awp legend

awp legend — CS2 Stats

76561198862989389[U:1:902723661]Steam profile ↗✓ No bans

1,681Tracked matches39%Win rate2023Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 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: 14,999 +1,784 1 Sept – 1 Nov · 26 days played
13,21517,019peak 17,0191 Sept1 Nov
17,546Peak Premier in tracked matches
25Days played since 2026-09-01

Premier CS Rating

  • 2,020 below peak (17,019)
  • -767 over 30 days · declining
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGawp legendFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning69
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateTWTWLLWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.5pp headshot accuracy · +10ms reaction

Win rate up 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 687ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 682ms

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 (+2.3 against its own average).

Aim5.8
Utility4.4
Positioning6.9
Opening Duels4.1
Clutch3.2

Effective flashesLimited 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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 60% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 682ms 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

Aim5.8
Positioning6.9
Utility4.4
Mechanics8.1
Opening Duels5.7
Win Impact1.4

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time677ms+55ms
first ⅓ avg 621ms → last ⅓ avg 677ms
Headshot accuracy14.8%+4.1%
first ⅓ avg 10.6% → last ⅓ avg 14.8%

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

0.21Best match rating · 13–7 · dust2, 12 Oct →
31%Best headshot accuracy · 13–9 · inferno, 12 Oct →
445msFastest reaction time · 2–13 · ancient, 2 Oct →
13–0Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–8In matches decided by ≤2 rounds
17Overtime games

Map breakdown

anubisBest map · 56% over 16mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2410–1442%0.02
nukeB2111–1052%0.02
anubisA169–756%0.03
infernoC146–843%0.01
cacheC94–544%0.04
ancientA95–456%0.01
mirageD72–529%-0.00

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.

Faceit stats

Combat

138Matches
52%Win rate
1.07Avg K/D
78.0ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke3364%1.3616.9
Mirage3050%0.9414.4
Anubis2959%1.1416.8
Dust21650%0.9713.8
Inferno1242%0.9613.9
Cache743%0.8712.1
Train30%0.4910.7
Ancient333%0.7012.7

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.

13.9%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.0%Spray accuracy
86.6%Counter-strafing
8.5°Preaim
682msReaction time
60.5%T opening success
44.9%CT opening success
0.75Enemies flashed / flash
3.4%Flash assists
8.57HE damage / grenade
2.48Flashes / 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 13.8644% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.4829 — below the 4 mark we flag

    Grenade Lineups →
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
cache15–150.0517%1 Nov →
nuke13–80.049%1 Nov →
nuke15–150.0511%1 Nov →
inferno13–11-0.0316%1 Nov →
dust211–13-0.006%1 Nov →
ancient6–13-0.0211%1 Nov →
dust213–8-0.0329%31 Oct →
dust213–100.0317%31 Oct →
nuke13–60.0617%31 Oct →
anubis9–13-0.0011%30 Oct →
cache13–40.0512%30 Oct →
nuke13–8-0.037%29 Oct →
cache6–130.0413%25 Oct →
mirage11–130.0417%25 Oct →
nuke6–130.037%22 Oct →
anubis8–130.0013%22 Oct →
cache4–13-0.1023%21 Oct →
mirage1–13-0.0310%21 Oct →
anubis2–130.0222%21 Oct →
dust25–13-0.0314%20 Oct →
dust210–130.0421%20 Oct →
dust213–70.0814%20 Oct →
dust27–130.0216%19 Oct →
dust213–160.028%19 Oct →
anubis13–110.0415%19 Oct →
mirage10–130.0612%18 Oct →
mirage9–13-0.0511%18 Oct →
anubis13–60.0712%18 Oct →
anubis13–30.0925%18 Oct →
anubis14–160.059%17 Oct →
cache13–70.0626%17 Oct →
anubis13–100.0319%17 Oct →
nuke13–80.1018%17 Oct →
dust213–60.0514%17 Oct →
mirage9–13-0.133%16 Oct →
ancient4–13-0.0414%16 Oct →
dust213–80.0517%16 Oct →
nuke4–130.0514%16 Oct →
inferno12–160.0616%15 Oct →
mirage13–60.0621%15 Oct →
ancient10–13-0.009%15 Oct →
cache9–130.0716%15 Oct →
nuke9–130.0313%15 Oct →
dust25–13-0.053%15 Oct →
dust213–160.0411%14 Oct →
nuke13–60.0110%14 Oct →
anubis4–13-0.0610%14 Oct →
cache13–50.0116%14 Oct →
dust214–160.0219%14 Oct →
nuke16–140.0519%13 Oct →
nuke13–30.0113%13 Oct →
ancient13–10-0.015%13 Oct →
ancient13–50.0413%13 Oct →
dust213–70.2116%12 Oct →
inferno13–9-0.0131%12 Oct →
dust216–140.0114%12 Oct →
nuke3–13-0.005%12 Oct →
inferno13–60.0816%12 Oct →
nuke3–13-0.1021%12 Oct →
nuke13–110.1122%12 Oct →
inferno13–30.0323%11 Oct →
anubis13–100.0618%11 Oct →
nuke13–16-0.0015%11 Oct →
inferno11–13-0.0412%11 Oct →
inferno8–13-0.0515%11 Oct →
cache15–150.0918%10 Oct →
nuke11–13-0.0612%10 Oct →
dust28–13-0.0217%10 Oct →
nuke13–4-0.046%10 Oct →
inferno9–130.0619%10 Oct →
anubis13–90.0913%10 Oct →
dust27–13-0.035%9 Oct →
inferno11–13-0.0211%9 Oct →
anubis16–140.048%9 Oct →
dust213–110.036%9 Oct →
dust27–130.0013%3 Oct →
inferno13–160.0210%3 Oct →
nuke13–16-0.0115%2 Oct →
ancient2–13-0.0317%2 Oct →
dust214–16-0.0318%1 Oct →
inferno13–100.0213%1 Oct →
anubis6–130.0210%1 Oct →
cache13–90.069%30 Sept →
dust216–140.0319%30 Sept →
inferno13–60.022%30 Sept →
ancient13–50.0312%30 Sept →
nuke13–110.056%30 Sept →
ancient13–0-0.009%30 Sept →
anubis13–80.099%30 Sept →
dust210–130.014%29 Sept →
mirage13–40.062%29 Sept →
dust26–13-0.1015%29 Sept →
ancient16–140.0912%29 Sept →
inferno2–13-0.057%29 Sept →
inferno9–130.0416%29 Sept →
nuke10–13-0.049%28 Sept →
dust213–100.1811%28 Sept →
nuke13–100.0512%28 Sept →
anubis7–13-0.046%28 Sept →
anubis13–110.0514%28 Sept →

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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