wvrpath0 — CS2 Stats

76561198998057352[U:1:1037791624]

1,947Tracked matches53%Win rate2022Tracked since
3,052Hours in CS1Hrs last 2 wks
CSDB Rating4.9 Developing
FaceitLevel 8 · 1,543 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGwvrpath0FACEITLevel 8 · 1,543 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning47
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateLWLWWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim5.6
Aggression4.0
Utility5.5
Positioning4.7
Opening Duels0.7
Clutch2.8

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 650ms 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

Aim5.6
Positioning4.7
Utility5.5
Mechanics6.6
Opening Duels1.0
Win Impact6.1

Composite 4.9/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time636ms+31ms
first ⅓ avg 604ms → last ⅓ avg 636ms
Headshot accuracy20.6%+4.9%
first ⅓ avg 15.8% → last ⅓ avg 20.6%

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

0.12Best rating — ancient 13–0
130Biggest win — ancient
8Longest win streak
96In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 63% over 16infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB26141254%0.01
dust2B21101148%-0.03
ancientA1610663%0.00
anubisA148657%0.00
infernoC104640%0.01
overpassC52340%-0.02
cache42250%0.03
nuke31233%-0.00
vertigo1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,440Lifetime kills
0.86K/D
2,583Matches
44.6%Match win rate
44.7%Headshot %
12.0%Shot accuracy
4,653MVPs
942Hours (in match)
2,544Bombs planted
570Bombs defused

Most-used weapons

Lifetime map wins

3,516inferno
2,438vertigo
1,905dust2
1,471nuke
294train
81lake
35cbble
10office

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

Faceit stats

Combat

368Matches
52%Win rate
0.95Avg K/D
68.2ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9555%1.0115.0
Anubis9153%0.9514.3
Ancient4551%0.8212.7
Vertigo4347%0.9514.5
Inferno3954%1.0215.1
Dust22446%0.7912.8
Overpass1182%1.1217.6
Nuke1040%0.7711.1

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.

17.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.4%Spray accuracy
79.6%Counter-strafing
11.6°Preaim
650msReaction time
27.4%T opening success
37.9%CT opening success
0.68Enemies flashed / flash
11.3%Flash assists
8.82HE damage / grenade
8.73Flashes / 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 27.3905% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0326%19 Aug
mirage13–9-0.0614%4 Aug
dust20–3-0.0267%14 Jul
cache13–110.0516%10 Jul
mirage13–110.0433%22 May
ancient13–00.1250%9 May
inferno13–40.0814%9 May
cache8–13-0.0421%9 May
cache2–13-0.027%2 May
cache13–90.1212%2 May
ancient13–50.0714%2 May
mirage13–110.0612%19 Apr
dust213–11-0.0716%16 Apr
overpass8–13-0.0516%9 Apr
inferno4–13-0.0223%8 Apr
vertigo6–13-0.0410%8 Apr
anubis12–160.019%8 Apr
anubis8–130.0218%8 Apr
ancient2–00.02100%7 Apr
anubis13–100.0012%6 Apr
dust21–13-0.0730%6 Apr
dust211–13-0.0611%3 Apr
ancient13–9-0.0421%2 Apr
mirage13–20.057%2 Apr
anubis13–100.0619%1 Apr
overpass13–50.0412%1 Apr
mirage13–70.0718%1 Apr
overpass10–13-0.0116%31 Mar
mirage10–13-0.0317%29 Mar
ancient9–13-0.0413%29 Mar
dust213–11-0.048%29 Mar
overpass13–10-0.056%27 Mar
mirage19–160.0015%25 Mar
anubis13–60.0527%25 Mar
nuke13–90.0714%25 Mar
mirage13–80.0719%21 Mar
mirage13–70.1018%21 Mar
ancient13–30.0128%21 Mar
overpass6–13-0.0319%21 Mar
anubis13–10-0.0215%19 Mar
dust25–13-0.067%19 Mar
ancient13–10-0.0716%18 Mar
ancient13–3-0.008%18 Mar
anubis13–16-0.0411%18 Mar
mirage8–13-0.0610%17 Mar
mirage7–130.0418%15 Mar
dust216–13-0.0218%15 Mar
dust216–14-0.0520%14 Mar
dust27–13-0.0420%14 Mar
ancient6–13-0.1111%14 Mar
mirage13–80.0115%13 Mar
anubis13–60.0215%13 Mar
dust213–60.0022%12 Mar
mirage13–100.0023%12 Mar
mirage5–13-0.0417%12 Mar
ancient3–13-0.0112%12 Mar
inferno13–60.0822%9 Mar
anubis13–5-0.0413%6 Mar
dust211–13-0.045%3 Mar
mirage7–110.005%1 Mar
dust213–8-0.0413%28 Feb
mirage7–130.0524%26 Feb
mirage5–13-0.0814%26 Feb
mirage7–13-0.0215%25 Feb
dust213–5-0.0117%25 Feb
dust217–190.0118%23 Feb
mirage13–16-0.0415%16 Feb
ancient13–10.0818%14 Feb
mirage10–130.0312%14 Feb
nuke1–13-0.0720%12 Feb
inferno9–130.0414%12 Feb
dust213–20.0222%12 Feb
dust213–70.0520%10 Feb
anubis13–8-0.0420%10 Feb
inferno6–13-0.0320%10 Feb
ancient6–13-0.0517%7 Feb
mirage13–90.0013%7 Feb
inferno13–5-0.0017%6 Feb
ancient8–80.0116%6 Feb
inferno8–130.0114%2 Feb
mirage13–110.088%2 Feb
mirage13–80.0110%2 Feb
ancient13–6-0.0511%1 Feb
ancient13–90.0514%31 Jan
dust21–13-0.0422%29 Jan
inferno11–13-0.0613%29 Jan
mirage13–20.0517%29 Jan
dust26–13-0.0717%29 Jan
anubis9–13-0.0121%27 Jan
anubis14–16-0.0214%25 Jan
inferno13–10.026%25 Jan
dust213–11-0.0822%25 Jan
dust29–13-0.0211%24 Jan
ancient13–160.0323%24 Jan
anubis13–80.0111%24 Jan
mirage9–13-0.038%24 Jan
anubis5–130.0524%22 Jan
nuke9–130.0021%19 Jan
inferno10–13-0.058%19 Jan
mirage8–13-0.0417%19 Jan

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 →