PORNHUB

PORNHUB — CS2 Stats

76561198005191062[U:1:44925334]Steam profile ↗

2,748Tracked matches63%Win rate2022Tracked since
3,787Hours in CS
CSDB Rating4.1 Developing
Premier CS Rating21,019Pink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#7156 of 18959 tracked
FaceitLevel 6 · 1,042 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

21,019Peak Premier on CSDB
1,042Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,042
  • Next: Level 5 at 1,051 9 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • At peak — 21,019
  • Next: Red band at 25,000 3,981 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGPORNHUBFACEITLevel 6 · 1,042 ELOSTANDINGTop 54.0% of rankedPREMIER21,019 · Pink bandPEAK ELO1,042csdb.gg/stats

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Performance scores

Aim28
Positioning39
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY56404Last 10056%Win rateLWTLWTWWWW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim2.8
Aggression2.2
Utility5.2
Positioning3.9
Opening Duels0.0
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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 36% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8
Positioning3.9
Utility5.2
Mechanics3.9
Opening Duels0.7
Win Impact9.3

Composite 4.1/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time653ms+29ms
first ⅓ avg 624ms → last ⅓ avg 653ms
Headshot accuracy8.8%+0.3%
first ⅓ avg 8.6% → last ⅓ avg 8.8%

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

0.11Best rating — dust2 13–5
130Biggest win — dust2
5Longest win streak
311In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 71% over 7nukeWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A37211657%-0.02
infernoB178947%-0.01
mirageA148657%-0.02
ancientA138562%-0.02
anubisA74357%-0.02
cacheS75271%0.01
nukeC52340%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,558Lifetime kills
0.86K/D
8,923Matches
43.9%Match win rate
26.1%Headshot %
10.8%Shot accuracy
15,990MVPs
3,787Hours (in match)
12,019Bombs planted
1,633Bombs defused

Most-used weapons

MP790,349
SCAR-208,726
AWP6,373
G3SG12,814
SSG 082,338
Knife2,253
P902,073
AK-472,055

Lifetime map wins

49,888dust2
11,343inferno
2,481nuke
1,275vertigo
885train
198italy
173office
75cbble

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

Faceit stats

Combat

338Matches
51%Win rate
0.91Avg K/D
72.0ADR
32%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust28060%0.9013.4
Mirage8050%0.9513.3
Ancient6144%0.8312.4
Inferno5954%1.0814.9
Anubis2450%0.8211.4
Nuke1656%0.799.6
Vertigo1331%0.7310.6
Overpass450%0.6511.3

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.

9.5%Headshot accuracy
30.2%Accuracy (enemy spotted)
44.0%Spray accuracy
67.6%Counter-strafing
14.0°Preaim
650msReaction time
15.9%T opening success
35.6%CT opening success
0.54Enemies flashed / flash
14.9%Flash assists
11.49HE damage / grenade
4.03Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.9961° — above the 12° mark we flag

    Aim Training
  2. 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 9.4624% — below the 15% mark we flag

    Aim Training
Spend your practice time on Nuke

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 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0016%12 Aug
dust213–8-0.026%12 Aug
mirage15–150.027%12 Aug
ancient7–13-0.0311%12 Aug
dust210–3-0.090%12 Aug
anubis15–15-0.0319%11 Aug
ancient13–80.029%11 Aug
dust213–60.035%11 Aug
mirage13–6-0.0110%11 Aug
mirage11–3-0.0011%11 Aug
dust27–13-0.045%11 Aug
inferno13–50.0411%11 Aug
ancient13–8-0.024%11 Aug
nuke14–16-0.0510%11 Aug
dust216–130.0112%11 Aug
mirage10–130.0110%10 Aug
inferno13–40.0311%10 Aug
ancient13–7-0.034%10 Aug
dust213–4-0.042%10 Aug
nuke13–100.0115%10 Aug
ancient13–70.026%10 Aug
dust210–130.0210%10 Aug
dust215–15-0.0317%10 Aug
dust24–10-0.044%10 Aug
dust213–100.0515%10 Aug
nuke13–6-0.0116%10 Aug
mirage13–6-0.035%10 Aug
dust21–6-0.059%10 Aug
dust211–13-0.073%9 Aug
inferno11–13-0.066%9 Aug
dust28–13-0.106%9 Aug
ancient13–7-0.075%9 Aug
cache13–20.0610%9 Aug
ancient13–60.058%9 Aug
mirage11–13-0.009%9 Aug
dust28–13-0.089%9 Aug
anubis10–20.007%9 Aug
ancient14–16-0.086%9 Aug
inferno6–13-0.0215%8 Aug
mirage13–16-0.097%8 Aug
inferno13–40.0016%8 Aug
ancient13–8-0.015%8 Aug
dust213–5-0.0210%8 Aug
dust213–90.0111%8 Aug
dust211–13-0.048%8 Aug
dust213–9-0.033%7 Aug
mirage13–10-0.041%7 Aug
cache12–16-0.027%7 Aug
anubis13–6-0.033%7 Aug
anubis8–13-0.0513%7 Aug
inferno13–40.0314%6 Aug
nuke9–13-0.0311%6 Aug
cache13–100.0114%6 Aug
dust213–8-0.0110%6 Aug
inferno10–130.0214%6 Aug
dust213–6-0.0612%6 Aug
dust211–13-0.0415%6 Aug
inferno10–130.0013%6 Aug
cache13–8-0.035%6 Aug
anubis15–15-0.0610%6 Aug
dust213–9-0.0111%6 Aug
cache13–80.019%6 Aug
inferno7–13-0.0713%3 Aug
inferno10–13-0.0311%3 Aug
cache13–80.018%3 Aug
dust216–14-0.0214%3 Aug
mirage13–100.005%3 Aug
dust213–4-0.059%3 Aug
inferno16–140.037%3 Aug
nuke6–13-0.062%3 Aug
mirage13–6-0.068%3 Aug
mirage13–8-0.049%3 Aug
anubis13–50.017%2 Aug
ancient13–8-0.0413%2 Aug
ancient6–13-0.036%2 Aug
dust214–16-0.0210%2 Aug
dust28–13-0.0014%2 Aug
inferno10–13-0.0113%23 Jul
ancient9–130.0115%23 Jul
dust211–13-0.019%22 Jul
dust213–60.0412%22 Jul
dust211–130.0011%22 Jul
inferno13–7-0.0810%21 Jul
inferno11–13-0.048%21 Jul
dust213–8-0.076%21 Jul
cache4–130.0314%21 Jul
mirage13–9-0.007%21 Jul
inferno13–11-0.0111%19 Jul
inferno13–70.085%19 Jul
mirage9–130.049%19 Jul
dust26–13-0.0711%19 Jul
dust213–50.115%19 Jul
dust213–100.0414%19 Jul
anubis13–70.033%19 Jul
inferno5–13-0.026%19 Jul
mirage8–13-0.056%18 Jul
dust25–13-0.025%18 Jul
dust213–80.024%18 Jul
dust213–70.004%18 Jul
dust213–0-0.0310%18 Jul

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 →