Awpmeet

Awpmeet — CS2 Stats

76561198114102500[U:1:153836772]Steam profile ↗✓ No bans

920Tracked matches57%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating19,758Top 50% of 212,910 CSDB-tracked playersPurple band · top ~9.5% of ranked players (population est.)
CSDB Leaderboard#89547 of 259623 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+312Premier CS Rating · 19,446 → 19,758

Rating over time

Premier CS Rating: 19,758 +3,325 28 Aug – 3 Nov · 35 days played
15,31219,758peak 19,75828 Aug3 Nov
19,758Peak Premier in tracked matches
31Days played since 2026-08-28

Premier CS Rating

  • At peak — 19,758
  • +687 over 30 days · improving
  • Next: Pink band at 20,000 — 242 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

Share this profile

CSDB.GGAwpmeetFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,758 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning71
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWLWLTLWWWL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · −12ms reaction

Win rate down 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 586ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 575ms

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 (+1.8 against its own average).

Aim6.9
Utility5.4
Positioning7.1
Opening Duels5.4
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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 568ms 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

Aim6.9
Positioning7.1
Utility5.4
Mechanics5.9
Opening Duels6.5
Win Impact7.4

Composite 6.6/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time565ms−35ms
first ⅓ avg 600ms → last ⅓ avg 565ms
Headshot accuracy13.3%−0.9%
first ⅓ avg 14.2% → last ⅓ avg 13.3%

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

0.24Best match rating · 12–12 · inferno, 2 Nov →
31%Best headshot accuracy · 9–13 · nuke, 18 Sept →
438msFastest reaction time · 3–13 · dust2, 31 Oct →
13–1Biggest win · dust2, 16 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–13In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 70% over 10nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3517–1849%0.00
infernoA1911–858%0.01
mirageA116–555%0.00
cacheS107–370%0.01
ancientA95–456%0.03
anubisA95–456%-0.01
nukeD72–529%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
43%Win rate
0.92Avg K/D
73.7ADR
28%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno540%0.7912.8
Mirage250%0.888.0
Anubis250%1.2015.0
Cache250%0.8119.0
Dust210%0.6513.0
Ancient10%0.417.0
Nuke1100%2.0028.0

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.

13.2%Headshot accuracy
35.4%Accuracy (enemy spotted)
41.8%Spray accuracy
76.4%Counter-strafing
9.1°Preaim
568msReaction time
61.1%T opening success
50.8%CT opening success
0.63Enemies flashed / flash
6.2%Flash assists
9.33HE damage / grenade
6.90Flashes / 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 13.1983% — 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.

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.039%3 Nov →
ancient11–13-0.0010%2 Nov →
nuke13–7-0.0313%2 Nov →
dust25–13-0.0416%2 Nov →
inferno12–120.2419%2 Nov →
cache10–130.0215%2 Nov →
mirage13–60.0414%1 Nov →
dust213–40.0316%1 Nov →
inferno13–8-0.0323%1 Nov →
dust24–13-0.0418%1 Nov →
dust213–90.0920%1 Nov →
anubis7–13-0.0010%31 Oct →
ancient13–20.1211%31 Oct →
dust23–13-0.058%31 Oct →
inferno15–15-0.0214%30 Oct →
inferno13–100.0916%30 Oct →
dust213–90.0016%28 Oct →
cache13–5-0.013%28 Oct →
inferno13–70.0213%28 Oct →
mirage13–100.0212%27 Oct →
inferno13–9-0.019%15 Oct →
dust213–110.0124%15 Oct →
ancient13–9-0.0128%14 Oct →
inferno10–13-0.014%14 Oct →
anubis11–13-0.0417%11 Oct →
dust211–13-0.070%11 Oct →
anubis11–13-0.069%11 Oct →
anubis13–80.005%10 Oct →
mirage10–13-0.0012%9 Oct →
dust28–13-0.0112%9 Oct →
nuke11–13-0.0316%9 Oct →
mirage13–30.1013%8 Oct →
cache3–13-0.0215%8 Oct →
dust22–13-0.0419%8 Oct →
nuke4–80.0713%8 Oct →
dust213–11-0.0419%7 Oct →
inferno13–9-0.0315%7 Oct →
inferno3–13-0.0215%28 Sept →
dust26–13-0.0313%28 Sept →
anubis13–8-0.0114%28 Sept →
mirage16–140.0011%27 Sept →
dust211–13-0.046%27 Sept →
inferno10–13-0.0410%27 Sept →
cache22–18-0.0313%27 Sept →
dust213–90.010%27 Sept →
cache13–80.0419%26 Sept →
cache13–9-0.0213%26 Sept →
cache11–13-0.0214%26 Sept →
dust213–60.1426%26 Sept →
dust210–130.028%25 Sept →
dust213–60.0713%25 Sept →
dust27–13-0.0022%25 Sept →
dust211–13-0.0220%25 Sept →
dust213–8-0.0218%23 Sept →
ancient7–13-0.0413%20 Sept →
dust210–130.0318%20 Sept →
anubis10–130.0514%20 Sept →
mirage13–110.0618%19 Sept →
mirage0–6-0.0217%19 Sept →
dust29–13-0.0627%19 Sept →
mirage13–90.0212%18 Sept →
nuke9–13-0.0231%18 Sept →
dust213–8-0.0014%18 Sept →
inferno13–100.0113%18 Sept →
dust28–13-0.0914%17 Sept →
inferno13–40.0018%17 Sept →
dust213–80.1221%17 Sept →
ancient11–130.0225%17 Sept →
nuke13–90.038%16 Sept →
dust213–100.0423%16 Sept →
dust213–10.0027%16 Sept →
cache13–60.0613%15 Sept →
mirage11–13-0.0414%14 Sept →
inferno13–8-0.0115%14 Sept →
ancient13–70.0810%14 Sept →
inferno16–140.0410%14 Sept →
dust211–13-0.0713%14 Sept →
mirage6–13-0.0417%13 Sept →
dust24–130.0022%13 Sept →
mirage7–13-0.080%13 Sept →
cache13–90.0110%13 Sept →
dust211–130.0018%13 Sept →
anubis13–10-0.0416%13 Sept →
inferno13–80.0411%13 Sept →
inferno10–13-0.038%12 Sept →
anubis13–50.029%12 Sept →
ancient11–130.0412%12 Sept →
cache13–60.0521%12 Sept →
anubis13–50.0414%12 Sept →
inferno7–13-0.0014%12 Sept →
ancient13–90.0316%12 Sept →
ancient13–20.0711%11 Sept →
dust212–3-0.0128%10 Sept →
dust213–50.0115%10 Sept →
nuke8–130.129%9 Sept →
dust213–50.1325%9 Sept →
dust213–100.075%9 Sept →
inferno6–13-0.040%9 Sept →
nuke6–13-0.0913%9 Sept →
dust210–130.0120%9 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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