XvW

XvW — CS2 Stats

SE76561198299268174[U:1:339002446]Steam profile ↗✓ No bans

1,385Tracked matches44%Win rate2020Tracked since
4,421Hours in CS6Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating19,113Top 50% of 213,399 CSDB-tracked playersPurple band · top ~12% of ranked players (population est.)
CSDB Leaderboard#97886 of 259998 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (12 days ago). 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: 19,113 -4,245 5 Apr – 24 Oct · 16 days played
18,44025,554peak 25,5545 Apr24 Oct
25,554Peak Premier in tracked matches
52Days played since 2026-04-02

Premier CS Rating

  • 6,441 below peak (25,554)
  • -529 over 30 days · declining
  • +558 over 90 days
  • Next: Pink band at 20,000 — 887 to go
  • Reached: Red band · Pink band · Purple band · 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 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 rate43.6%44.4%46.9%3.3% short
Shot accuracy13.6%11.9%13.0%above
Kill/death ratio1.161.031.08above
Match win rate44.3%45.2%46.7%2.3% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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.GGXvWPREMIER19,113 · Purple 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

Aim81
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

COLD50–42–8Last 10050%Win rateTLWTLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −6.9pp headshot accuracy · +38ms reaction

Win rate down 30pp 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

  • 1–2–2 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 545ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 551ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 532ms

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).

Aim8.1
Utility6.0
Positioning6.2
Opening Duels5.1
Clutch2.0

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

m0NESY

Plays most like m0NESY 93% 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 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim8.1
Positioning6.2
Utility6.0
Mechanics5.2
Opening Duels4.5
Win Impact3.1

Composite 6.1/10 (Solid), 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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time581ms−49ms
first ⅓ avg 630ms → last ⅓ avg 581ms
Headshot accuracy24.1%+1.0%
first ⅓ avg 23.1% → last ⅓ avg 24.1%

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

0.28Best match rating · 9–0 · poseidon, 1 Aug →
55%Best headshot accuracy · 1–9 · inferno, 1 Aug →
391msFastest reaction time · 12–12 · mirage, 29 Aug →
13–1Biggest win · boulder, 27 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 56% over 9dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%0.04
cacheB1910–953%0.02
nukeB105–550%0.02
ancientC94–544%-0.00
infernoA95–456%0.02
dust2C83–538%0.00
vertigoB63–350%0.05
anubisC52–340%-0.01
poseidon—31–233%0.06
overpass—32–167%0.04
boulder—11–0100%0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

115,104Lifetime kills
1.16K/D · Top 25% of Purple band
5,403Matches
44.3%Match win rate
43.6%Headshot %
13.6%Shot accuracy · Top 50% of Purple band
14,060MVPs
2,695Hours (in match)
4,717Bombs planted
1,806Bombs defused

Most-used weapons

AK-4734,950
AWP18,359
MP92,695
MAC-102,383
AUG2,171
SG 5532,152

Lifetime map wins

5,494vertigo
5,411inferno
4,379dust2
2,392nuke
1,582train
356cbble
152office
123lake

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

Faceit stats

Combat

128Matches
55%Win rate
1.25Avg K/D
68.7ADR
41%Headshot %

Clutches & streaks

30%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.8612.0
Anubis2100%1.4617.5
Nuke1100%1.4413.0
Inferno1100%1.0426.0
Overpass10%0.6712.0
Ancient1100%0.8016.0

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.

23.5%Headshot accuracy
36.8%Accuracy (enemy spotted)
42.9%Spray accuracy
73.2%Counter-strafing
9.1°Preaim
571msReaction time
39.2%T opening success
56.4%CT opening success
0.55Enemies flashed / flash
7.1%Flash assists
13.22HE damage / grenade
8.80Flashes / 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 39.2292% — below the 40% mark we flag

Spend your practice time on Dust 2

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 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–120.0414%26 Oct →
mirage13–16-0.0215%24 Oct →
mirage13–110.0818%22 Oct →
cache12–120.1319%22 Oct →
dust26–130.0221%16 Oct →
dust28–130.0524%16 Oct →
mirage10–130.0414%4 Oct →
dust21–130.0225%29 Sept →
cache13–10-0.0114%26 Sept →
ancient7–13-0.0518%26 Sept →
mirage13–20.0417%26 Sept →
vertigo10–130.0424%24 Sept →
cache13–10-0.0323%4 Sept →
mirage13–40.1022%4 Sept →
mirage12–120.1431%29 Aug →
mirage4–130.0830%22 Aug →
inferno5–13-0.0219%11 Aug →
cache9–130.0826%9 Aug →
mirage13–40.0633%8 Aug →
cache16–12-0.0324%8 Aug →
nuke13–70.0216%8 Aug →
nuke13–110.0848%8 Aug →
anubis13–40.0526%7 Aug →
ancient7–13-0.0138%7 Aug →
dust214–160.0633%6 Aug →
dust213–10-0.1011%2 Aug →
ancient7–13-0.0527%2 Aug →
nuke7–130.0721%1 Aug →
mirage11–13-0.0331%1 Aug →
poseidon9–00.2831%1 Aug →
poseidon8–8-0.0416%1 Aug →
inferno1–9-0.1155%1 Aug →
inferno6–9-0.0012%1 Aug →
boulder13–10.1225%27 Jul →
cache16–140.0844%26 Jul →
nuke11–130.0617%26 Jul →
poseidon4–9-0.0532%26 Jul →
vertigo0–9-0.100%26 Jul →
inferno9–20.2335%26 Jul →
ancient13–6-0.0128%24 Jul →
anubis9–13-0.0136%23 Jul →
cache9–130.0134%23 Jul →
nuke8–130.0237%22 Jul →
vertigo13–60.1535%19 Jul →
cache2–13-0.0617%18 Jul →
anubis9–13-0.0624%18 Jul →
inferno13–80.0627%17 Jul →
dust213–50.0426%16 Jul →
mirage6–130.0933%14 Jul →
mirage6–130.0018%13 Jul →
overpass6–13-0.0324%1 Jul →
dust215–15-0.0119%1 Jul →
cache13–9-0.0117%23 Jun →
vertigo13–110.1016%21 Jun →
mirage1–60.0342%21 Jun →
mirage12–120.0226%21 Jun →
ancient13–40.1032%19 Jun →
ancient11–13-0.0437%19 Jun →
vertigo11–130.0622%12 Jun →
mirage13–70.1117%7 Jun →
nuke13–30.0331%2 Jun →
mirage9–130.1010%22 May →
nuke13–80.0326%22 May →
mirage13–20.1924%22 May →
anubis7–13-0.0641%18 May →
dust213–11-0.0524%18 May →
overpass13–70.1020%18 May →
cache9–130.0229%11 May →
nuke6–90.0429%10 May →
ancient13–70.0711%3 May →
cache12–120.0117%1 May →
cache9–13-0.0134%1 May →
cache13–20.0637%30 Apr →
cache13–9-0.0320%30 Apr →
cache13–80.0325%30 Apr →
cache13–50.0729%29 Apr →
cache13–5-0.0218%29 Apr →
cache12–120.0223%29 Apr →
mirage13–70.0613%25 Apr →
ancient16–13-0.0121%25 Apr →
mirage6–13-0.0315%25 Apr →
nuke13–7-0.0624%24 Apr →
mirage13–60.0622%22 Apr →
mirage9–13-0.0342%22 Apr →
inferno9–130.0217%18 Apr →
mirage13–2-0.0329%18 Apr →
anubis13–20.0312%18 Apr →
mirage13–90.0321%18 Apr →
inferno13–40.0011%18 Apr →
ancient8–13-0.0120%18 Apr →
inferno13–6-0.0136%6 Apr →
mirage7–13-0.0619%6 Apr →
nuke8–13-0.0530%5 Apr →
mirage13–11-0.0222%5 Apr →
overpass13–30.0632%5 Apr →
inferno13–40.0012%5 Apr →
mirage13–110.0119%5 Apr →
vertigo13–40.0333%3 Apr →
mirage6–10.0717%3 Apr →
mirage13–100.0523%2 Apr →

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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