big AWP

big AWP — CS2 Stats

NG76561199344203791[U:1:1383938063]Steam profile ↗✓ No bans

1,620Tracked matches38%Win rate2023Tracked since
CSDB Rating4.5 DevelopingHybrid Rifler
Premier CS Rating8,865Light Blue band · top ~60.3% of ranked players (population est.)
CSDB Leaderboard#7833 of 10565 tracked
Ladder ranks via Leetify

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CSDB.GGbig AWPPREMIER8,865 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning49
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY42553Last 10042%Win rateWWWWLLLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.1
Aggression5.5
Utility3.1
Positioning4.9
Opening Duels1.3
Clutch0.0

Strong CT-side openerLimited 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.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 44% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 578ms 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

Aim7.1
Positioning4.9
Utility3.1
Mechanics7.5
Opening Duels1.7
Win Impact1.0

Composite 4.5/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time583ms−43ms
first ⅓ avg 626ms → last ⅓ avg 583ms
Headshot accuracy11.2%−0.7%
first ⅓ avg 11.9% → last ⅓ avg 11.2%

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.

Highlights

0.13Best rating — office 13–10
132Biggest win — dust2
4Longest win streak
W4Current streak
37In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 100% over 5nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C40152538%0.00
officeC1971237%0.00
infernoB84450%0.02
nukeD82625%-0.02
mirageS64267%-0.03
ancientS550100%-0.01
cacheC52340%-0.02
vertigo3030%-0.02
train31233%0.03
boulder21150%-0.04
anubis110100%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
0%Win rate
0.43Avg K/D
44.6ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Overpass10%0.294.0
Inferno10%0.417.0
Cache10%0.538.0
Ancient10%0.507.0

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.

11.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
42.4%Spray accuracy
83.7%Counter-strafing
10.1°Preaim
578msReaction time
26.8%T opening success
43.8%CT opening success
0.38Enemies flashed / flash
6.4%Flash assists
10.08HE damage / grenade
2.71Flashes / 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 11.1336% — below the 15% mark we flag

    Aim Training
  2. 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 0.375 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 26.7727% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.049%28 Aug
dust213–40.0013%28 Aug
dust213–6-0.0214%26 Aug
ancient16–14-0.0314%23 Aug
cache7–130.0321%22 Aug
dust26–13-0.0014%22 Aug
office10–13-0.0216%22 Aug
office13–8-0.016%22 Aug
office11–13-0.0411%22 Aug
inferno12–160.0112%22 Aug
dust22–13-0.049%22 Aug
cache13–8-0.026%21 Aug
ancient13–9-0.039%21 Aug
dust20–6-0.0711%21 Aug
inferno10–13-0.014%20 Aug
inferno3–13-0.0315%19 Aug
vertigo9–13-0.059%19 Aug
dust212–120.0316%18 Aug
office3–13-0.057%17 Aug
office13–5-0.010%17 Aug
dust213–70.0813%17 Aug
dust26–13-0.099%16 Aug
dust210–13-0.0316%16 Aug
dust213–80.0713%16 Aug
cache6–13-0.0910%15 Aug
train13–30.0512%15 Aug
inferno11–13-0.0210%15 Aug
nuke3–13-0.073%15 Aug
dust21–13-0.0719%15 Aug
dust24–13-0.0212%15 Aug
dust22–13-0.119%15 Aug
train11–13-0.0121%14 Aug
train9–130.046%14 Aug
anubis13–7-0.039%14 Aug
dust213–80.0210%14 Aug
office10–13-0.042%13 Aug
office13–4-0.024%13 Aug
dust21–13-0.018%13 Aug
dust211–130.0516%13 Aug
cache13–9-0.0314%13 Aug
office13–100.1311%11 Aug
dust28–13-0.0411%11 Aug
dust213–30.0916%11 Aug
dust213–20.094%10 Aug
dust211–13-0.027%9 Aug
dust213–6-0.0614%9 Aug
ancient16–120.0211%9 Aug
dust213–40.0910%9 Aug
dust28–13-0.0315%9 Aug
nuke13–60.0710%9 Aug
nuke6–13-0.0415%8 Aug
dust213–10-0.084%8 Aug
dust210–13-0.147%8 Aug
mirage13–70.035%7 Aug
nuke10–13-0.047%5 Aug
nuke13–160.025%3 Aug
dust24–13-0.0417%2 Aug
nuke7–13-0.119%2 Aug
dust210–130.0110%2 Aug
inferno13–70.0417%2 Aug
dust213–160.0215%2 Aug
dust213–110.095%2 Aug
dust210–130.058%2 Aug
ancient13–80.0212%2 Aug
nuke6–13-0.077%1 Aug
office7–13-0.028%1 Aug
dust26–130.0019%1 Aug
vertigo1–13-0.0514%1 Aug
nuke13–40.0914%1 Aug
office2–13-0.0717%1 Aug
mirage13–16-0.078%1 Aug
dust210–130.0113%1 Aug
cache11–130.007%1 Aug
boulder1–13-0.0613%31 Jul
boulder13–3-0.0311%31 Jul
office10–130.017%31 Jul
office13–60.0421%31 Jul
office7–13-0.048%31 Jul
dust24–130.0515%31 Jul
dust213–100.1216%30 Jul
mirage7–13-0.073%30 Jul
dust212–12-0.0121%30 Jul
office13–70.129%30 Jul
office6–13-0.0322%30 Jul
vertigo9–130.0313%29 Jul
dust29–130.012%29 Jul
office11–13-0.0015%29 Jul
inferno13–60.018%29 Jul
ancient13–3-0.0410%29 Jul
mirage13–4-0.039%28 Jul
dust213–90.0620%28 Jul
office9–130.068%28 Jul
inferno13–30.054%28 Jul
office3–13-0.068%28 Jul
inferno13–70.128%27 Jul
dust213–10-0.0115%27 Jul
dust212–120.0122%26 Jul
office13–70.095%26 Jul
mirage13–9-0.0013%26 Jul
dust213–9-0.0214%26 Jul

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 →