free uwu giveaway — CS2 Stats

76561198158397151[U:1:198131423]

549Tracked matches43%Win rate2020Tracked since
1,243Hours in CS
CSDB Rating3.7 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 rate27.6%42.1%42.1%14.5% short
Shot accuracy16.1%12.9%12.1%above
Kill/death ratio1.001.000.99meets
Match win rate44.2%42.9%43.9%meets

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

Widest gap: Headshot rate. 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.

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CSDB.GGfree uwu giveawayFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning34
Utility61

0–100 skill scores via Leetify.

Recent form

COLD46459Last 10046%Win rateLLWWLLLTLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim3.9
Aggression4.1
Utility6.1
Positioning3.4
Opening Duels0.0

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 663ms 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

Aim3.9
Positioning3.4
Utility6.1
Mechanics4.5
Opening Duels0.1
Win Impact2.6

Composite 3.7/10 (Learning), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time662ms−18ms
first ⅓ avg 680ms → last ⅓ avg 662ms
Headshot accuracy13.6%+4.7%
first ⅓ avg 8.9% → last ⅓ avg 13.6%

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 — anubis 13–4
131Biggest win — inferno
4Longest win streak
L2Current streak
125In matches decided by ≤2 rounds
9Overtime games

Map breakdown

officeBest map · 67% over 9ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB178947%-0.01
anubisD1541127%-0.03
dust2B147750%-0.01
trainA106460%-0.03
officeS96367%-0.02
ancientD92722%-0.03
infernoB63350%-0.02
overpassB63350%-0.04
nukeA53260%-0.01
vertigoA53260%-0.01
cache41325%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,277Lifetime kills
1.00K/D
4,834Matches
44.2%Match win rate · Top 50% of Level 2 players
27.6%Headshot %
16.1%Shot accuracy · Top 50% of Level 2 players
6,732MVPs
1,243Hours (in match)
3,393Bombs planted
1,116Bombs defused

Most-used weapons

AK-4717,292
AWP2,886
MP92,692
P2501,619
Knife1,532

Lifetime map wins

3,300vertigo
3,256dust2
3,195nuke
2,548inferno
733cbble
707train
610lake
265office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.7%Headshot accuracy
29.7%Accuracy (enemy spotted)
35.3%Spray accuracy
70.2%Counter-strafing
10.2°Preaim
663msReaction time
30.7%T opening success
26.4%CT opening success
0.55Enemies flashed / flash
4.0%Flash assists
8.43HE damage / grenade
9.81Flashes / 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 13.7064% — below the 15% mark we flag

    Aim Training
  2. 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 30.7058% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0613%23 Jul
office6–13-0.0613%12 Jul
office13–20.013%12 Jul
dust213–8-0.049%12 Jul
dust28–13-0.0415%4 Jul
cache9–13-0.0411%4 Jul
inferno8–13-0.0711%4 Jul
overpass15–15-0.0719%24 Jun
anubis9–13-0.0316%24 Jun
anubis4–13-0.0711%24 Jun
inferno10–13-0.0214%24 Jun
ancient5–130.0423%18 Jun
train13–10-0.035%18 Jun
train6–13-0.066%18 Jun
dust213–90.0214%11 Jun
nuke13–11-0.019%11 Jun
mirage8–130.0319%11 Jun
overpass9–13-0.0413%3 Jun
ancient15–15-0.056%3 Jun
vertigo13–90.0514%3 Jun
ancient9–13-0.0526%3 Jun
ancient13–2-0.0227%3 Jun
mirage13–10-0.045%3 Jun
dust213–11-0.0013%2 Jun
dust213–60.0118%2 Jun
mirage8–13-0.0318%2 Jun
mirage5–13-0.0212%2 Jun
anubis11–13-0.0215%30 May
anubis13–40.1221%30 May
office13–6-0.0718%14 May
mirage13–7-0.0319%14 May
office5–10.085%14 May
office10–13-0.048%13 May
dust28–13-0.0213%7 May
cache12–12-0.0515%7 May
overpass13–9-0.039%7 May
cache4–130.028%7 May
cache13–10-0.039%1 May
nuke13–7-0.0211%1 May
train13–11-0.0217%26 Apr
train13–7-0.0211%26 Apr
dust23–130.0613%15 Apr
overpass8–13-0.0710%15 Apr
dust213–11-0.018%9 Apr
vertigo9–130.0519%9 Apr
vertigo13–5-0.049%8 Apr
inferno13–10.0020%1 Apr
anubis11–13-0.016%1 Apr
anubis11–13-0.069%1 Apr
ancient10–13-0.038%28 Mar
dust213–11-0.0127%28 Mar
mirage15–150.0017%27 Mar
ancient13–5-0.039%24 Mar
anubis12–16-0.0810%24 Mar
office13–110.0411%18 Mar
office13–8-0.099%18 Mar
dust23–13-0.0722%17 Mar
dust24–13-0.045%17 Mar
ancient13–16-0.077%17 Mar
overpass13–11-0.0219%11 Mar
mirage16–13-0.017%11 Mar
overpass13–100.018%11 Mar
mirage2–13-0.0412%11 Mar
nuke13–70.0314%11 Mar
dust213–7-0.0213%10 Mar
inferno7–13-0.0221%10 Mar
ancient4–13-0.0313%10 Mar
mirage15–15-0.027%10 Mar
mirage13–11-0.037%3 Mar
anubis13–11-0.033%3 Mar
mirage15–15-0.0210%3 Mar
mirage2–130.0111%3 Mar
anubis9–13-0.083%27 Feb
ancient11–13-0.0512%27 Feb
dust28–130.0213%27 Feb
inferno13–7-0.008%26 Feb
dust212–12-0.079%26 Feb
nuke5–13-0.058%26 Feb
mirage13–60.056%26 Feb
train13–70.0318%25 Feb
train5–13-0.087%25 Feb
mirage16–14-0.0113%24 Feb
mirage13–11-0.0410%23 Feb
mirage9–13-0.014%23 Feb
anubis13–10-0.016%23 Feb
vertigo13–5-0.058%17 Feb
vertigo7–13-0.0421%17 Feb
anubis5–13-0.1010%10 Feb
anubis13–60.0215%9 Feb
office13–9-0.0112%22 Jan
office7–13-0.088%22 Jan
train13–6-0.0312%6 Jan
train13–11-0.005%6 Jan
anubis12–12-0.077%21 Oct
anubis10–130.018%21 Oct
nuke12–120.0210%28 Sept
train11–13-0.0112%28 Sept
inferno13–1-0.010%28 Sept
mirage13–80.017%28 Sept
train6–13-0.047%16 Sept

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →