SVEN — CS2 Stats

76561198800025966[U:1:839760238]

1,302Tracked matches43%Win rate2022Tracked since
CSDB Rating5.8 SolidHybrid Rifler
Premier CS Rating25,036Top 25% of 29,473 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#5705 of 49154 tracked
FaceitLevel 9 · 1,663 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSVENFACEITLevel 9 · 1,663 ELOSTANDINGTop 20.7% of rankedPREMIER25,036 · Red bandcsdb.gg/stats

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Performance scores

Aim77
Positioning48
Utility59

0–100 skill scores via Leetify.

Recent form

COLD53434Last 10053%Win rateLLWLLLLLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim7.7
Aggression4.9
Utility5.9
Positioning4.8
Opening Duels0.6
Clutch3.8

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

T-side openings. Opening success drops from 41% on CT to 24% 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

Aim7.7
Positioning4.8
Utility5.9
Mechanics6.1
Opening Duels1.4
Win Impact2.8

Composite 5.8/10 (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 rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time539ms+8ms
first ⅓ avg 531ms → last ⅓ avg 539ms
Headshot accuracy16.9%−1.8%
first ⅓ avg 18.7% → last ⅓ avg 16.9%

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

0.19Best rating — inferno 13–4
130Biggest win — dust2
6Longest win streak
L2Current streak
94In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 64% over 14mirageWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoA26161062%0.03
mirageC2181338%0.01
nukeA149564%0.02
anubisA138562%0.02
dust2B115645%0.01
ancientC94544%0.00
cacheA53260%-0.00
vertigo1010%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

422Matches
51%Win rate
1.31Avg K/D
88.5ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10353%1.2718.1
Inferno8444%1.2517.2
Dust24751%1.2418.0
Nuke4556%1.4620.2
Anubis4050%1.3218.6
Vertigo3959%1.3920.6
Ancient3842%1.3619.6
Cache2162%1.4417.3

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.

17.6%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.0%Spray accuracy
77.3%Counter-strafing
9.3°Preaim
535msReaction time
24.0%T opening success
41.1%CT opening success
0.51Enemies flashed / flash
4.0%Flash assists
12.42HE damage / grenade
13.17Flashes / 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 23.9938% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.0218%30 Aug
mirage7–130.0318%27 Aug
cache13–60.0723%26 Aug
inferno15–19-0.0219%25 Aug
nuke2–130.048%23 Aug
inferno7–13-0.0314%23 Aug
mirage11–130.0422%23 Aug
inferno10–130.0312%22 Aug
mirage9–13-0.0018%22 Aug
mirage0–13-0.1021%22 Aug
inferno13–30.0116%21 Aug
nuke5–13-0.0813%21 Aug
dust28–130.068%21 Aug
anubis9–130.0123%1 Aug
cache13–7-0.0313%1 Aug
inferno13–70.0315%31 Jul
inferno13–160.0214%31 Jul
ancient16–14-0.0519%29 Jul
mirage11–13-0.0617%28 Jul
dust213–0-0.000%28 Jul
inferno13–10-0.0615%28 Jul
vertigo5–130.0927%22 Jul
dust27–13-0.0517%18 Jul
anubis13–70.0718%18 Jul
nuke13–50.0720%18 Jul
inferno13–80.0324%18 Jul
inferno13–8-0.0014%17 Jul
inferno13–60.0317%17 Jul
ancient13–40.0627%17 Jul
inferno11–13-0.0131%17 Jul
anubis13–110.0512%17 Jul
ancient15–150.0117%17 Jul
mirage8–13-0.0210%15 Jul
anubis13–10-0.0319%15 Jul
anubis10–13-0.0618%14 Jul
anubis5–13-0.0327%14 Jul
inferno6–13-0.0314%14 Jul
ancient4–13-0.0115%14 Jul
nuke13–80.0321%14 Jul
dust24–130.0119%14 Jul
dust213–110.0115%14 Jul
mirage13–100.0213%14 Jul
nuke10–13-0.0716%13 Jul
cache8–13-0.0613%13 Jul
anubis16–120.027%13 Jul
inferno13–4-0.0114%13 Jul
mirage0–13-0.0740%13 Jul
mirage6–13-0.0127%12 Jul
dust29–130.0013%12 Jul
nuke13–90.0711%12 Jul
mirage13–40.1030%12 Jul
mirage13–10.0222%12 Jul
anubis13–160.037%11 Jul
nuke13–110.1012%11 Jul
anubis8–130.0619%11 Jul
nuke7–130.0114%10 Jul
dust216–13-0.0123%10 Jul
inferno13–10.0619%10 Jul
mirage15–15-0.0114%9 Jul
ancient13–10-0.0426%9 Jul
mirage13–40.057%9 Jul
dust29–13-0.0318%9 Jul
cache13–110.0217%9 Jul
inferno12–120.0116%8 Jul
nuke8–1-0.0167%8 Jul
cache6–13-0.019%7 Jul
inferno14–160.0226%5 Jul
nuke13–11-0.0119%5 Jul
mirage3–13-0.0317%5 Jul
nuke15–150.0213%5 Jul
mirage16–120.0015%4 Jul
inferno13–40.1920%4 Jul
inferno13–30.0718%3 Jul
nuke16–140.0213%1 Jul
inferno13–80.0130%1 Jul
anubis13–70.0215%1 Jul
ancient9–130.0210%1 Jul
dust213–70.0922%1 Jul
mirage8–130.0019%1 Jul
ancient8–13-0.034%30 Jun
mirage6–130.0119%30 Jun
mirage13–70.1027%29 Jun
nuke13–70.0315%29 Jun
dust28–130.0025%29 Jun
inferno13–90.0518%29 Jun
inferno13–90.1119%28 Jun
inferno8–130.0214%28 Jun
mirage13–40.0612%28 Jun
inferno16–130.0822%27 Jun
dust213–00.0113%27 Jun
anubis13–60.0731%26 Jun
inferno13–10.0815%26 Jun
mirage7–130.0418%26 Jun
anubis13–4-0.0223%26 Jun
mirage13–90.0117%25 Jun
ancient5–13-0.0017%25 Jun
nuke13–30.0829%24 Jun
anubis13–110.0524%24 Jun
inferno13–20.0324%24 Jun
ancient13–110.0719%23 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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