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Foxeriin0 — CS2 Stats

76561197990389929[U:1:30124201]

1,697Tracked matches64%Win rate2020Tracked since
4,291Hours in CS34Hrs last 2 wks
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating19,672Purple band · top ~9.8% of ranked players (population est.)
CSDB Leaderboard#20916 of 51004 tracked
FaceitLevel 6 · 1,303 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=1,571), 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 rate47.4%44.7%46.1%above
Shot accuracy14.3%11.9%12.6%above
Kill/death ratio1.001.041.050.06 short
Match win rate44.4%45.2%45.7%1.3% short

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

Widest gap: Kill/death ratio. 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.GGFoxeriin0FACEITLevel 6 · 1,303 ELOSTANDINGTop 54.0% of rankedPREMIER19,672 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning50
Utility61

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateLLWWLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3
Aggression7.0
Utility6.1
Positioning5.0
Opening Duels2.3
Clutch3.0

Limited utility dependence

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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. 637ms 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

Aim6.3
Positioning5.0
Utility6.1
Mechanics5.7
Opening Duels2.3
Win Impact9.8

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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time638ms−2ms
first ⅓ avg 640ms → last ⅓ avg 638ms
Headshot accuracy24.5%+3.2%
first ⅓ avg 21.3% → last ⅓ avg 24.5%

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

0.24Best rating — inferno 9–1
13–1Biggest win — dust2
6Longest win streak
L2Current streak
5–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 64% over 22infernoWeakest map · 44% over 25
MapGradePlayedRecordWin rateAvg rating
infernoC2511–1444%0.01
ancientA2214–864%0.01
anubisA1610–663%0.01
dust2B147–750%-0.00
nukeB105–550%0.01
cacheB84–450%0.00
mirage—30–30%-0.02
train—10–10%0.03
overpass—10–10%-0.23

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,119Lifetime kills
1.00K/D
6,108Matches
44.4%Match win rate
47.4%Headshot % · Top 50% of Level 6 players
14.3%Shot accuracy · Top 50% of Level 6 players
11,993MVPs
2,393Hours (in match)
4,980Bombs planted
1,500Bombs defused

Most-used weapons

AK-4736,792
M4A4 / M4A1-S18,985
P2000 / USP-S5,324
Glock-184,161
Desert Eagle3,341
FAMAS3,227
Galil AR2,669
MP72,577
P902,434
SG 5532,281

Lifetime map wins

11,081dust2
10,073inferno
5,660nuke
1,744train
1,295cbble
551vertigo
441office
88lake

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

Faceit stats

Combat

559Matches
49%Win rate
0.94Avg K/D
71.6ADR
46%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient7948%0.9814.6
Inferno5848%0.9914.3
Dust25240%0.9814.1
Nuke4448%0.8814.1
Overpass4062%1.0214.4
Anubis2335%1.0516.4
Mirage1242%1.0215.1
Cache1145%0.9913.9

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.

24.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.4%Spray accuracy
75.8%Counter-strafing
10.4°Preaim
637msReaction time
40.4%T opening success
38.0%CT opening success
0.68Enemies flashed / flash
12.1%Flash assists
10.74HE damage / grenade
4.60Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.9759% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

44% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0517%30 Aug →
cache8–130.0542%30 Aug →
inferno13–20.0836%29 Aug →
anubis13–11-0.0424%29 Aug →
inferno9–130.0230%28 Aug →
ancient13–80.0836%28 Aug →
inferno13–5-0.0119%28 Aug →
cache13–100.0119%28 Aug →
nuke13–100.0420%27 Aug →
ancient13–40.0518%27 Aug →
inferno9–13-0.0017%27 Aug →
anubis6–130.0026%27 Aug →
inferno13–4-0.0123%24 Aug →
ancient13–7-0.0235%24 Aug →
ancient13–50.0822%23 Aug →
inferno10–130.0242%21 Aug →
inferno4–13-0.0536%20 Aug →
dust28–13-0.0420%20 Aug →
dust212–12-0.0215%20 Aug →
inferno13–90.0520%18 Aug →
ancient13–80.0535%18 Aug →
anubis13–60.1622%18 Aug →
ancient16–120.0327%18 Aug →
dust213–10-0.0222%17 Aug →
inferno7–13-0.0024%17 Aug →
dust213–30.0532%17 Aug →
nuke16–140.0117%16 Aug →
ancient13–3-0.0119%16 Aug →
inferno4–9-0.1333%16 Aug →
dust28–13-0.0118%16 Aug →
train12–120.0317%16 Aug →
ancient11–13-0.028%15 Aug →
inferno2–9-0.1619%15 Aug →
dust213–9-0.0026%14 Aug →
inferno5–90.0014%14 Aug →
ancient13–10-0.1110%13 Aug →
inferno9–130.0410%13 Aug →
nuke13–100.0820%13 Aug →
ancient13–110.0031%13 Aug →
dust213–80.0026%13 Aug →
overpass0–9-0.230%12 Aug →
inferno9–30.1129%12 Aug →
dust27–13-0.0527%12 Aug →
inferno14–16-0.0219%11 Aug →
dust213–8-0.0119%11 Aug →
cache5–13-0.0519%11 Aug →
anubis5–13-0.0413%11 Aug →
anubis13–30.0447%6 Aug →
cache13–10-0.0524%6 Aug →
cache7–13-0.0130%6 Aug →
ancient13–100.0431%6 Aug →
inferno7–00.0429%6 Aug →
inferno7–13-0.0613%6 Aug →
nuke13–50.0523%5 Aug →
anubis12–12-0.0120%5 Aug →
anubis13–6-0.0221%5 Aug →
anubis13–8-0.0023%5 Aug →
dust27–130.0126%5 Aug →
anubis13–16-0.0214%4 Aug →
inferno9–10.2416%4 Aug →
dust28–13-0.0230%4 Aug →
ancient8–13-0.0417%4 Aug →
ancient8–130.0211%4 Aug →
anubis2–13-0.0633%4 Aug →
ancient9–13-0.0020%3 Aug →
inferno13–50.0625%3 Aug →
inferno11–130.0231%2 Aug →
ancient8–13-0.0114%2 Aug →
nuke10–13-0.0413%2 Aug →
anubis13–110.0112%2 Aug →
inferno13–70.1328%2 Aug →
cache13–80.0022%2 Aug →
mirage6–13-0.0317%2 Aug →
dust27–13-0.0439%2 Aug →
ancient13–11-0.0522%2 Aug →
cache10–130.0639%1 Aug →
ancient7–130.0216%1 Aug →
mirage12–16-0.0123%1 Aug →
nuke11–130.0321%1 Aug →
ancient13–30.0612%1 Aug →
inferno6–9-0.0743%1 Aug →
inferno9–50.0011%1 Aug →
nuke6–9-0.0122%1 Aug →
anubis7–13-0.0517%1 Aug →
cache13–70.0115%1 Aug →
anubis13–100.0429%31 Jul →
ancient10–130.0414%31 Jul →
nuke13–60.0113%31 Jul →
ancient13–50.0138%31 Jul →
inferno16–120.0431%31 Jul →
anubis13–60.1125%30 Jul →
anubis13–50.0121%30 Jul →
dust213–10.0424%30 Jul →
nuke11–13-0.0114%30 Jul →
mirage9–13-0.0319%30 Jul →
ancient13–60.0519%28 Jul →
inferno5–13-0.0512%28 Jul →
dust213–30.0816%28 Jul →
ancient4–13-0.0110%28 Jul →
anubis13–80.0333%28 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 →

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