WindowsXP

WindowsXP — CS2 Stats

US76561199093926997[U:1:1133661269]Steam profile ↗✓ No bans

412Tracked matches25%Win rate2025Tracked since
267Hours in CS
CSDB Rating3.0 Learning
Premier CS Rating5,191Light Blue band · top ~77.9% of ranked players (population est.)
CSDB Leaderboard#44229 of 57874 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=1,073), 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 2 medianLevel 3 medianvs Level 3
Headshot rate43.1%40.9%41.8%above
Shot accuracy0.0%12.5%11.9%11.9% short
Kill/death ratio0.760.950.970.22 short
Match win rate39.9%42.4%43.5%3.6% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWindowsXPFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER5,191 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim23
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

COLD40555Last 10040%Win rateLLLLLLWWLL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Aim2.3
Aggression2.0
Utility5.4
Positioning3.7
Opening Duels0.0
Clutch7.4

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 66% 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

Reaction time. 721ms 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

Aim2.3
Positioning3.7
Utility5.4
Mechanics7.1
Opening Duels0.0
Win Impact0.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time721ms+29ms
first ⅓ avg 692ms → last ⅓ avg 721ms
Headshot accuracy13.2%+1.0%
first ⅓ avg 12.2% → last ⅓ avg 13.2%

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

0.18Best rating — mirage 13–4
132Biggest win — mirage
6Longest win streak
L6Current streak
36In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 64% over 11ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D36112531%-0.03
mirageB23121152%-0.02
nukeA127558%-0.04
infernoA117464%-0.03
cacheD102820%-0.05
ancientD5050%-0.07
anubis31233%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,469Lifetime kills
0.76K/D
812Matches
39.9%Match win rate
43.1%Headshot % · Top 50% of Level 2 players
0.0%Shot accuracy
1,570MVPs
267Hours (in match)
682Bombs planted
143Bombs defused

Most-used weapons

Lifetime map wins

3,062dust2
932inferno
607nuke
257vertigo
51train
28office
10italy
1ar_baggage

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

Faceit stats

Combat

39Matches
44%Win rate
0.61Avg K/D
55.9ADR
39%Headshot %

Clutches & streaks

57%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust21030%0.609.5
Mirage978%0.568.4
Ancient757%0.7210.0
Nuke520%0.6010.4
Inferno333%0.447.7
Anubis250%0.8110.5
Cache20%0.345.5
Vertigo10%1.0021.0

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.

13.3%Headshot accuracy
24.1%Accuracy (enemy spotted)
23.0%Spray accuracy
81.8%Counter-strafing
10.9°Preaim
721msReaction time
28.1%T opening success
25.7%CT opening success
0.62Enemies flashed / flash
11.7%Flash assists
10.05HE damage / grenade
7.35Flashes / 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 13.2804% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 720.9007ms — above the 700ms mark we flag

    Aim Training
  3. 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 28.0773% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0224%31 Aug
mirage0–6-0.050%30 Aug
dust27–13-0.0521%30 Aug
ancient6–13-0.0412%29 Aug
ancient14–16-0.0310%23 Aug
dust28–13-0.1017%19 Aug
dust213–7-0.0514%19 Aug
dust213–3-0.0221%16 Aug
nuke10–13-0.0622%16 Aug
dust210–13-0.098%16 Aug
mirage8–13-0.0412%16 Aug
inferno13–8-0.0311%16 Aug
mirage1–13-0.0915%16 Aug
inferno12–12-0.119%14 Aug
dust24–13-0.068%9 Aug
anubis13–80.0315%6 Aug
dust213–4-0.0112%6 Aug
mirage10–130.0510%5 Aug
mirage13–40.1825%5 Aug
dust28–130.0413%4 Aug
nuke7–13-0.0010%4 Aug
dust25–13-0.080%4 Aug
dust25–9-0.036%3 Aug
dust27–13-0.0413%3 Aug
mirage13–6-0.060%3 Aug
mirage11–130.018%2 Aug
dust25–13-0.0223%2 Aug
nuke12–12-0.0610%1 Aug
dust210–13-0.0621%1 Aug
dust24–13-0.0216%31 Jul
anubis1–13-0.0126%31 Jul
nuke4–13-0.0916%31 Jul
inferno9–5-0.029%31 Jul
dust29–13-0.019%30 Jul
ancient4–9-0.1211%30 Jul
dust210–13-0.0219%30 Jul
dust25–13-0.1021%29 Jul
cache11–13-0.0510%29 Jul
inferno8–20.0112%29 Jul
mirage13–10-0.0613%29 Jul
dust26–13-0.0519%29 Jul
ancient3–13-0.120%29 Jul
nuke9–13-0.0713%29 Jul
ancient14–16-0.0514%29 Jul
cache6–13-0.0920%28 Jul
anubis15–15-0.0531%28 Jul
nuke9–5-0.0327%28 Jul
cache9–130.0118%28 Jul
dust213–7-0.0212%28 Jul
dust26–13-0.0335%27 Jul
mirage3–9-0.110%27 Jul
mirage13–6-0.0625%27 Jul
mirage9–13-0.0121%27 Jul
dust29–130.0315%27 Jul
cache10–130.0113%27 Jul
dust213–50.0337%27 Jul
mirage13–2-0.0519%26 Jul
mirage13–10-0.0210%26 Jul
inferno13–110.0112%26 Jul
dust213–4-0.036%26 Jul
nuke13–10-0.0612%26 Jul
inferno7–13-0.0229%26 Jul
mirage13–2-0.0116%26 Jul
dust213–10-0.098%26 Jul
mirage12–120.0220%26 Jul
cache11–13-0.059%25 Jul
cache13–10-0.0313%25 Jul
dust28–13-0.0217%25 Jul
mirage12–16-0.0910%25 Jul
mirage13–60.0217%24 Jul
nuke13–7-0.0810%24 Jul
inferno13–40.0211%24 Jul
dust211–13-0.055%23 Jul
dust216–14-0.0412%23 Jul
inferno4–9-0.160%23 Jul
inferno13–40.046%23 Jul
cache6–13-0.0718%23 Jul
mirage7–130.108%22 Jul
nuke13–2-0.018%22 Jul
mirage13–8-0.0013%22 Jul
dust27–13-0.0622%22 Jul
cache6–13-0.0611%22 Jul
dust27–130.0513%22 Jul
dust213–4-0.037%21 Jul
cache7–13-0.0911%21 Jul
inferno13–80.0511%21 Jul
dust25–130.0413%21 Jul
mirage13–9-0.0213%21 Jul
inferno7–13-0.122%20 Jul
dust25–13-0.0520%20 Jul
dust213–10-0.0122%20 Jul
nuke13–4-0.049%19 Jul
mirage15–15-0.0613%19 Jul
nuke13–11-0.0218%19 Jul
mirage13–6-0.029%19 Jul
dust23–13-0.0331%19 Jul
cache13–6-0.0714%19 Jul
nuke7–00.0511%19 Jul
dust213–80.0314%19 Jul
mirage13–10-0.046%18 Jul

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 →