marp

marp — CS2 Stats

US76561199125168248[U:1:1164902520]Steam profile ↗✓ No bans

483Tracked matches43%Win rate2023Tracked since
CSDB Rating3.8 Learning
Premier CS Rating11,120Blue band · top ~49% of ranked players (population est.)
CSDB Leaderboard#26188 of 37051 tracked
Ladder ranks via Leetify

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CSDB.GGmarpPREMIER11,120 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning39
Utility50

0–100 skill scores via Leetify.

Recent form

COLD46513Last 10046%Win rateTLLLLWLWLT

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

Player DNA

Aim4.8
Aggression1.6
Utility5.0
Positioning3.9
Opening Duels0.0
Clutch4.8

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 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 39% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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

Aim4.8
Positioning3.9
Utility5.0
Mechanics4.7
Opening Duels1.1
Win Impact2.6

Composite 3.8/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time627ms−19ms
first ⅓ avg 646ms → last ⅓ avg 627ms
Headshot accuracy12.1%+1.5%
first ⅓ avg 10.6% → last ⅓ avg 12.1%

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 — nuke 13–1
131Biggest win — nuke
3Longest win streak
69In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 9ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB20101050%0.01
dust2C145936%-0.02
ancientD1331023%-0.02
infernoA127558%0.01
nukeA127558%0.01
cacheC114736%-0.02
anubisS96367%-0.00
train41325%-0.03
overpass32167%-0.01
vertigo21150%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches
47%Win rate
0.82Avg K/D
64.5ADR
34%Headshot %

Clutches & streaks

44%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage757%0.9511.6
Dust2633%0.538.5
Ancient450%0.5413.3
Nuke40%0.7313.0
Anubis475%1.4213.8
Inferno333%0.7712.0
Vertigo2100%0.6415.0
Train10%1.0715.0

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.

12.4%Headshot accuracy
34.3%Accuracy (enemy spotted)
36.7%Spray accuracy
71.2%Counter-strafing
11.0°Preaim
623msReaction time
16.4%T opening success
38.8%CT opening success
0.53Enemies flashed / flash
8.1%Flash assists
9.30HE damage / grenade
7.23Flashes / 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 12.3999% — 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 16.3821% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache15–15-0.0114%28 Aug
inferno6–13-0.0330%28 Aug
ancient9–130.0013%28 Aug
nuke11–130.069%28 Aug
dust214–16-0.0219%26 Aug
ancient19–16-0.0211%23 Aug
inferno14–16-0.018%23 Aug
cache13–5-0.0319%23 Aug
nuke3–13-0.0913%23 Aug
mirage15–15-0.0415%19 Aug
inferno13–80.0418%19 Aug
anubis13–8-0.0210%19 Aug
mirage1–7-0.076%17 Aug
ancient4–13-0.048%17 Aug
mirage6–13-0.028%17 Aug
anubis7–13-0.0413%17 Aug
mirage13–110.079%14 Aug
mirage13–30.0815%10 Aug
anubis13–30.1116%10 Aug
ancient5–13-0.0512%10 Aug
nuke7–13-0.0418%10 Aug
inferno13–70.009%9 Aug
dust210–13-0.0215%9 Aug
mirage16–13-0.0311%9 Aug
mirage13–10-0.048%9 Aug
mirage13–60.066%8 Aug
ancient7–130.0110%8 Aug
nuke13–40.0714%8 Aug
dust24–13-0.0410%8 Aug
mirage9–13-0.066%8 Aug
inferno13–100.0411%7 Aug
mirage13–60.045%3 Aug
dust213–8-0.0514%1 Aug
mirage4–130.0113%1 Aug
inferno13–7-0.0013%1 Aug
ancient13–3-0.026%1 Aug
mirage5–50.0122%1 Aug
mirage4–130.0318%1 Aug
anubis13–8-0.067%1 Aug
anubis9–13-0.065%1 Aug
dust29–13-0.0512%1 Aug
cache12–16-0.0216%24 Jul
cache5–13-0.069%24 Jul
nuke4–13-0.019%19 Jul
inferno13–30.0313%19 Jul
cache13–80.0616%19 Jul
inferno13–70.0312%16 Jul
mirage3–130.0213%16 Jul
dust213–11-0.017%13 Jul
mirage11–13-0.018%12 Jul
anubis13–10-0.0118%12 Jul
train13–40.018%12 Jul
inferno4–13-0.0114%11 Jul
mirage13–9-0.0312%11 Jul
dust28–13-0.0313%11 Jul
nuke13–110.0313%11 Jul
dust212–16-0.0414%6 Jul
ancient12–16-0.0012%5 Jul
dust213–100.0611%5 Jul
nuke13–50.0511%5 Jul
mirage2–13-0.0510%12 Jun
cache11–13-0.0413%12 Jun
nuke5–13-0.0825%31 May
mirage13–40.0613%31 May
dust213–11-0.0313%31 May
ancient6–13-0.059%31 May
dust213–60.0620%29 May
nuke13–110.025%25 May
cache1–13-0.074%22 May
anubis13–70.014%22 May
anubis6–130.0115%10 May
ancient13–9-0.0416%10 May
ancient15–150.0012%10 May
cache13–6-0.0016%10 May
nuke13–6-0.047%10 May
overpass4–13-0.056%7 May
cache5–13-0.0516%7 May
cache8–130.0318%6 May
cache13–5-0.0010%6 May
ancient14–160.009%21 Apr
overpass13–100.0012%21 Apr
dust24–13-0.0517%10 Apr
anubis13–40.0217%10 Apr
vertigo13–80.0011%10 Apr
nuke13–40.073%10 Apr
inferno10–13-0.026%10 Apr
train7–13-0.0214%10 Apr
train7–13-0.076%31 Mar
dust28–13-0.017%31 Mar
inferno11–130.027%21 Mar
nuke13–10.1214%21 Mar
ancient11–13-0.028%21 Mar
mirage13–110.0113%14 Mar
overpass13–50.0117%14 Mar
train5–13-0.0311%8 Mar
vertigo7–130.047%8 Mar
ancient7–13-0.0213%8 Mar
inferno13–80.069%8 Mar
dust24–13-0.0113%22 Feb
mirage13–80.0410%22 Feb

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →