Furry Lover — CS2 Stats

76561199170384753[U:1:1210119025]✓ No bans

258Tracked matches52%Win rate2023Tracked since
220Hours in CS
CSDB Rating4.0 Developing
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=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 rate55.1%42.1%42.1%above
Shot accuracy5.4%12.9%12.1%6.7% short
Kill/death ratio0.741.000.990.25 short
Match win rate42.5%42.9%43.9%1.4% 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.GGFurry LoverFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning34
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY44506Last 10044%Win rateLLLWLWTWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.1
Aggression0.4
Utility4.5
Positioning3.4
Opening Duels0.0
Clutch0.0

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 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

T-side openings. Opening success drops from 36% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 722ms 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

Aim4.1
Positioning3.4
Utility4.5
Mechanics5.4
Opening Duels0.8
Win Impact5.6

Composite 4.0/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time708ms+0ms
first ⅓ avg 707ms → last ⅓ avg 708ms
Headshot accuracy22.3%−4.6%
first ⅓ avg 26.9% → last ⅓ avg 22.3%

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 — inferno 13–4
131Biggest win — mirage
6Longest win streak
L3Current streak
84In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B25131252%-0.04
mirageB23111248%-0.02
infernoA159660%-0.02
nukeD123925%-0.03
ancientD5050%-0.03
vertigoA53260%-0.03
anubisS54180%-0.00
cache41325%-0.01
train3030%0.02
overpass3030%0.00

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

8,345Lifetime kills
0.74K/D
617Matches
42.5%Match win rate
55.1%Headshot % · Top 10% of Level 2 players
5.4%Shot accuracy
836MVPs
220Hours (in match)
404Bombs planted
95Bombs defused

Most-used weapons

Lifetime map wins

1,160dust2
723nuke
695inferno
288vertigo
181train
8italy
6office
1cbble

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

Faceit stats

Combat

8Matches
12%Win rate
0.78Avg K/D
58.2ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.589.0
Dust21100%2.3314.0

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.

21.9%Headshot accuracy
29.7%Accuracy (enemy spotted)
30.8%Spray accuracy
74.5%Counter-strafing
11.1°Preaim
722msReaction time
17.3%T opening success
36.1%CT opening success
0.47Enemies flashed / flash
6.4%Flash assists
9.55HE damage / grenade
5.54Flashes / 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 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 722.3257ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.4724 — below the 0.5 mark we flag

    Grenade Lineups
  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 17.3151% — 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
cache4–13-0.0424%13 May
cache6–13-0.0616%5 May
cache2–130.0122%30 Apr
cache13–30.0515%29 Apr
ancient4–13-0.0620%24 Apr
dust213–6-0.0210%16 Apr
inferno12–12-0.0521%16 Apr
dust213–8-0.0416%14 Apr
mirage13–2-0.0532%14 Apr
mirage5–13-0.0915%14 Apr
mirage3–8-0.0714%10 Apr
inferno6–13-0.0811%10 Apr
vertigo13–11-0.0321%7 Apr
mirage2–13-0.0116%7 Apr
inferno13–9-0.0231%2 Apr
dust27–13-0.0729%1 Apr
ancient2–7-0.0520%1 Apr
mirage13–70.0134%31 Mar
inferno13–6-0.1113%28 Mar
train11–13-0.0231%27 Mar
anubis13–9-0.0117%27 Mar
dust213–4-0.0845%26 Mar
dust213–5-0.0335%25 Mar
mirage11–130.0218%25 Mar
ancient7–130.0124%24 Mar
mirage5–13-0.0315%23 Mar
dust216–14-0.0619%22 Mar
inferno13–60.0723%21 Mar
dust213–10-0.0424%21 Mar
inferno13–110.0123%21 Mar
anubis13–110.0428%21 Mar
mirage13–110.0425%20 Mar
inferno9–13-0.0030%19 Mar
mirage7–3-0.018%19 Mar
overpass1–13-0.0221%19 Mar
nuke13–9-0.0216%19 Mar
nuke7–13-0.0923%19 Mar
mirage12–12-0.0310%18 Mar
vertigo4–13-0.0524%18 Mar
nuke8–130.0437%18 Mar
vertigo13–110.0110%18 Mar
nuke10–3-0.0121%17 Mar
dust213–70.0220%17 Mar
anubis7–13-0.0417%17 Mar
mirage13–7-0.0411%17 Mar
inferno13–80.0313%16 Mar
dust213–100.0226%16 Mar
train9–130.0218%16 Mar
nuke12–12-0.0215%15 Mar
nuke5–130.0122%15 Mar
inferno3–13-0.0619%15 Mar
mirage0–13-0.0518%15 Mar
dust210–30.0316%15 Mar
mirage8–130.0118%14 Mar
inferno13–9-0.0223%13 Mar
vertigo13–9-0.0528%13 Mar
mirage8–13-0.0824%12 Mar
inferno5–13-0.0623%11 Mar
vertigo2–13-0.0421%11 Mar
dust22–13-0.0726%10 Mar
mirage13–10.0521%10 Mar
mirage13–60.0813%10 Mar
dust213–6-0.0620%10 Mar
train7–130.0622%10 Mar
nuke6–130.0213%10 Mar
mirage7–13-0.0416%10 Mar
dust213–60.0219%10 Mar
inferno13–40.1039%9 Mar
anubis13–80.0418%9 Mar
mirage10–13-0.0217%9 Mar
mirage13–1-0.0317%9 Mar
anubis13–8-0.0519%9 Mar
nuke7–130.0016%9 Mar
overpass10–130.0827%9 Mar
mirage13–110.0145%7 Mar
dust29–130.0226%7 Mar
dust25–13-0.0847%6 Mar
dust211–13-0.0526%6 Mar
nuke13–9-0.0219%6 Mar
ancient12–12-0.0431%6 Mar
dust211–13-0.0222%6 Mar
dust210–13-0.0225%5 Mar
mirage1–13-0.0819%5 Mar
nuke6–13-0.0220%5 Mar
inferno6–13-0.0120%5 Mar
dust215–15-0.0544%3 Mar
overpass7–13-0.0524%3 Mar
dust213–9-0.0917%3 Mar
dust212–12-0.1225%3 Mar
inferno13–9-0.0627%3 Mar
ancient7–13-0.0430%3 Mar
dust29–130.0127%3 Mar
dust26–13-0.0732%28 Feb
dust28–13-0.0543%26 Feb
nuke5–13-0.0731%26 Feb
inferno13–4-0.0533%25 Feb
mirage13–7-0.0028%25 Feb
dust213–6-0.0329%25 Feb
mirage13–11-0.0221%24 Feb
nuke2–13-0.1225%24 Feb

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 →