Pixie — CS2 Stats

76561198206820116[U:1:246554388]

4,154Tracked matches48%Win rate2020Tracked since
3,465Hours in CS
CSDB Rating4.9 Developing
Premier CS Rating18,659Purple band · top ~13.8% of ranked players (population est.)
CSDB Leaderboard#11791 of 23723 tracked
FaceitLevel 6 · 1,215 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 6 medianLevel 7 medianvs Level 7
Headshot rate41.0%44.9%46.2%5.2% short
Shot accuracy13.5%11.8%12.5%above
Kill/death ratio0.971.041.060.09 short
Match win rate47.4%45.3%45.9%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPixieFACEITLevel 6 · 1,215 ELOSTANDINGTop 54.0% of rankedPREMIER18,659 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning44
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY43534Last 10043%Win rateLWTWWLWLWL

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.9
Aggression4.9
Utility6.1
Positioning4.4
Opening Duels0.7
Clutch4.0

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 588ms 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

Aim5.9
Positioning4.4
Utility6.1
Mechanics5.7
Opening Duels0.7
Win Impact4.4

Composite 4.9/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time590ms−17ms
first ⅓ avg 608ms → last ⅓ avg 590ms
Headshot accuracy17.0%+0.3%
first ⅓ avg 16.7% → last ⅓ avg 17.0%

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

0.10Best rating — ancient 13–4
131Biggest win — inferno
5Longest win streak
67In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 53% over 17anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB25121348%-0.01
ancientB22101245%-0.00
nukeB179853%-0.02
cacheC145936%0.00
anubisD134931%-0.02
dust2C52340%-0.05
mirage2020%-0.06
vertigo21150%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

142,367Lifetime kills
0.97K/D
7,994Matches
47.4%Match win rate · Top 50% of Level 6 players
41.0%Headshot %
13.5%Shot accuracy · Top 50% of Level 6 players
15,082MVPs
3,465Hours (in match)
6,857Bombs planted
1,904Bombs defused

Most-used weapons

AK-4736,082
AWP12,715
MAC-106,834
AUG5,198
MP94,810
SG 5534,242

Lifetime map wins

22,402inferno
16,511nuke
10,624dust2
7,627vertigo
1,743train
53office
53lake
29italy

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

Faceit stats

Combat

668Matches
49%Win rate
0.94Avg K/D
73.5ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno15449%0.9313.8
Nuke12461%1.0214.7
Ancient9951%0.9114.4
Vertigo4755%0.9514.4
Overpass4540%0.8613.7
Anubis2544%0.9012.8
Train2218%0.8213.9
Mirage2020%0.6912.0

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.

17.1%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.6%Spray accuracy
75.5%Counter-strafing
11.6°Preaim
588msReaction time
33.7%T opening success
32.1%CT opening success
0.50Enemies flashed / flash
5.8%Flash assists
10.19HE damage / grenade
12.70Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4978 — below the 0.5 mark we flag

    Grenade Lineups
  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 33.6523% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–130.0021%28 Aug
nuke13–9-0.0711%28 Aug
ancient15–150.0114%27 Aug
anubis13–9-0.0110%27 Aug
inferno13–40.018%27 Aug
mirage8–13-0.0629%27 Aug
dust216–14-0.0425%27 Aug
inferno8–13-0.0621%27 Aug
ancient13–70.028%27 Aug
inferno10–130.0220%27 Aug
ancient13–70.0126%27 Aug
ancient13–40.1027%26 Aug
nuke11–13-0.0117%26 Aug
inferno8–13-0.0213%26 Aug
anubis8–13-0.0415%26 Aug
nuke13–11-0.0211%26 Aug
ancient13–90.0118%26 Aug
anubis2–13-0.0121%24 Aug
ancient5–13-0.0623%24 Aug
cache2–13-0.0919%24 Aug
ancient10–130.0019%24 Aug
inferno2–13-0.099%24 Aug
anubis6–13-0.0717%21 Aug
inferno13–100.0321%21 Aug
cache10–130.0814%21 Aug
nuke5–13-0.083%20 Aug
inferno13–80.016%20 Aug
ancient12–20.0432%20 Aug
cache13–90.0726%20 Aug
anubis13–110.0413%20 Aug
inferno2–13-0.1122%20 Aug
inferno15–150.0115%19 Aug
cache6–13-0.0510%19 Aug
nuke6–13-0.0513%19 Aug
ancient10–13-0.0114%18 Aug
inferno13–8-0.0416%18 Aug
cache7–13-0.028%18 Aug
inferno9–13-0.0629%18 Aug
nuke13–7-0.0415%18 Aug
ancient13–50.0329%18 Aug
anubis12–160.0015%18 Aug
inferno13–11-0.0319%17 Aug
vertigo10–13-0.0215%17 Aug
nuke7–13-0.0324%17 Aug
cache13–100.0120%17 Aug
inferno13–11-0.039%17 Aug
inferno11–130.0622%17 Aug
nuke5–13-0.0710%17 Aug
inferno13–90.0317%14 Aug
anubis13–20.028%14 Aug
ancient13–11-0.085%13 Aug
nuke13–10-0.0112%13 Aug
ancient7–13-0.0933%13 Aug
anubis15–15-0.0216%13 Aug
nuke10–1-0.0122%13 Aug
ancient13–70.0713%13 Aug
inferno13–10.0315%13 Aug
inferno9–13-0.0723%12 Aug
cache13–9-0.0120%12 Aug
dust22–13-0.1211%12 Aug
inferno13–7-0.0121%11 Aug
nuke13–60.0323%11 Aug
anubis6–13-0.0513%11 Aug
dust25–130.0123%11 Aug
inferno13–90.0123%11 Aug
ancient14–160.0215%11 Aug
cache9–130.0213%11 Aug
inferno10–130.0318%10 Aug
ancient13–60.0418%10 Aug
ancient5–13-0.0512%10 Aug
inferno4–130.0118%10 Aug
nuke13–60.0618%9 Aug
nuke16–130.047%8 Aug
inferno13–5-0.0011%8 Aug
vertigo13–20.0315%8 Aug
dust213–7-0.0312%8 Aug
cache7–130.0120%7 Aug
ancient13–10-0.0422%7 Aug
nuke11–13-0.0216%7 Aug
cache5–13-0.0228%7 Aug
cache13–60.0826%7 Aug
nuke7–13-0.0511%7 Aug
anubis6–13-0.0720%6 Aug
mirage11–13-0.0714%6 Aug
anubis8–13-0.058%6 Aug
ancient4–13-0.0217%6 Aug
cache5–13-0.0226%6 Aug
anubis7–130.0117%5 Aug
ancient11–130.0313%5 Aug
cache14–160.0323%5 Aug
nuke3–13-0.0610%3 Aug
anubis13–4-0.0523%3 Aug
inferno6–13-0.0515%3 Aug
ancient3–13-0.0911%3 Aug
inferno13–50.0734%3 Aug
dust215–15-0.0621%2 Aug
ancient10–130.0411%2 Aug
ancient9–130.0014%31 Jul
nuke13–80.0113%31 Jul
cache13–8-0.0313%31 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 →