wrapthisshitup

wrapthisshitup — CS2 Stats

DE76561198307481932[U:1:347216204]Steam profile ↗✓ No bans

1,292Tracked matches38%Win rate2020Tracked since
2,690Hours in CS
CSDB Rating4.2 DevelopingSupport
FaceitLevel 7 · 1,178 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,178 → 1,178
+10Tracked matches · now 1,292
−13.8ppWin rate · 51.7% → 37.9%

Rating over time

Premier CS Rating: 20,734 -75 22 Feb – 8 Jun · 18 days played
18,47520,809peak 20,80922 Feb8 Jun
Faceit ELO: 1,178 +0 29 Aug – 23 Sept · 3 observations
1,1781,178peak 1,17829 Aug23 Sept
20,809Peak Premier in tracked matches
1,178Highest Faceit ELO seen on CSDB
39Days played since 2026-02-21

Faceit ELO

  • At peak — 1,178
  • 0 over 30 days · steady
  • Next: Level 6 at 1,201 — 23 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-29
  • Level 4 first seen 2026-08-29

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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate45.6%45.7%46.8%1.2% short
Shot accuracy12.7%12.7%13.0%0.3% short
Kill/death ratio0.771.051.060.29 short
Match win rate38.0%45.7%46.3%8.3% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGwrapthisshitupFACEITLevel 7 · 1,178 ELOSTANDINGTop 42.3% of ranked30 DAYS0 ELOPEAK ELO1,178csdb.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

Aim71
Positioning42
Utility49

0–100 skill scores via Leetify.

Recent form

COLD52–45–3Last 10052%Win rateLLLLLLLWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +5.0pp headshot accuracy · +30ms 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 -0.04
  • Avg headshot accuracy 28%
  • Avg reaction 506ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 504ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 25%
  • Avg reaction 489ms

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 (+1.5 against its own average).

Aim7.1
Utility4.9
Positioning4.2
Opening Duels0.4
Clutch4.0

Limited 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

ropz

Plays most like ropz 86% 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 →

CSDB Rating breakdown

Aim7.1
Positioning4.2
Utility4.9
Mechanics5.3
Opening Duels1.0
Win Impact1.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time520ms−52ms
first ⅓ avg 572ms → last ⅓ avg 520ms
Headshot accuracy24.9%+4.0%
first ⅓ avg 20.9% → last ⅓ avg 24.9%

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

0.06Best match rating · 13–8 · ancient, 7 Mar →
69%Best headshot accuracy · 4–13 · mirage, 13 Oct →
344msFastest reaction time · 1–13 · ancient, 22 Aug →
13–2Biggest win · cache, 29 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L7Current streak
13–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 70% over 20mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%-0.02
infernoS2014–670%-0.03
ancientD196–1332%-0.02
anubisS1510–567%-0.02
cacheA85–363%-0.01
mirageD72–529%-0.04
overpass—31–233%-0.02
nuke—21–150%-0.02
vertigo—10–10%-0.01
office—10–10%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,933Lifetime kills
0.77K/D
5,258Matches
38.0%Match win rate
45.6%Headshot %
12.7%Shot accuracy
8,295MVPs
2,690Hours (in match)
4,421Bombs planted
1,108Bombs defused

Most-used weapons

AK-4735,035
AWP7,668
P901,609
P2501,582
MP91,485

Lifetime map wins

7,966dust2
6,063inferno
1,607vertigo
1,021nuke
703train
563cbble
416office
173lake

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

Faceit stats

Combat

381Matches
53%Win rate
0.88Avg K/D
63.9ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis7358%0.9914.6
Mirage7053%0.8412.9
Inferno6668%0.9213.4
Dust26439%0.8411.9
Vertigo3962%0.7411.4
Ancient3345%0.8812.4
Overpass1050%0.9010.2
Nuke850%1.1616.9

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.

25.0%Headshot accuracy
28.4%Accuracy (enemy spotted)
32.0%Spray accuracy
74.0%Counter-strafing
8.5°Preaim
525msReaction time
37.7%T opening success
25.8%CT opening success
0.65Enemies flashed / flash
18.0%Flash assists
7.60HE damage / grenade
2.58Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5839 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 37.7372% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0814%14 Oct →
cache8–13-0.0318%14 Oct →
dust27–130.0221%13 Oct →
mirage8–13-0.0419%13 Oct →
mirage4–13-0.0969%13 Oct →
ancient4–130.0430%4 Oct →
anubis10–13-0.0733%4 Oct →
cache13–10-0.0326%4 Oct →
cache13–10-0.0121%3 Oct →
mirage12–16-0.0323%27 Sept →
dust26–13-0.0517%22 Sept →
nuke6–13-0.0517%22 Sept →
ancient1–13-0.0929%22 Sept →
ancient1–13-0.0938%22 Aug →
inferno1–13-0.065%21 Aug →
ancient10–13-0.0219%20 Aug →
ancient11–13-0.0133%20 Aug →
cache13–9-0.0219%20 Aug →
anubis13–16-0.0628%15 Aug →
ancient5–13-0.0519%15 Aug →
dust213–30.0533%15 Aug →
inferno15–15-0.0322%15 Aug →
anubis13–6-0.0021%8 Aug →
inferno13–40.0126%8 Aug →
cache10–13-0.0119%8 Aug →
inferno13–7-0.0135%21 Jul →
inferno13–80.0033%21 Jul →
dust213–90.0130%8 Jun →
mirage16–14-0.0520%20 May →
anubis13–11-0.0123%17 May →
ancient6–13-0.0329%15 May →
inferno13–5-0.0417%13 May →
cache9–13-0.0714%13 May →
ancient10–13-0.0227%13 May →
dust213–11-0.0922%13 May →
cache13–20.0622%29 Apr →
cache13–11-0.0124%29 Apr →
dust26–13-0.0519%24 Apr →
inferno13–4-0.0922%24 Apr →
ancient13–110.0129%24 Apr →
dust216–13-0.0035%18 Apr →
nuke16–120.0221%18 Apr →
inferno13–30.0022%16 Apr →
dust215–15-0.0327%16 Apr →
ancient11–13-0.0226%15 Apr →
mirage11–13-0.0626%15 Apr →
ancient16–13-0.0313%12 Apr →
dust213–4-0.0136%12 Apr →
dust26–130.0227%4 Apr →
dust213–11-0.0221%24 Mar →
dust211–13-0.0323%24 Mar →
inferno13–90.0123%8 Mar →
dust213–7-0.0919%8 Mar →
ancient13–6-0.0015%8 Mar →
anubis16–13-0.052%7 Mar →
anubis13–9-0.0421%7 Mar →
ancient13–80.0630%7 Mar →
inferno13–9-0.0421%7 Mar →
ancient7–13-0.0513%6 Mar →
overpass9–13-0.0317%5 Mar →
dust213–90.0324%5 Mar →
vertigo12–12-0.0116%4 Mar →
office6–13-0.1029%4 Mar →
dust213–6-0.0331%4 Mar →
inferno1–13-0.0915%4 Mar →
mirage0–7-0.060%4 Mar →
anubis8–13-0.0318%1 Mar →
anubis2–130.0513%1 Mar →
dust27–13-0.0725%1 Mar →
inferno14–16-0.0117%1 Mar →
dust213–9-0.0312%1 Mar →
mirage16–130.0115%1 Mar →
inferno13–60.0418%1 Mar →
inferno11–13-0.0126%28 Feb →
dust213–8-0.0227%27 Feb →
inferno13–7-0.0614%26 Feb →
inferno2–13-0.0729%26 Feb →
anubis13–4-0.0022%26 Feb →
ancient13–100.0125%25 Feb →
anubis13–8-0.0121%25 Feb →
dust213–8-0.0323%24 Feb →
overpass6–13-0.0322%24 Feb →
dust29–130.0117%24 Feb →
ancient2–13-0.0131%24 Feb →
anubis13–11-0.0330%23 Feb →
ancient6–13-0.0318%23 Feb →
dust23–13-0.0531%23 Feb →
dust29–13-0.0514%23 Feb →
inferno13–8-0.0113%22 Feb →
anubis13–11-0.0026%22 Feb →
anubis13–110.0030%22 Feb →
overpass13–11-0.0019%22 Feb →
ancient16–120.0315%22 Feb →
inferno13–11-0.0024%22 Feb →
dust26–13-0.0417%22 Feb →
inferno16–14-0.0326%21 Feb →
dust213–10-0.017%21 Feb →
anubis13–11-0.0321%21 Feb →
inferno13–9-0.0234%21 Feb →
ancient10–13-0.0910%21 Feb →

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 →

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