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B-RYE — CS2 Stats

76561198432811350[U:1:472545622]

1,057Tracked matches48%Win rate2020Tracked since
CSDB Rating3.3 Learning
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#22888 of 31439 tracked
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGB-RYEPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning43
Utility40

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLLLLLWWLLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

Aim2.9
Aggression4.2
Utility4.0
Positioning4.3
Opening Duels1.5

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 77% playstyle similarity

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

Where you differ: lower utility contribution; 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. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning4.3
Utility4.0
Mechanics3.5
Opening Duels1.5
Win Impact4.4

Composite 3.3/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time673ms+20ms
first ⅓ avg 653ms → last ⅓ avg 673ms
Headshot accuracy12.7%+0.2%
first ⅓ avg 12.4% → last ⅓ avg 12.7%

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 — inferno 9–3
13–0Biggest win — ancient
6Longest win streak
L5Current streak
7–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 70% over 23anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
ancientS2316–770%-0.00
infernoA1911–858%0.00
mirageA1710–759%-0.03
nukeB147–750%-0.02
overpassD93–633%-0.03
anubisD71–614%-0.05
dust2D61–517%-0.03
cache—30–30%-0.06
train—22–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy
29.9%Accuracy (enemy spotted)
30.0%Spray accuracy
65.5%Counter-strafing
10.6°Preaim
662msReaction time
34.6%T opening success
37.3%CT opening success
0.64Enemies flashed / flash
2.9%Flash assists
8.46HE damage / grenade
4.45Flashes / 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 12.267% — below the 15% mark we flag

    Aim Training →
  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 34.648% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0317%1 Aug →
ancient4–13-0.0925%1 Aug →
inferno9–13-0.066%1 Aug →
anubis5–13-0.0523%1 Aug →
cache3–13-0.094%1 Aug →
ancient13–80.0114%27 Jul →
mirage13–70.0414%27 Jul →
cache10–13-0.049%26 Jul →
dust27–13-0.0416%26 Jul →
nuke9–13-0.055%26 Jul →
mirage16–12-0.066%26 Jul →
nuke8–13-0.0114%26 Jul →
inferno13–70.0514%25 Jul →
ancient7–13-0.0213%24 Jul →
mirage6–13-0.0413%24 Jul →
anubis15–15-0.037%21 Jul →
inferno13–2-0.0414%21 Jul →
ancient13–8-0.0314%21 Jul →
nuke11–70.0319%20 Jul →
inferno13–40.1420%20 Jul →
mirage13–5-0.0218%20 Jul →
mirage3–13-0.097%18 Jul →
ancient13–4-0.022%18 Jul →
cache3–13-0.0611%18 Jul →
mirage11–13-0.057%4 Jul →
nuke13–11-0.0711%4 Jul →
inferno13–7-0.0027%4 Jul →
ancient13–9-0.0412%30 May →
anubis11–13-0.048%30 May →
dust213–70.0311%23 Mar →
overpass9–13-0.0313%23 Mar →
inferno13–90.0216%15 Mar →
mirage8–13-0.0810%15 Mar →
ancient9–13-0.044%15 Mar →
ancient13–70.014%8 Mar →
mirage8–13-0.0812%7 Mar →
anubis11–13-0.0714%7 Mar →
inferno9–30.1418%7 Mar →
ancient13–4-0.0013%14 Feb →
nuke3–13-0.074%14 Feb →
ancient13–10-0.086%7 Feb →
anubis13–7-0.0311%7 Feb →
mirage13–11-0.0010%7 Feb →
nuke13–10-0.028%7 Feb →
anubis15–15-0.063%24 Jan →
ancient13–6-0.0414%24 Jan →
mirage13–10-0.0414%24 Jan →
ancient13–40.088%24 Jan →
inferno11–13-0.0513%24 Jan →
anubis8–13-0.0311%24 Jan →
inferno13–70.025%24 Jan →
mirage13–9-0.066%23 Jan →
dust25–13-0.0421%23 Jan →
ancient1–13-0.0315%19 Jan →
dust215–15-0.0115%18 Jan →
nuke13–110.0113%18 Jan →
mirage13–10-0.0513%18 Jan →
mirage13–110.0212%18 Jan →
ancient13–20.1322%17 Jan →
overpass16–12-0.0514%17 Jan →
inferno13–60.0621%17 Jan →
ancient9–13-0.0311%17 Jan →
mirage9–13-0.0710%10 Jan →
nuke11–13-0.0621%10 Jan →
ancient13–70.0613%4 Jan →
overpass13–100.0327%3 Jan →
inferno13–11-0.0414%3 Jan →
mirage13–30.0110%3 Jan →
ancient13–11-0.0410%3 Jan →
inferno15–15-0.058%3 Jan →
mirage13–10.0511%27 Dec →
overpass16–13-0.0611%27 Dec →
inferno13–4-0.0410%27 Dec →
nuke5–20.0913%27 Dec →
ancient13–4-0.013%27 Dec →
mirage5–13-0.0321%20 Dec →
nuke11–130.0116%13 Dec →
dust211–13-0.038%13 Dec →
overpass6–130.0317%13 Dec →
inferno10–13-0.0015%13 Dec →
dust25–13-0.0817%22 Nov →
overpass9–13-0.023%22 Nov →
overpass11–13-0.067%20 Sept →
ancient10–13-0.0219%20 Sept →
nuke1–13-0.0713%20 Sept →
ancient16–140.0118%20 Sept →
inferno6–13-0.0617%20 Sept →
ancient13–00.0614%13 Sept →
nuke13–90.0115%13 Sept →
inferno11–13-0.0011%13 Sept →
ancient13–80.0312%13 Sept →
inferno13–50.0117%4 Sept →
nuke5–13-0.025%31 Aug →
ancient11–130.0115%30 Aug →
nuke13–7-0.0717%30 Aug →
inferno8–13-0.0219%30 Aug →
train13–70.008%30 Aug →
train13–30.0419%30 Aug →
overpass3–13-0.096%30 Aug →
overpass10–13-0.0110%30 Aug →

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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