wrecksome — CS2 Stats

76561198054003285[U:1:93737557]✓ No bans

1,962Tracked matches38%Win rate2023Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
Premier CS Rating24,996Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#1679 of 9412 tracked
FaceitLevel 8 · 1,393 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGwrecksomeFACEITLevel 8 · 1,393 ELOSTANDINGTop 31.2% of rankedPREMIER24,996 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning43
Utility58

0–100 skill scores via Leetify.

Recent form

COLD47521Last 10047%Win rateLLWLLLLWLL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim7.6
Aggression5.2
Utility5.8
Positioning4.3
Opening Duels1.8
Clutch4.2

Strong CT-side opener

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 91% playstyle similarity

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

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 46% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.6
Positioning4.3
Utility5.8
Mechanics6.0
Opening Duels2.0
Win Impact1.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time527ms−13ms
first ⅓ avg 539ms → last ⅓ avg 527ms
Headshot accuracy15.4%−2.1%
first ⅓ avg 17.4% → last ⅓ avg 15.4%

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

0.12Best rating — anubis 13–6
130Biggest win — anubis
9Longest win streak
L2Current streak
68In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 64% over 11ancientWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
ancientD2061430%0.01
anubisB189950%0.02
infernoC1881044%0.00
cacheA169756%0.02
nukeA117464%0.02
mirageC73443%-0.02
dust2B63350%0.01
overpass32167%0.02
train1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

257Matches
52%Win rate
1.01Avg K/D
78.4ADR
41%Headshot %

Clutches & streaks

41%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5161%0.9513.8
Anubis4149%1.0816.6
Mirage4132%0.8914.0
Inferno3951%1.0916.0
Nuke2948%1.0715.8
Dust22070%1.0315.3
Train1856%0.9415.1
Overpass1080%1.2216.3

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.

14.4%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.7%Spray accuracy
77.0%Counter-strafing
8.3°Preaim
531msReaction time
28.2%T opening success
45.9%CT opening success
0.42Enemies flashed / flash
6.6%Flash assists
7.78HE damage / grenade
10.48Flashes / 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 14.3843% — 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 0.418 — 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 28.1728% — below the 40% mark we flag

Spend your practice time on Ancient

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

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train5–13-0.0711%24 Aug
anubis10–13-0.0611%24 Aug
ancient13–6-0.0115%24 Aug
ancient8–130.0210%24 Aug
cache3–13-0.0427%24 Aug
anubis8–13-0.060%24 Aug
anubis9–13-0.0118%23 Aug
dust213–80.0418%23 Aug
inferno11–13-0.0510%23 Aug
overpass10–13-0.0213%23 Aug
dust211–13-0.0516%23 Aug
ancient6–13-0.017%22 Aug
inferno16–130.0814%22 Aug
nuke13–100.0026%22 Aug
cache13–80.1014%22 Aug
inferno13–6-0.0413%22 Aug
mirage13–100.0311%21 Aug
dust215–15-0.0020%21 Aug
inferno7–13-0.0719%21 Aug
anubis11–13-0.0213%21 Aug
cache4–13-0.0611%20 Aug
nuke13–30.0715%20 Aug
ancient9–13-0.0313%20 Aug
inferno7–130.0110%19 Aug
mirage10–13-0.0910%18 Aug
ancient7–13-0.0620%18 Aug
mirage2–13-0.0227%18 Aug
inferno8–00.0914%18 Aug
nuke13–110.0116%18 Aug
inferno13–40.0313%17 Aug
inferno7–130.0717%17 Aug
ancient13–50.0833%11 Aug
cache13–100.0124%10 Aug
cache13–40.0218%10 Aug
anubis13–20.0426%10 Aug
cache13–100.079%10 Aug
ancient13–50.0821%10 Aug
dust213–70.0324%9 Aug
anubis13–50.0612%9 Aug
cache13–40.0718%9 Aug
anubis9–13-0.0419%9 Aug
ancient5–130.0113%8 Aug
cache6–130.0119%8 Aug
anubis13–00.0556%8 Aug
nuke13–90.0319%8 Aug
ancient6–130.0017%6 Aug
nuke10–130.0525%6 Aug
cache13–40.0113%6 Aug
anubis13–110.039%6 Aug
cache9–130.0614%5 Aug
ancient7–13-0.0318%5 Aug
overpass19–15-0.0216%5 Aug
inferno13–7-0.039%5 Aug
inferno13–30.0519%2 Aug
anubis13–160.1013%2 Aug
ancient11–130.0317%2 Aug
cache2–13-0.0814%1 Aug
anubis8–130.0235%1 Aug
ancient8–13-0.0422%1 Aug
mirage13–11-0.0518%1 Aug
cache13–160.0224%1 Aug
mirage14–16-0.0521%31 Jul
cache13–110.0614%31 Jul
inferno3–13-0.0411%31 Jul
anubis19–150.0812%31 Jul
overpass13–70.1124%31 Jul
dust29–130.0727%31 Jul
inferno6–13-0.0316%30 Jul
inferno5–13-0.045%30 Jul
anubis13–60.1236%30 Jul
nuke13–70.0723%30 Jul
ancient13–110.029%30 Jul
anubis13–80.0324%30 Jul
cache16–12-0.009%29 Jul
ancient8–130.1121%29 Jul
anubis13–50.0515%29 Jul
cache13–20.1016%29 Jul
nuke10–130.0710%29 Jul
ancient11–13-0.0316%29 Jul
inferno10–13-0.0110%28 Jul
anubis10–13-0.0517%28 Jul
nuke9–130.0121%28 Jul
ancient2–13-0.0524%28 Jul
inferno11–13-0.0214%28 Jul
dust213–6-0.0511%27 Jul
nuke13–80.0114%27 Jul
nuke3–13-0.1022%26 Jul
inferno13–90.0218%26 Jul
anubis13–80.0821%26 Jul
mirage13–50.0631%26 Jul
inferno11–13-0.0617%26 Jul
ancient13–80.0916%25 Jul
cache6–13-0.0716%25 Jul
nuke16–140.0014%25 Jul
mirage7–13-0.0217%25 Jul
ancient8–13-0.0617%25 Jul
inferno16–130.1020%24 Jul
ancient13–30.0623%24 Jul
anubis9–130.0116%24 Jul
ancient10–13-0.0114%24 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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