ping

ping — CS2 Stats

TN76561198770346166[U:1:810080438]Steam profile ↗✓ No bans

1,294Tracked matches40%Win rate2020Tracked since
CSDB Rating5.9 SolidAll-Rounder
FaceitLevel 10 · 2,090 ELOTop 12.4% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,090 → 2,090
+14Tracked matches · now 1,294
−3.3ppWin rate · 43.3% → 40.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 77 days played since 19 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,418 +918 11 Dec13 Jan · 8 days played
16,50018,358peak 18,35811 Dec13 Jan
Faceit ELO: 2,090 +0 1 Sept11 Sept · 2 observations
2,0902,090peak 2,0901 Sept11 Sept
18,358Peak Premier in tracked matches
2,090Highest Faceit ELO seen on CSDB
77Days played since 2025-11-19

Faceit ELO

  • At peak — 2,090
  • Next: 2,500 ELO at 2,500 410 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGpingFACEITLevel 10 · 2,090 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,090csdb.gg/stats

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Performance scores

Aim84
Positioning52
Utility50

0–100 skill scores via Leetify.

Recent form

COLD43561Last 10043%Win rateLLLLLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −3.9pp headshot accuracy · −132ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 519ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 502ms

Last 20

  • 713 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 568ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim8.4
Utility5.0
Positioning5.2
Opening Duels3.6
Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 571ms 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

Aim8.4
Positioning5.2
Utility5.0
Mechanics7.6
Opening Duels2.7
Win Impact1.7

Composite 5.9/10 (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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time571ms−32ms
first ⅓ avg 603ms → last ⅓ avg 571ms
Headshot accuracy25.6%+3.7%
first ⅓ avg 21.9% → last ⅓ avg 25.6%

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.

Personal bests

0.10Best match rating · 13–8 · nuke, 10 Aug
54%Best headshot accuracy · 5–13 · ancient, 2 Apr
375msFastest reaction time · 4–13 · ancient, 17 Aug
13–3Biggest win · ancient, 24 Feb

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 64% over 11anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2D2882029%-0.00
mirageB24121250%0.00
ancientC146843%-0.00
infernoA117464%0.04
nukeA106460%-0.01
anubisD81713%-0.03
cache21150%0.02
overpass220100%-0.03
train1010%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,773Matches
52%Win rate
1.04Avg K/D
75.5ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage45152%0.9714.5
Dust235954%1.0215.5
Ancient23752%1.0014.8
Inferno18550%0.9614.2
Anubis13042%0.9014.0
Nuke10452%1.1315.9
Vertigo4753%1.1717.3
Overpass2650%1.0014.3

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.

25.2%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.6%Spray accuracy
84.2%Counter-strafing
8.9°Preaim
571msReaction time
33.2%T opening success
48.1%CT opening success
0.60Enemies flashed / flash
9.3%Flash assists
7.41HE damage / grenade
6.09Flashes / 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 33.2493% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0520%17 Sept
inferno5–13-0.0223%16 Sept
ancient4–13-0.0325%29 Aug
dust216–19-0.0520%24 Aug
dust27–13-0.0223%22 Aug
mirage13–80.0312%20 Aug
ancient4–13-0.0237%17 Aug
dust213–50.0230%16 Aug
dust210–13-0.0230%16 Aug
anubis4–13-0.0523%13 Aug
anubis8–13-0.0520%13 Aug
cache11–130.0121%12 Aug
dust26–130.0640%11 Aug
nuke13–80.1037%10 Aug
dust210–130.0824%5 Aug
mirage13–60.0134%31 Jul
inferno10–130.0423%31 Jul
inferno13–40.0735%31 Jul
cache13–70.0225%29 Jul
nuke13–7-0.0423%27 Jul
mirage13–100.0924%23 Jul
ancient10–13-0.0327%21 Jul
anubis3–13-0.0125%18 Jul
nuke25–220.0128%16 Jul
mirage6–130.0234%15 Jul
dust211–13-0.0416%14 Jul
mirage13–70.0723%12 Jul
mirage13–8-0.0113%9 Jul
anubis13–70.0020%26 Jun
anubis11–13-0.0329%22 Jun
anubis10–13-0.0127%22 Jun
inferno13–80.0635%12 Jun
mirage8–13-0.0020%12 Jun
dust27–13-0.0312%11 Jun
ancient13–7-0.0432%31 May
inferno10–13-0.0215%13 May
mirage16–130.0522%12 May
ancient8–13-0.0925%7 May
dust26–130.0330%6 May
dust213–50.0621%29 Apr
dust26–13-0.085%29 Apr
dust213–9-0.0316%28 Apr
anubis6–13-0.0516%27 Apr
inferno13–60.0724%23 Apr
anubis13–16-0.0513%15 Apr
dust24–13-0.0316%2 Apr
nuke13–70.0329%2 Apr
mirage13–60.0119%2 Apr
ancient13–90.0121%2 Apr
ancient5–130.0254%2 Apr
inferno13–11-0.0115%31 Mar
dust220–220.0020%24 Mar
mirage4–13-0.0825%21 Mar
inferno13–110.0217%21 Mar
dust212–16-0.0021%20 Mar
dust213–60.0326%17 Mar
dust213–100.0919%17 Mar
dust213–70.0922%15 Mar
nuke13–8-0.0527%28 Feb
dust211–130.0321%25 Feb
ancient13–30.0310%24 Feb
nuke10–13-0.0118%18 Feb
dust29–13-0.0531%17 Feb
dust24–13-0.0417%16 Feb
mirage13–11-0.0311%16 Feb
nuke13–60.0325%14 Feb
ancient10–130.0517%14 Feb
mirage11–13-0.0116%5 Feb
ancient13–11-0.0119%4 Feb
mirage4–13-0.0532%3 Feb
inferno6–130.0826%13 Jan
dust213–70.0424%12 Jan
mirage15–15-0.0024%11 Jan
mirage5–13-0.072%31 Dec
nuke2–13-0.0324%31 Dec
inferno13–110.0322%28 Dec
mirage13–9-0.0220%27 Dec
dust29–130.0429%27 Dec
mirage10–13-0.0132%26 Dec
ancient13–80.0423%25 Dec
dust29–13-0.0421%25 Dec
ancient13–80.0632%22 Dec
train7–13-0.0324%21 Dec
mirage7–13-0.0226%20 Dec
mirage16–14-0.0121%20 Dec
mirage13–80.0825%14 Dec
mirage13–40.1030%11 Dec
overpass13–4-0.0321%8 Dec
dust213–11-0.0524%3 Dec
ancient10–130.0322%2 Dec
mirage9–13-0.0322%2 Dec
dust27–13-0.0621%1 Dec
dust24–13-0.0614%1 Dec
ancient2–13-0.085%1 Dec
overpass13–10-0.0316%26 Nov
mirage7–13-0.0318%25 Nov
nuke2–13-0.1238%24 Nov
nuke8–13-0.0126%23 Nov
dust28–130.0213%19 Nov
inferno9–70.0813%19 Nov

Match data via Leetify.

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →