dawg — CS2 Stats

76561198074513211[U:1:114247483]

637Tracked matches62%Win rate2020Tracked since
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating26,446Top 10% of 29,473 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#2519 of 39924 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGdawgFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER26,446 · Red bandcsdb.gg/stats

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Performance scores

Aim68
Positioning60
Utility60

0–100 skill scores via Leetify.

Recent form

HOT57421Last 10057%Win rateLWLWWLWWWW

Last 10 vs previous 10: +30pp win rate · -0.04 avg rating

Player DNA

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

Aim6.8
Aggression4.9
Utility6.0
Positioning6.0
Opening Duels1.4

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 90% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 →

CSDB Rating breakdown

Aim6.8
Positioning6.0
Utility6.0
Mechanics5.1
Opening Duels1.4
Win Impact9.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time537ms−25ms
first ⅓ avg 561ms → last ⅓ avg 537ms
Headshot accuracy16.2%+0.1%
first ⅓ avg 16.1% → last ⅓ avg 16.2%

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

0.14Best rating — vertigo 13–5
131Biggest win — inferno
6Longest win streak
76In matches decided by ≤2 rounds
10Overtime games

Map breakdown

vertigoBest map · 83% over 12dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC24101442%0.01
ancientA159660%0.02
nukeS1411379%0.02
anubisB126650%0.02
vertigoS1210283%0.07
dust2D82625%-0.02
cacheA53260%-0.01
mirageC52340%0.02
office330100%0.09
overpass21150%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches
67%Win rate
1.08Avg K/D
ADR
47%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%0.7512.0
Vertigo10%1.2426.0

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.

16.2%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.4%Spray accuracy
72.9%Counter-strafing
9.5°Preaim
528msReaction time
29.4%T opening success
41.5%CT opening success
0.67Enemies flashed / flash
7.1%Flash assists
10.86HE damage / grenade
8.39Flashes / 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 29.4393% — 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.

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

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.029%28 Aug
anubis13–80.0213%28 Aug
anubis8–13-0.0315%26 Aug
nuke13–110.0412%26 Aug
inferno13–8-0.0019%23 Aug
inferno2–9-0.217%23 Aug
inferno13–70.0512%13 Aug
cache16–14-0.0014%12 Aug
anubis13–40.0418%12 Aug
nuke9–2-0.1513%12 Aug
ancient13–50.0823%11 Aug
ancient13–160.0316%8 Aug
inferno6–13-0.0414%8 Aug
dust23–130.0116%8 Aug
cache5–13-0.0314%4 Aug
inferno7–130.0325%4 Aug
nuke16–140.0319%4 Aug
cache16–120.0310%3 Aug
ancient13–70.0316%2 Aug
anubis5–130.0019%2 Aug
nuke13–20.0412%30 Jul
anubis16–140.0320%30 Jul
nuke13–50.0519%24 Jul
ancient11–130.0216%10 Jul
inferno13–11-0.0213%9 Jul
ancient5–13-0.0313%9 Jul
nuke13–9-0.0217%9 Jul
cache13–10-0.0410%9 Jul
nuke13–80.0626%9 Jul
vertigo13–80.1330%8 Jul
cache12–12-0.0111%7 Jul
anubis1–13-0.0321%12 Jun
ancient14–16-0.0525%3 Jun
inferno13–70.0424%3 Jun
inferno13–40.0119%3 Jun
inferno7–13-0.0314%30 May
ancient13–80.0220%30 May
mirage13–50.0722%30 May
inferno11–130.0418%30 May
anubis9–130.0716%30 May
anubis13–30.0817%22 May
ancient13–80.0516%22 May
dust27–130.0126%22 May
inferno5–20.0736%22 May
nuke13–80.0721%22 May
nuke7–130.0119%20 May
ancient13–70.0417%20 May
inferno13–30.0719%20 May
dust210–130.0010%26 Apr
ancient16–130.007%25 Apr
dust213–80.0119%25 Apr
ancient13–70.0316%25 Apr
vertigo13–70.0822%25 Apr
inferno7–130.0419%8 Apr
office13–40.0413%8 Apr
inferno10–13-0.019%30 Mar
inferno13–10.1119%15 Mar
anubis13–80.0511%15 Mar
mirage10–130.0011%15 Mar
vertigo8–130.0617%12 Mar
dust26–13-0.0319%12 Mar
ancient13–80.0113%12 Mar
inferno7–130.0718%12 Mar
vertigo13–70.0517%12 Mar
inferno5–13-0.0616%10 Mar
anubis11–130.0412%10 Mar
ancient5–130.0110%9 Mar
vertigo13–10.0718%9 Mar
mirage2–70.0627%7 Mar
office13–30.1018%7 Mar
nuke13–80.0312%6 Mar
inferno13–4-0.0521%6 Mar
nuke13–60.0528%6 Mar
inferno5–130.0115%5 Mar
nuke16–120.0411%5 Mar
overpass13–110.0212%5 Mar
dust24–13-0.0813%5 Mar
mirage11–130.0212%5 Mar
nuke6–130.0718%5 Mar
inferno8–130.0216%4 Mar
inferno13–160.0530%3 Mar
vertigo13–20.029%3 Mar
dust27–13-0.0514%2 Mar
dust213–5-0.0220%1 Mar
anubis13–10.0111%1 Mar
vertigo9–13-0.0218%1 Mar
mirage16–14-0.0412%28 Feb
vertigo13–100.1215%28 Feb
overpass5–13-0.0319%23 Feb
inferno6–13-0.0310%23 Feb
inferno13–30.0119%23 Feb
ancient8–130.0116%23 Feb
vertigo13–5-0.015%23 Feb
ancient13–50.0717%22 Feb
vertigo13–30.0718%19 Feb
vertigo13–60.1014%19 Feb
office13–30.1314%19 Feb
vertigo13–50.1416%19 Feb
inferno5–13-0.0424%18 Feb
nuke11–130.0011%18 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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