xbox

xbox — CS2 Stats

US76561198060806396[U:1:100540668]Steam profile ↗✓ No bans

1,313Tracked matches56%Win rate2020Tracked since
2,685Hours in CS
CSDB Rating6.8 SolidAggressive Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate62.5%49.0%52.0%above
Shot accuracy13.5%13.1%13.7%meets
Kill/death ratio1.661.081.08above
Match win rate44.9%46.9%48.8%3.9% short

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGxboxFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim91
Positioning61
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY54415Last 10054%Win rateLWLTWWWWTL

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.1
Aggression7.2
Utility4.6
Positioning6.1
Opening Duels2.6
Clutch4.2

Sharp aimer

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 94% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success.

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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

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

Aim9.1
Positioning6.1
Utility4.6
Mechanics8.0
Opening Duels2.6
Win Impact6.9

Composite 6.8/10 (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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time524ms−46ms
first ⅓ avg 569ms → last ⅓ avg 524ms
Headshot accuracy20.5%−2.7%
first ⅓ avg 23.2% → last ⅓ avg 20.5%

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

0.20Best rating — train 13–0
130Biggest win — train
9Longest win streak
1110In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 80% over 5infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageS30201067%0.03
cacheC28121643%0.06
anubisB147750%0.03
ancientS118373%0.01
infernoD61517%-0.02
dust2S54180%0.07
train31233%0.08
nuke21150%0.01
vertigo1010%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

179,563Lifetime kills
1.66K/D · Top 5% of Level 9 players
4,879Matches
44.9%Match win rate
62.5%Headshot % · Top 10% of Level 9 players
13.5%Shot accuracy · Top 50% of Level 9 players
18,073MVPs
2,685Hours (in match)
4,696Bombs planted
1,918Bombs defused

Most-used weapons

AK-4798,041
AWP13,042
P2502,378
MP92,377
MAC-102,040
Knife1,731

Lifetime map wins

6,493dust2
5,889inferno
1,213nuke
962vertigo
717train
500cbble
110office
34dust

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

Faceit stats

Combat

462Matches
52%Win rate
1.28Avg K/D
82.7ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8849%1.1716.4
Ancient5765%1.1116.6
Anubis3551%1.3216.7
Inferno3244%1.1216.4
Dust21362%0.9616.2
Vertigo1362%1.2115.6
Cache1070%1.3617.4
Overpass944%1.3819.7

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.

20.8%Headshot accuracy
40.2%Accuracy (enemy spotted)
44.8%Spray accuracy
86.0%Counter-strafing
8.8°Preaim
524msReaction time
36.8%T opening success
44.0%CT opening success
0.37Enemies flashed / flash
7.0%Flash assists
11.96HE damage / grenade
5.39Flashes / 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. 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 0.3746 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.808% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
train8–13-0.0011%29 Aug
train13–00.2032%29 Aug
cache6–130.0330%27 Aug
train12–120.0431%27 Aug
ancient13–6-0.0117%27 Aug
anubis13–110.0328%26 Aug
mirage13–100.0729%26 Aug
mirage13–40.0922%25 Aug
vertigo12–12-0.0723%24 Aug
ancient14–16-0.0627%24 Aug
anubis13–20.0723%24 Aug
cache9–13-0.0225%22 Aug
cache6–130.0218%21 Aug
mirage13–80.1318%21 Aug
mirage13–100.0716%20 Aug
cache13–50.1521%20 Aug
mirage16–14-0.038%20 Aug
mirage13–50.0226%20 Aug
anubis4–130.0420%20 Aug
mirage13–50.0722%19 Aug
anubis11–13-0.0321%19 Aug
mirage13–90.0315%19 Aug
cache12–120.1812%19 Aug
cache3–130.0630%18 Aug
nuke3–9-0.0718%18 Aug
inferno4–9-0.0714%18 Aug
inferno5–9-0.0411%18 Aug
cache8–13-0.069%18 Aug
cache13–50.0722%18 Aug
mirage5–130.0111%18 Aug
cache9–130.0333%18 Aug
cache13–90.0115%17 Aug
mirage5–13-0.0218%16 Aug
dust215–150.0227%16 Aug
cache11–13-0.0314%16 Aug
cache11–130.0017%16 Aug
cache12–120.0318%16 Aug
mirage13–110.1420%16 Aug
cache13–4-0.0118%15 Aug
mirage11–13-0.0623%15 Aug
dust213–60.1625%15 Aug
mirage13–20.1119%15 Aug
cache13–30.1613%15 Aug
mirage13–80.0219%15 Aug
mirage2–1-0.0514%15 Aug
ancient13–90.1530%15 Aug
cache13–00.1823%14 Aug
mirage13–30.1122%14 Aug
mirage13–70.0623%14 Aug
anubis7–13-0.0816%13 Aug
ancient16–140.0020%11 Aug
anubis13–5-0.0114%11 Aug
mirage13–100.0921%11 Aug
ancient13–110.0215%8 Aug
mirage11–130.0219%8 Aug
ancient6–130.0320%8 Aug
mirage13–50.0511%8 Aug
dust213–90.1325%8 Aug
inferno13–110.0321%8 Aug
inferno9–130.0825%8 Aug
inferno5–13-0.0710%8 Aug
anubis7–130.0320%8 Aug
ancient13–80.0625%7 Aug
anubis13–50.0734%7 Aug
mirage13–50.0124%7 Aug
mirage13–5-0.019%6 Aug
anubis9–130.0722%6 Aug
anubis13–80.0018%6 Aug
cache11–130.1128%4 Aug
anubis5–130.0038%4 Aug
dust213–110.0031%1 Aug
ancient13–10.0112%30 Jul
dust216–140.0521%30 Jul
cache11–130.0321%30 Jul
mirage14–16-0.0120%29 Jul
ancient7–13-0.0825%27 Jul
cache13–70.1241%26 Jul
cache13–40.0424%26 Jul
mirage12–16-0.0126%26 Jul
cache13–100.0018%25 Jul
anubis13–50.0430%25 Jul
cache6–130.1233%24 Jul
ancient13–70.0633%23 Jul
anubis9–130.0725%20 Jul
nuke9–50.0922%18 Jul
mirage5–130.0222%18 Jul
mirage3–60.0111%18 Jul
mirage1–130.0129%18 Jul
cache13–20.1426%18 Jul
anubis13–110.0624%17 Jul
mirage13–11-0.0417%16 Jul
mirage1–13-0.090%15 Jul
ancient13–3-0.0324%14 Jul
mirage13–60.0530%12 Jul
cache10–130.1319%7 Jul
cache10–130.1425%6 Jul
cache13–20.0217%6 Jul
inferno10–13-0.058%4 Jul
cache13–70.1121%3 Jul
cache11–130.0427%3 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →