Surnas

Surnas — CS2 Stats

UM76561198097154403[U:1:136888675]Steam profile ↗✓ No bans

1,423Tracked matches44%Win rate2020Tracked since
1,719Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating15,844Purple band · top ~25% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,423 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,844 -475 28 Jun – 16 Oct · 30 days played
13,74717,528peak 17,52828 Jun16 Oct
Faceit ELO: 726 +0 28 Aug – 16 Oct · 7 observations
726726peak 72628 Aug16 Oct
17,528Peak Premier in tracked matches
726Highest Faceit ELO seen on CSDB
28Days played since 2026-06-28

Faceit ELO

  • At peak — 726
  • 0 over 30 days · steady
  • Next: Level 3 at 751 — 25 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-28

Premier CS Rating

  • 1,684 below peak (17,528)
  • 0 over 30 days · steady
  • +844 over 90 days
  • Next: Pink band at 20,000 — 4,156 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 16 Oct 2026 and 14 Nov 2026.

Measured 16 Oct 2026 → 14 Nov 2026; previous 18 Sep 2026 → 16 Oct 2026.

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate34.5%44.4%46.9%12.5% short
Shot accuracy10.7%11.9%13.0%2.3% short
Kill/death ratio1.011.031.080.07 short
Match win rate43.9%45.2%46.7%2.8% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGSurnasPREMIER15,844 · Purple band30 DAYS0 ELOPEAK ELO726csdb.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

Aim61
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLWTTWLWTWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −2.8pp headshot accuracy · −90ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 584ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 629ms

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 (+1.2 against its own average).

Aim6.1
Utility5.0
Positioning4.8
Opening Duels2.6
Clutch3.0

Strong CT-side opener

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 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 52% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim6.1
Positioning4.8
Utility5.0
Mechanics6.6
Opening Duels2.7
Win Impact3.0

Composite 5.1/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time642ms+39ms
first ⅓ avg 602ms → last ⅓ avg 642ms
Headshot accuracy15.5%+0.2%
first ⅓ avg 15.3% → last ⅓ avg 15.5%

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

0.12Best match rating · 13–7 · dust2, 12 Jul →
40%Best headshot accuracy · 0–6 · dust2, 8 Aug →
438msFastest reaction time · 13–1 · mirage, 18 Jul →
13–1Biggest win · dust2, 5 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 67% over 18nukeWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
ancientS1812–667%0.00
cacheB178–947%0.00
mirageA169–756%0.01
anubisD155–1033%0.01
dust2B147–750%-0.00
nukeD143–1121%-0.00
infernoD62–433%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,611Lifetime kills
1.01K/D
4,132Matches
43.9%Match win rate
34.5%Headshot %
10.7%Shot accuracy
8,466MVPs
1,719Hours (in match)
5,599Bombs planted
953Bombs defused

Most-used weapons

Lifetime map wins

17,128dust2
3,215inferno
3,203nuke
972vertigo
597train
437office
120cbble
24aztec

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

Faceit stats

Combat

87Matches
43%Win rate
0.99Avg K/D
81.9ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
28%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2446%0.9915.3
Dust22020%1.0316.4
Ancient1471%1.0616.1
Nuke1242%0.8413.6
Inferno540%0.9815.4
Anubis560%1.1719.8
Overpass450%0.9413.8
Vertigo20%0.6110.5

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.

15.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
40.0%Spray accuracy
79.7%Counter-strafing
10.4°Preaim
623msReaction time
18.3%T opening success
51.7%CT opening success
0.58Enemies flashed / flash
6.6%Flash assists
7.42HE damage / grenade
9.43Flashes / 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. 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 18.3384% — below the 40% mark we flag

Spend your practice time on Nuke

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0219%6 Sept →
dust213–10.0623%5 Sept →
nuke15–150.0513%5 Sept →
mirage15–15-0.0112%30 Aug →
mirage13–80.0319%30 Aug →
inferno3–13-0.0320%30 Aug →
anubis13–6-0.0413%30 Aug →
anubis15–150.0310%23 Aug →
cache16–130.045%23 Aug →
mirage13–160.0112%23 Aug →
cache9–13-0.0515%16 Aug →
dust212–12-0.0120%16 Aug →
mirage13–10-0.0522%16 Aug →
ancient6–13-0.0212%16 Aug →
ancient13–70.0120%15 Aug →
anubis3–130.0211%15 Aug →
mirage13–6-0.017%8 Aug →
dust20–6-0.0940%8 Aug →
ancient13–9-0.018%4 Aug →
cache16–140.0218%4 Aug →
mirage7–130.0517%2 Aug →
dust213–20.0922%2 Aug →
anubis7–13-0.0111%2 Aug →
anubis10–130.0214%2 Aug →
nuke8–130.0927%2 Aug →
dust21–13-0.1013%2 Aug →
nuke2–13-0.0312%2 Aug →
cache12–12-0.0419%1 Aug →
dust213–10-0.0111%1 Aug →
anubis8–13-0.0715%1 Aug →
ancient13–4-0.0914%1 Aug →
mirage13–5-0.0117%1 Aug →
ancient13–7-0.014%28 Jul →
cache9–130.0219%28 Jul →
anubis13–11-0.0221%28 Jul →
inferno3–13-0.0318%28 Jul →
nuke13–100.0415%26 Jul →
ancient13–60.0328%26 Jul →
ancient13–4-0.0228%26 Jul →
ancient10–13-0.026%26 Jul →
cache13–11-0.0223%26 Jul →
dust216–140.0215%26 Jul →
nuke4–13-0.0915%26 Jul →
mirage15–150.018%25 Jul →
ancient10–13-0.007%25 Jul →
anubis13–60.099%24 Jul →
cache13–10.0613%22 Jul →
anubis13–160.0513%18 Jul →
mirage13–10.1030%18 Jul →
cache7–13-0.0413%18 Jul →
mirage13–110.0517%17 Jul →
nuke14–160.0012%16 Jul →
ancient13–11-0.0412%16 Jul →
mirage13–11-0.0211%16 Jul →
ancient6–130.0712%14 Jul →
cache13–90.0317%14 Jul →
nuke13–70.0011%14 Jul →
mirage11–13-0.0211%14 Jul →
mirage13–10-0.0213%13 Jul →
dust26–13-0.087%13 Jul →
ancient13–8-0.0118%13 Jul →
anubis13–70.0114%13 Jul →
dust27–130.0213%13 Jul →
cache1–13-0.0811%13 Jul →
cache13–80.1128%12 Jul →
ancient16–120.1118%12 Jul →
nuke12–16-0.017%12 Jul →
cache8–13-0.0820%12 Jul →
mirage11–130.0410%12 Jul →
dust213–40.0310%12 Jul →
dust213–70.1215%12 Jul →
nuke6–13-0.0213%12 Jul →
anubis14–16-0.0113%12 Jul →
ancient13–50.0716%12 Jul →
cache15–15-0.0213%12 Jul →
dust29–13-0.0724%11 Jul →
mirage5–13-0.0316%11 Jul →
cache6–13-0.0211%11 Jul →
ancient4–13-0.039%11 Jul →
cache13–100.0717%11 Jul →
ancient11–13-0.066%11 Jul →
anubis6–130.0228%11 Jul →
cache13–5-0.0319%11 Jul →
anubis5–13-0.0414%10 Jul →
inferno6–130.0220%10 Jul →
mirage13–110.0111%10 Jul →
dust210–13-0.028%9 Jul →
cache9–130.079%9 Jul →
nuke5–130.0223%9 Jul →
inferno13–50.0017%9 Jul →
ancient13–50.0919%9 Jul →
nuke11–130.0614%9 Jul →
nuke6–13-0.0722%5 Jul →
nuke1–13-0.0822%5 Jul →
nuke13–3-0.0316%4 Jul →
anubis13–70.0414%4 Jul →
dust216–140.0012%4 Jul →
ancient13–90.0318%30 Jun →
inferno13–100.0419%28 Jun →
inferno10–13-0.0512%28 Jun →

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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