Syntax^Error

Syntax^Error — CS2 Stats

SE76561198117619915[U:1:157354187]Steam profile ↗✓ No bans

736Tracked matches50%Win rate2020Tracked since
4,813Hours in CS42Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating20,000Top 50% of 204,793 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#80842 of 252028 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 20,000 -122 30 Sept – 14 Oct · 2 days played
20,00020,122peak 20,12230 Sept14 Oct
20,122Peak Premier in tracked matches
22Days played since 2026-09-21

Premier CS Rating

  • 122 below peak (20,122)
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 6 among CSDB-tracked players (n=13,110), 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 6 medianLevel 7 medianvs Level 7
Headshot rate46.6%44.8%45.7%meets
Shot accuracy11.5%12.4%12.7%1.2% short
Kill/death ratio0.981.031.050.08 short
Match win rate42.2%45.2%45.7%3.5% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSyntax^ErrorFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER20,000 · Pink bandcsdb.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

Aim72
Positioning71
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLLLWLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · +100ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 581ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 531ms

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 (+1.4 against its own average).

Aim7.2
Utility6.2
Positioning7.1
Opening Duels3.7
Clutch5.6

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 44% on CT — first contacts on the defending side are being lost.

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

Aim7.2
Positioning7.1
Utility6.2
Mechanics5.9
Opening Duels6.1
Win Impact5.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time536ms+26ms
first ⅓ avg 509ms → last ⅓ avg 536ms
Headshot accuracy14.9%+0.4%
first ⅓ avg 14.5% → last ⅓ avg 14.9%

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

0.14Best match rating · 13–2 · cache, 30 Sept →
36%Best headshot accuracy · 9–7 · inferno, 5 Oct →
328msFastest reaction time · 13–9 · nuke, 30 Sept →
13–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L3Current streak
15–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 67% over 15nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
cacheS2013–765%0.02
infernoS1510–567%0.00
mirageB147–750%0.02
nukeC135–838%-0.00
anubisC125–742%0.01
dust2S128–467%-0.02
ancientB63–350%-0.01
overpassC52–340%-0.00
vertigo—30–30%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,960Lifetime kills
0.98K/D
5,969Matches
42.2%Match win rate
46.6%Headshot % · Top 50% of Level 6 players
11.5%Shot accuracy
22,450MVPs
5,666Hours (in match)
2,660Bombs planted
1,154Bombs defused

Most-used weapons

AK-4731,273
AWP13,433
Knife4,741
P2501,943
SSG 081,688
FAMAS1,087

Lifetime map wins

7,249dust2
4,570inferno
3,662nuke
703train
500cbble
314vertigo
258dust
93aztec

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

Faceit stats

Combat

144Matches
53%Win rate
1.18Avg K/D
90.6ADR
40%Headshot %

Clutches & streaks

48%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21450%1.2216.6
Cache978%1.4719.1
Anubis850%1.2019.1
Mirage743%1.5520.3
Inferno580%1.0613.4
Ancient333%1.0821.3
Nuke367%1.5414.3

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.

14.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.4%Spray accuracy
76.7%Counter-strafing
8.4°Preaim
542msReaction time
64.8%T opening success
44.0%CT opening success
0.62Enemies flashed / flash
10.2%Flash assists
5.99HE damage / grenade
9.72Flashes / 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 14.7074% — below the 15% mark we flag

    Aim Training →
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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–130.0516%14 Oct →
cache8–130.0315%14 Oct →
mirage10–13-0.097%13 Oct →
cache13–110.0415%13 Oct →
cache7–13-0.048%11 Oct →
nuke13–5-0.0110%11 Oct →
inferno13–100.0412%11 Oct →
mirage13–50.0211%10 Oct →
mirage13–70.0517%10 Oct →
cache13–90.0114%10 Oct →
anubis13–8-0.0210%10 Oct →
cache19–160.0028%9 Oct →
inferno3–13-0.0415%9 Oct →
cache13–6-0.059%8 Oct →
nuke8–13-0.0110%8 Oct →
dust211–130.0214%8 Oct →
inferno9–130.0310%8 Oct →
cache13–9-0.0310%7 Oct →
nuke9–13-0.0118%7 Oct →
anubis14–160.0712%6 Oct →
overpass9–13-0.0215%6 Oct →
mirage17–19-0.0415%6 Oct →
cache13–70.0314%6 Oct →
cache13–110.0312%5 Oct →
dust213–110.0211%5 Oct →
inferno16–130.0422%5 Oct →
cache13–80.0213%5 Oct →
anubis11–13-0.0320%5 Oct →
dust210–13-0.0531%5 Oct →
inferno9–7-0.0236%5 Oct →
mirage10–130.0518%4 Oct →
dust222–20-0.0212%4 Oct →
anubis16–140.0414%4 Oct →
mirage13–50.1118%4 Oct →
overpass13–11-0.0310%4 Oct →
nuke16–14-0.046%3 Oct →
cache7–130.0114%3 Oct →
mirage13–9-0.0113%3 Oct →
dust213–9-0.0117%3 Oct →
mirage13–10.1226%3 Oct →
inferno16–130.0217%3 Oct →
dust213–70.0319%2 Oct →
nuke19–16-0.0216%2 Oct →
cache13–80.0119%2 Oct →
mirage13–40.0521%2 Oct →
anubis13–4-0.0011%2 Oct →
anubis10–130.0516%2 Oct →
vertigo11–13-0.0627%2 Oct →
inferno13–110.0412%2 Oct →
cache10–130.0817%2 Oct →
ancient9–13-0.0111%2 Oct →
ancient4–13-0.0610%1 Oct →
inferno13–50.0614%1 Oct →
anubis17–190.0110%1 Oct →
cache13–50.0118%1 Oct →
cache13–20.1421%30 Sept →
nuke13–9-0.067%30 Sept →
mirage8–13-0.0723%30 Sept →
overpass13–80.0616%30 Sept →
anubis4–130.0423%29 Sept →
nuke10–13-0.0326%29 Sept →
overpass3–13-0.0821%29 Sept →
vertigo4–13-0.097%29 Sept →
ancient14–16-0.049%28 Sept →
inferno13–10-0.056%28 Sept →
dust26–13-0.0832%28 Sept →
ancient13–50.0112%28 Sept →
inferno13–11-0.0217%28 Sept →
nuke13–30.1010%26 Sept →
mirage13–70.0423%26 Sept →
inferno8–13-0.057%25 Sept →
anubis16–140.0210%25 Sept →
ancient13–11-0.0216%25 Sept →
nuke6–130.0812%24 Sept →
ancient13–20.0914%24 Sept →
mirage0–20.000%24 Sept →
dust213–10-0.0824%24 Sept →
mirage7–13-0.015%24 Sept →
inferno28–260.0016%24 Sept →
cache13–110.0122%24 Sept →
cache13–50.0815%23 Sept →
anubis8–13-0.0012%23 Sept →
dust213–8-0.0016%23 Sept →
inferno13–3-0.0319%23 Sept →
cache10–13-0.0211%23 Sept →
anubis16–14-0.0015%23 Sept →
overpass8–130.0513%22 Sept →
dust213–6-0.0730%22 Sept →
nuke10–13-0.0617%22 Sept →
inferno9–130.079%22 Sept →
dust213–100.0417%22 Sept →
mirage9–130.0111%22 Sept →
anubis11–13-0.0118%22 Sept →
cache9–130.0222%22 Sept →
vertigo10–130.0422%22 Sept →
inferno5–10-0.0613%21 Sept →
cache11–130.0110%21 Sept →
dust25–13-0.035%21 Sept →
nuke5–13-0.1014%21 Sept →
nuke9–130.0615%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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