Y=mx+b — CS2 Stats

76561198139076002[U:1:178810274]

1,013Tracked matches34%Win rate2022Tracked since
3,996Hours in CS62Hrs last 2 wks
CSDB Rating5.7 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 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate41.1%52.8%11.7% short
Shot accuracy9.5%13.7%4.2% short
Kill/death ratio1.021.080.07 short
Match win rate46.0%49.2%3.2% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. 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.

Share this profile

CSDB.GGY=mx+bFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

COLD42562Last 10042%Win rateLLLLLLLLLW

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

Player DNA

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

Aim7.8
Aggression7.0
Utility6.0
Positioning5.9
Opening Duels2.2
Clutch3.8

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.8
Positioning5.9
Utility6.0
Mechanics7.2
Opening Duels2.2
Win Impact0.0

Composite 5.7/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time532ms−71ms
first ⅓ avg 603ms → last ⅓ avg 532ms
Headshot accuracy15.6%+0.9%
first ⅓ avg 14.7% → last ⅓ avg 15.6%

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 — dust2 13–8
131Biggest win — inferno
5Longest win streak
L9Current streak
117In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 60% over 5anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C30121840%0.01
mirageB20101050%0.01
anubisD112918%-0.01
cacheB115645%0.01
ancientB115645%-0.00
infernoC94544%0.02
nukeA53260%0.04
train31233%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,689Lifetime kills
1.02K/D
2,246Matches
46.0%Match win rate
41.1%Headshot %
9.5%Shot accuracy
4,982MVPs
978Hours (in match)
1,934Bombs planted
655Bombs defused

Most-used weapons

Lifetime map wins

7,498dust2
1,525inferno
1,345nuke
549vertigo
363train
51office
41cbble
28lake

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

Faceit stats

Combat

206Matches
55%Win rate
1.08Avg K/D
78.8ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5659%1.1715.8
Dust25456%1.0415.7
Ancient2662%1.0515.8
Anubis2241%1.1915.9
Cache1958%1.1415.0
Inferno1443%0.9514.3
Nuke1267%0.8616.1
Overpass30%0.9517.3

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.

15.1%Headshot accuracy
36.2%Accuracy (enemy spotted)
42.5%Spray accuracy
82.3%Counter-strafing
9.9°Preaim
532msReaction time
38.0%T opening success
39.7%CT opening success
0.56Enemies flashed / flash
3.6%Flash assists
11.95HE damage / grenade
12.34Flashes / 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 37.9841% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0422%27 Aug
dust28–130.0319%26 Aug
mirage7–130.0515%26 Aug
anubis9–130.0418%25 Aug
anubis4–130.0126%25 Aug
mirage5–13-0.0912%24 Aug
anubis13–160.009%24 Aug
mirage5–13-0.049%23 Aug
mirage9–130.009%23 Aug
mirage13–90.0211%23 Aug
mirage16–12-0.057%22 Aug
inferno13–30.0417%22 Aug
anubis13–110.028%22 Aug
inferno7–130.0121%21 Aug
dust22–9-0.0717%20 Aug
train2–130.0721%19 Aug
mirage13–30.005%18 Aug
mirage3–130.0023%18 Aug
dust213–110.1227%18 Aug
anubis2–7-0.088%17 Aug
dust213–100.0317%17 Aug
cache13–20.0211%16 Aug
train13–30.0914%16 Aug
dust210–130.0211%16 Aug
dust212–120.0123%14 Aug
dust26–13-0.0414%13 Aug
inferno13–10.0512%13 Aug
mirage10–13-0.0326%13 Aug
dust29–130.0915%13 Aug
dust29–130.038%13 Aug
nuke6–70.0821%12 Aug
dust213–80.1417%12 Aug
train3–13-0.0223%12 Aug
anubis11–13-0.0315%12 Aug
inferno13–90.0910%12 Aug
dust213–80.0216%12 Aug
ancient6–130.0525%12 Aug
cache13–110.0213%12 Aug
nuke13–110.0912%12 Aug
mirage13–16-0.0017%10 Aug
anubis2–13-0.058%9 Aug
dust211–130.0026%9 Aug
dust213–8-0.0013%8 Aug
nuke13–60.0519%8 Aug
cache13–30.0416%8 Aug
mirage11–13-0.0211%6 Aug
mirage13–60.0523%5 Aug
dust213–10-0.0324%5 Aug
ancient13–9-0.029%5 Aug
mirage13–90.0018%5 Aug
ancient16–14-0.0712%5 Aug
inferno9–13-0.034%3 Aug
dust213–10.039%2 Aug
mirage13–70.0013%2 Aug
anubis13–100.029%2 Aug
dust27–130.0817%31 Jul
cache8–130.0616%26 Jul
ancient5–130.0514%26 Jul
cache13–110.0019%26 Jul
inferno8–130.0119%23 Jul
dust213–11-0.0217%22 Jul
cache17–19-0.067%22 Jul
ancient8–13-0.0323%22 Jul
inferno11–13-0.0116%21 Jul
cache5–130.0910%19 Jul
cache4–13-0.0232%16 Jul
mirage5–13-0.0616%16 Jul
dust213–70.038%14 Jul
ancient8–130.0415%13 Jul
dust212–16-0.0512%9 Jul
cache13–110.0023%8 Jul
mirage13–50.0220%8 Jul
dust27–13-0.0110%8 Jul
ancient6–13-0.0513%8 Jul
dust213–100.0921%8 Jul
anubis7–13-0.018%2 Jul
mirage13–60.088%2 Jul
dust23–13-0.0619%1 Jul
mirage11–130.0314%1 Jul
inferno13–50.0013%1 Jul
mirage13–70.0415%27 Jun
ancient13–110.0211%27 Jun
inferno6–13-0.025%24 Jun
mirage13–30.1116%24 Jun
dust29–13-0.0215%21 Jun
dust29–13-0.0313%20 Jun
nuke13–16-0.0513%18 Jun
dust24–9-0.0315%15 Jun
cache12–12-0.0213%15 Jun
dust213–4-0.0023%15 Jun
ancient13–80.0417%15 Jun
dust210–13-0.039%14 Jun
ancient13–110.0121%13 Jun
dust27–130.0417%13 Jun
cache5–13-0.0215%13 Jun
anubis3–12-0.0621%4 Jun
anubis9–13-0.0113%3 Jun
dust213–7-0.0110%2 Jun
nuke13–110.0321%2 Jun
ancient5–13-0.0617%1 Jun

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 →