nuke13–70.1122%11 Apr →
nuke13–80.0519%6 Apr →
nuke13–110.0421%2 Apr →
overpass13–70.0914%13 Mar →
overpass13–100.0417%23 Feb →
mirage13–80.0818%15 Feb →
dust25–130.0038%2 Feb →
dust23–130.0016%25 Jan →
anubis13–70.0621%24 Jan →
train8–130.0126%10 Jan →
nuke5–13-0.0321%10 Jan →
nuke13–50.0312%24 Dec →
nuke13–50.1719%9 Dec →
mirage7–130.0124%26 Nov →
ancient13–50.0240%2 Jul →
dust213–20.0823%30 Jun →
inferno13–20.1031%9 Mar →
anubis13–100.0327%3 Mar →
mirage13–110.0623%3 Mar →
dust210–130.0020%3 Mar →
anubis7–13-0.0313%27 Feb →
ancient13–110.0413%27 Feb →
train9–13-0.0017%25 Feb →
dust27–130.0618%24 Feb →
anubis13–80.0523%23 Feb →
nuke13–110.0528%22 Feb →
anubis11–130.0322%18 Feb →
dust210–13-0.0223%12 Feb →
dust213–80.0527%10 Feb →
train13–100.1322%9 Feb →
dust213–80.0920%8 Feb →
mirage16–140.0621%8 Feb →
train8–130.0227%8 Feb →
anubis11–130.0334%7 Feb →
mirage13–40.0520%6 Feb →
ancient13–60.1122%6 Feb →
train13–60.1133%6 Feb →
dust213–90.0628%5 Feb →
train13–100.0520%2 Feb →
dust213–90.0125%2 Feb →
nuke13–80.0621%1 Feb →
dust29–130.0223%30 Jan →
train13–110.0119%30 Jan →
inferno13–20.2328%28 Jan →
train8–130.1025%28 Jan →
nuke10–13-0.0227%27 Jan →
nuke10–13-0.0313%25 Jan →
nuke5–130.0425%24 Jan →
nuke13–90.0523%23 Jan →
dust213–30.0718%23 Jan →
mirage14–160.0316%20 Jan →
dust213–30.0325%20 Jan →
anubis13–60.0734%20 Jan →
dust213–30.1522%20 Jan →
anubis11–130.0920%18 Jan →
mirage13–60.1222%15 Jan →
nuke13–110.1015%15 Jan →
ancient13–10.0724%12 Jan →
mirage4–13-0.0915%6 Jan →
dust25–13-0.036%5 Jan →
inferno13–10.1012%5 Jan →
mirage19–220.0926%5 Jan →
mirage22–200.0823%1 Jan →
dust213–90.0218%1 Jan →
dust213–70.0313%31 Dec →
dust213–100.0724%30 Dec →
mirage7–130.0215%29 Dec →
train5–13-0.0626%29 Dec →
dust213–90.0924%28 Dec →
inferno11–13-0.0119%22 Dec →
inferno13–50.0823%17 Dec →
nuke16–120.1025%17 Dec →
inferno13–70.1114%17 Dec →
mirage13–80.0920%16 Dec →
anubis13–110.0424%28 Oct →
ancient13–50.0120%22 Oct →
mirage8–130.0912%8 Oct →
mirage7–130.0515%25 Aug →
dust211–13-0.0419%5 May →
anubis13–90.0419%6 Apr →
ancient5–13-0.0523%6 Apr →
mirage13–9-0.0219%6 Apr →
mirage5–13-0.0328%5 Apr →
anubis13–50.0329%5 Apr →
inferno13–110.0928%5 Apr →
anubis13–80.1316%4 Apr →
ancient8–13-0.0317%4 Apr →
ancient13–90.0716%3 Apr →
mirage13–70.0930%1 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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