Surja

Surja — CS2 Stats

NZ76561198042070233[U:1:81804505]Steam profile ↗✓ No bans

333Tracked matches35%Win rate2023Tracked since
400Hours in CS1Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,955 +857 2 Aug – 24 Aug · 7 days played
7,1418,955peak 8,9552 Aug24 Aug
8,955Peak Premier in tracked matches
53Days played since 2025-07-13

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.4%42.7%43.7%4.3% short
Shot accuracy10.0%11.3%12.0%2.1% short
Kill/death ratio0.990.991.020.02 short
Match win rate38.9%43.9%44.7%5.8% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSurjaFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim58
Positioning41
Utility16

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLTWLWTLLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.6pp headshot accuracy · −135ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 489ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 492ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 559ms

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 (+2.4 against its own average).

Aim5.8
Utility1.6
Positioning4.1
Opening Duels1.1
Clutch0.0

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

donk

Plays most like donk 90% playstyle similarity

Most alike: aim profile, positioning profile.

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

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. 594ms 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

Aim5.8
Positioning4.1
Utility1.6
Mechanics5.4
Opening Duels2.1
Win Impact0.0

Composite 3.8/10 (Learning), 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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time599ms−57ms
first ⅓ avg 656ms → last ⅓ avg 599ms
Headshot accuracy12.0%−4.2%
first ⅓ avg 16.2% → last ⅓ avg 12.0%

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

0.10Best match rating · 13–2 · ancient, 11 Aug →
26%Best headshot accuracy · 8–13 · agency, 13 Jul →
406msFastest reaction time · 1–13 · ancient, 6 Aug →
13–1Biggest win · palacio, 4 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 67% over 12mirageWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB1910–953%-0.03
ancientC146–843%-0.03
mirageD142–1214%-0.04
infernoS128–467%-0.01
dust2B115–645%-0.02
overpassA117–464%-0.02
trainD51–420%-0.02
cache—42–250%-0.09
anubis—31–233%-0.02
agency—31–233%-0.04
golden—10–10%0.02
palacio—11–0100%0.07
grail—11–0100%-0.03
office—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,198Lifetime kills
0.99K/D
917Matches
38.9%Match win rate
39.4%Headshot %
10.0%Shot accuracy
1,423MVPs
253Hours (in match)
371Bombs planted
132Bombs defused

Most-used weapons

Lifetime map wins

1,004inferno
860dust2
821nuke
231vertigo
209train
145italy
111cbble
102office

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

Faceit stats

Combat

17Matches
53%Win rate
0.76Avg K/D
71.5ADR
46%Headshot %

Clutches & streaks

20%1v1 clutch win
7%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient540%0.9011.6
Nuke450%0.8014.8
Overpass250%0.467.0
Dust22100%0.9416.5
Inferno2100%0.689.5
Mirage20%0.548.0

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.

12.5%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.8%Spray accuracy
74.4%Counter-strafing
9.6°Preaim
594msReaction time
31.7%T opening success
45.0%CT opening success
0.19Enemies flashed / flash
0.6%Flash assists
4.94HE damage / grenade
0.82Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.4832% — below the 15% mark we flag

    Aim Training →
  2. 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 0.1935 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.6531% — below the 40% mark we flag

Spend your practice time on Mirage

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

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0913%2 Oct →
cache12–12-0.0813%1 Oct →
cache13–5-0.0917%25 Sept →
dust25–13-0.0615%25 Sept →
ancient4–1-0.040%24 Sept →
train12–12-0.0314%23 Sept →
train5–13-0.1016%22 Sept →
inferno6–13-0.070%22 Sept →
nuke9–13-0.0212%5 Sept →
anubis13–11-0.0012%12 Aug →
cache13–11-0.108%29 Jul →
cache6–13-0.1021%28 Apr →
inferno11–13-0.0625%12 Apr →
nuke13–8-0.0610%12 Apr →
nuke4–10-0.065%19 Feb →
dust21–130.0414%19 Feb →
nuke10–13-0.0610%7 Feb →
overpass6–13-0.0712%6 Feb →
mirage2–13-0.0526%5 Feb →
inferno16–13-0.0416%3 Feb →
anubis15–15-0.0914%1 Feb →
nuke14–16-0.0311%30 Jan →
overpass13–9-0.046%27 Jan →
dust213–10-0.0510%1 Jan →
ancient11–13-0.0618%5 Oct →
golden12–120.0215%4 Oct →
palacio13–10.075%4 Oct →
agency3–13-0.0613%13 Sept →
nuke8–13-0.100%24 Aug →
train7–13-0.0514%24 Aug →
inferno13–90.0315%24 Aug →
mirage12–16-0.0411%23 Aug →
ancient8–13-0.069%23 Aug →
nuke13–8-0.084%21 Aug →
inferno13–60.026%21 Aug →
ancient13–100.0113%20 Aug →
mirage13–40.029%20 Aug →
mirage11–13-0.0013%19 Aug →
grail13–5-0.0320%19 Aug →
nuke13–110.0311%12 Aug →
inferno13–4-0.046%12 Aug →
ancient13–10-0.0615%11 Aug →
ancient13–20.1011%11 Aug →
mirage1–13-0.0213%11 Aug →
mirage4–13-0.0810%9 Aug →
nuke11–13-0.106%8 Aug →
nuke8–130.0212%7 Aug →
ancient6–13-0.0113%7 Aug →
dust216–130.029%6 Aug →
ancient1–13-0.077%6 Aug →
inferno13–6-0.0124%5 Aug →
overpass5–13-0.056%5 Aug →
dust27–13-0.023%3 Aug →
nuke4–13-0.0515%3 Aug →
ancient9–13-0.0313%3 Aug →
overpass13–50.0219%3 Aug →
ancient16–13-0.0115%2 Aug →
mirage7–13-0.035%2 Aug →
mirage13–8-0.0315%2 Aug →
overpass9–0-0.039%2 Aug →
nuke13–60.0114%2 Aug →
nuke13–60.0213%2 Aug →
overpass12–16-0.0015%2 Aug →
nuke13–40.0511%2 Aug →
inferno13–70.056%1 Aug →
train10–130.059%1 Aug →
nuke13–7-0.0211%1 Aug →
overpass10–00.086%1 Aug →
mirage9–13-0.0015%31 Jul →
nuke13–7-0.0114%31 Jul →
nuke13–11-0.0121%27 Jul →
dust213–80.0121%27 Jul →
inferno11–130.0421%27 Jul →
inferno13–50.0121%27 Jul →
overpass10–13-0.0314%26 Jul →
mirage11–13-0.147%26 Jul →
train13–40.0424%26 Jul →
dust211–1-0.0617%26 Jul →
nuke16–14-0.0418%26 Jul →
overpass13–11-0.0424%25 Jul →
mirage7–13-0.0914%24 Jul →
mirage1–13-0.068%24 Jul →
dust24–13-0.0219%23 Jul →
dust212–12-0.0018%22 Jul →
dust212–3-0.0219%21 Jul →
mirage4–13-0.035%21 Jul →
ancient13–4-0.0318%21 Jul →
office9–13-0.0225%20 Jul →
agency13–40.003%20 Jul →
dust211–13-0.0223%18 Jul →
overpass13–11-0.079%18 Jul →
ancient1–13-0.0723%17 Jul →
inferno13–110.0220%16 Jul →
overpass13–40.0213%16 Jul →
ancient8–13-0.0114%15 Jul →
mirage10–13-0.0115%15 Jul →
anubis2–130.0211%14 Jul →
inferno3–13-0.0412%14 Jul →
nuke4–13-0.0417%14 Jul →
agency8–13-0.0626%13 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.