big dog — CS2 Stats

76561198159814380[U:1:199548652]

1,722Tracked matches46%Win rate2020Tracked since
3,385Hours in CS8Hrs last 2 wks
CSDB Rating5.3 Developing
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 medianLevel 7 medianvs Level 7
Headshot rate55.5%44.9%46.2%above
Shot accuracy16.0%11.8%12.5%above
Kill/death ratio0.861.041.060.20 short
Match win rate40.8%45.3%45.9%5.1% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbig dogFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY494011Last 10049%Win rateLLWWTLTWLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim5.9
Aggression7.2
Utility5.5
Positioning5.3
Opening Duels2.8
Clutch0.0

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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 655ms 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

Aim5.9
Positioning5.3
Utility5.5
Mechanics6.5
Opening Duels2.8
Win Impact3.8

Composite 5.3/10 (Developing), 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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time648ms−30ms
first ⅓ avg 678ms → last ⅓ avg 648ms
Headshot accuracy22.2%−7.0%
first ⅓ avg 29.3% → last ⅓ avg 22.2%

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 — cache 13–7
131Biggest win — anubis
7Longest win streak
L2Current streak
86In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C26111542%-0.01
cacheA1911858%0.02
infernoD1751229%0.02
mirageA148657%0.01
anubisA106460%0.01
ancientB84450%-0.00
train21150%0.02
shelter110100%0.01
debris110100%-0.00
nuke110100%-0.02
office1010%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,656Lifetime kills
0.86K/D
5,384Matches
40.8%Match win rate
55.5%Headshot % · Top 25% of Level 6 players
16.0%Shot accuracy · Top 25% of Level 6 players
10,929MVPs
4,100Hours (in match)
5,182Bombs planted
1,046Bombs defused

Most-used weapons

AK-4749,045
AWP7,096
SSG 082,695
P2502,613
FAMAS2,216
P901,942

Lifetime map wins

7,547inferno
5,475dust2
2,252train
1,478vertigo
1,111nuke
1,050cbble
116office
87lake

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

Faceit stats

Combat

242Matches
54%Win rate
1.16Avg K/D
75.1ADR
41%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
16Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%1.3923.7
Dust210%1.0716.0

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.

21.7%Headshot accuracy
32.5%Accuracy (enemy spotted)
30.9%Spray accuracy
79.4%Counter-strafing
10.1°Preaim
655msReaction time
35.1%T opening success
47.1%CT opening success
0.57Enemies flashed / flash
4.6%Flash assists
11.20HE damage / grenade
10.85Flashes / 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 35.117% — below the 40% mark we flag

Spend your practice time on Inferno

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 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.009%27 Aug
inferno9–13-0.057%22 Aug
dust213–60.0111%22 Aug
shelter13–70.0120%22 Aug
inferno8–80.0123%20 Aug
dust211–13-0.0319%20 Aug
dust212–12-0.0228%20 Aug
mirage13–7-0.0620%19 Aug
mirage6–130.0015%18 Aug
inferno13–70.0629%18 Aug
ancient13–100.0413%17 Aug
ancient13–50.1122%16 Aug
train11–13-0.0311%13 Aug
mirage5–130.0214%13 Aug
dust213–100.0523%13 Aug
ancient6–130.0021%12 Aug
inferno6–13-0.0210%12 Aug
cache5–13-0.0229%12 Aug
mirage10–130.0115%12 Aug
inferno13–100.0324%12 Aug
mirage8–130.0518%11 Aug
dust213–110.0430%11 Aug
cache13–50.0722%11 Aug
dust212–120.0243%11 Aug
cache6–130.0129%10 Aug
cache13–70.1330%9 Aug
dust210–130.0828%9 Aug
inferno7–13-0.0033%9 Aug
anubis13–9-0.0226%2 Aug
dust213–8-0.0022%2 Aug
mirage8–13-0.0226%2 Aug
anubis13–60.0932%2 Aug
cache7–13-0.0234%2 Aug
dust22–13-0.066%2 Aug
inferno13–40.1221%2 Aug
cache13–80.0524%1 Aug
dust27–13-0.0115%29 Jul
inferno6–130.1019%29 Jul
cache13–40.1131%26 Jul
dust213–20.0440%26 Jul
anubis13–110.0823%26 Jul
cache13–9-0.0218%25 Jul
mirage13–110.0314%25 Jul
train13–20.0716%25 Jul
anubis13–1-0.0222%25 Jul
inferno12–12-0.0211%25 Jul
dust212–12-0.0828%25 Jul
debris9–6-0.0024%25 Jul
inferno13–60.0822%23 Jul
dust211–130.0515%23 Jul
cache12–120.0318%19 Jul
dust213–70.0323%19 Jul
inferno11–130.0423%19 Jul
nuke13–9-0.0219%19 Jul
mirage13–80.0420%19 Jul
ancient8–130.0320%19 Jul
cache13–40.0221%16 Jul
dust213–90.0011%16 Jul
inferno9–130.0123%13 Jul
dust213–80.0126%13 Jul
ancient13–5-0.0126%13 Jul
dust212–12-0.0141%12 Jul
mirage13–9-0.0223%12 Jul
cache6–13-0.0426%12 Jul
anubis0–13-0.0250%12 Jul
dust29–13-0.0031%12 Jul
dust213–9-0.0726%9 Jul
cache4–13-0.0524%9 Jul
dust213–4-0.0629%8 Jul
mirage13–110.1242%8 Jul
ancient2–13-0.0857%8 Jul
cache13–70.0433%7 Jul
anubis13–110.0224%7 Jul
office10–130.0124%3 Jul
dust28–13-0.0630%3 Jul
mirage13–50.0827%3 Jul
anubis11–130.0019%3 Jul
anubis13–60.0026%1 Jul
cache13–60.0638%1 Jul
cache11–13-0.0331%1 Jul
cache13–80.0228%28 Jun
dust27–13-0.0625%28 Jun
cache5–110.0228%27 Jun
dust213–11-0.0331%26 Jun
inferno8–40.0723%26 Jun
mirage13–10.0633%26 Jun
inferno0–9-0.2813%26 Jun
mirage13–11-0.0723%25 Jun
inferno12–12-0.0019%25 Jun
cache13–11-0.0828%25 Jun
ancient2–13-0.0829%23 Jun
dust29–130.0330%22 Jun
anubis12–120.0023%22 Jun
mirage2–13-0.0631%22 Jun
inferno12–120.0425%22 Jun
inferno8–80.1220%22 Jun
cache13–70.0123%21 Jun
dust28–13-0.0153%21 Jun
anubis10–13-0.0434%21 Jun
ancient13–4-0.0344%17 Jun

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 →