The sword General

The sword General — CS2 Stats

76561198788256413[U:1:827990685]Steam profile ↗✓ No bans

456Tracked matches30%Win rate2026Tracked since
300Hours in CS
CSDB Rating4.2 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

+158Tracked matches · now 456
−12.9ppWin rate · 42.9% → 30.0%

Rating over time

57Days played since 2026-05-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.1%43.8%44.8%meets
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio0.841.021.030.19 short
Match win rate41.7%44.7%45.2%3.5% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGThe sword GeneralFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning41
Utility51

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLLLLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −3.6pp headshot accuracy · +33ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 488ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 542ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 525ms

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 (+2 against its own average).

Aim5.4
Utility5.1
Positioning4.1
Opening Duels0.0
Clutch3.2

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

iM

Plays most like iM 78% 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

Areas to improve

CT openings. Opening success drops from 45% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 561ms 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

Aim5.4
Positioning4.1
Utility5.1
Mechanics5.2
Opening Duels1.8
Win Impact0.0

Composite 4.2/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time532ms−147ms
first ⅓ avg 679ms → last ⅓ avg 532ms
Headshot accuracy16.3%+1.7%
first ⅓ avg 14.6% → last ⅓ avg 16.3%

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

0.19Best match rating · 9–4 · poseidon, 14 Aug →
43%Best headshot accuracy · 7–13 · office, 29 Oct →
16msFastest reaction time · 3–2 · office, 17 Oct →
13–0Biggest win · dust2, 7 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L6Current streak
7–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 46% over 41nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B4119–2246%-0.03
anubisB115–645%-0.04
mirageB115–645%-0.04
infernoD103–730%-0.02
nukeD92–722%-0.02
ancientC73–443%-0.04
office—40–40%-0.04
cache—21–150%-0.00
italy—10–10%-0.08
vertigo—10–10%-0.04
poseidon—11–0100%0.19
boulder—11–0100%-0.09
overpass—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,986Lifetime kills
0.84K/D
923Matches
41.7%Match win rate
44.1%Headshot % · Top 50% of Level 5 players
0.0%Shot accuracy
2,254MVPs
300Hours (in match)
761Bombs planted
174Bombs defused

Most-used weapons

AK-474,143
Negev1,014
MP7675
Knife357
AWP229
MP9228

Lifetime map wins

3,298dust2
841inferno
561nuke
132vertigo
64office
52italy
10train

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

Faceit stats

Combat

379Matches
49%Win rate
0.87Avg K/D
72.1ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust210851%0.9013.9
Anubis7762%0.8613.5
Mirage6239%0.8913.4
Inferno5349%0.8412.8
Nuke3642%0.8113.0
Ancient2236%0.8313.4
Cache1644%0.8613.5
Overpass367%0.8715.3

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.

18.2%Headshot accuracy
30.3%Accuracy (enemy spotted)
30.2%Spray accuracy
73.5%Counter-strafing
10.5°Preaim
561msReaction time
44.7%T opening success
27.9%CT opening success
0.48Enemies flashed / flash
7.2%Flash assists
12.42HE damage / grenade
6.94Flashes / 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. 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 0.4755 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.8645% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0911%3 Nov →
inferno4–13-0.0112%31 Oct →
dust20–5-0.080%29 Oct →
nuke1–3-0.040%29 Oct →
office7–13-0.0943%29 Oct →
italy0–13-0.088%29 Oct →
mirage13–7-0.0120%28 Oct →
dust211–13-0.0214%27 Oct →
ancient8–13-0.047%26 Oct →
cache13–110.0115%26 Oct →
vertigo7–13-0.0419%25 Oct →
nuke8–130.019%25 Oct →
dust29–13-0.0421%24 Oct →
nuke8–13-0.0726%24 Oct →
inferno6–13-0.0524%24 Oct →
dust29–130.0416%23 Oct →
nuke13–50.0318%20 Oct →
ancient13–10-0.0318%20 Oct →
dust213–30.0116%20 Oct →
office3–2-0.030%17 Oct →
dust213–6-0.0312%17 Oct →
inferno13–70.0118%16 Oct →
dust25–13-0.0423%16 Oct →
ancient13–100.0121%15 Oct →
ancient3–13-0.0825%15 Oct →
anubis6–13-0.0510%15 Oct →
dust213–5-0.0728%12 Oct →
inferno3–13-0.0819%9 Oct →
mirage14–16-0.0326%27 Sept →
mirage4–13-0.0219%9 Sept →
inferno11–13-0.0517%9 Sept →
office9–13-0.0512%7 Sept →
anubis13–110.0112%4 Sept →
anubis13–80.0112%1 Sept →
mirage8–13-0.059%31 Aug →
dust27–130.0117%29 Aug →
poseidon9–40.1920%14 Aug →
inferno7–130.0413%11 Aug →
dust213–5-0.0019%11 Aug →
dust210–30.006%11 Aug →
dust23–13-0.089%11 Aug →
mirage13–11-0.0414%10 Aug →
dust213–70.0120%9 Aug →
dust213–11-0.0724%9 Aug →
anubis6–13-0.0416%8 Aug →
dust212–12-0.0817%7 Aug →
mirage7–13-0.0513%7 Aug →
nuke4–13-0.0110%6 Aug →
dust215–15-0.0416%5 Aug →
dust24–0-0.0127%5 Aug →
anubis9–13-0.0612%3 Aug →
ancient2–13-0.0410%3 Aug →
boulder13–10-0.0915%3 Aug →
dust213–11-0.055%3 Aug →
dust24–13-0.0112%3 Aug →
nuke3–130.016%1 Aug →
inferno13–10-0.0214%30 Jul →
dust20–13-0.097%29 Jul →
dust213–110.0512%29 Jul →
dust29–13-0.0517%29 Jul →
anubis13–80.0217%28 Jul →
nuke11–13-0.0718%28 Jul →
dust25–13-0.3014%27 Jul →
ancient9–13-0.038%25 Jul →
anubis13–2-0.0717%20 Jul →
dust26–13-0.1512%20 Jul →
mirage13–3-0.1028%20 Jul →
anubis9–13-0.074%13 Jul →
overpass13–40.0114%13 Jul →
inferno8–130.0419%13 Jul →
anubis6–13-0.039%13 Jul →
dust28–13-0.0117%12 Jul →
inferno13–1-0.0412%10 Jul →
dust213–100.019%10 Jul →
dust213–11-0.0811%10 Jul →
dust29–130.0615%9 Jul →
dust27–130.059%9 Jul →
anubis13–9-0.0412%7 Jul →
nuke13–80.0124%1 Jul →
nuke10–13-0.0212%20 Jun →
mirage13–2-0.0414%20 Jun →
ancient13–9-0.0414%20 Jun →
dust213–10.037%20 Jun →
inferno5–13-0.0713%10 Jun →
dust213–3-0.0219%7 Jun →
dust213–00.0242%7 Jun →
dust213–90.0014%6 Jun →
dust24–11-0.0129%5 Jun →
office1–130.0110%28 May →
mirage6–13-0.0422%27 May →
dust25–130.0114%25 May →
dust213–10-0.068%23 May →
dust211–13-0.179%23 May →
dust213–10-0.0114%21 May →
dust25–13-0.0110%21 May →
mirage12–12-0.026%19 May →
mirage13–10-0.0413%17 May →
dust22–13-0.0924%16 May →
dust213–90.0223%16 May →
cache6–13-0.0213%16 May →

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 →

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