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Farshfar — CS2 Stats

76561198349978898[U:1:389713170]✓ No bans

427Tracked matches33%Win rate2020Tracked since
1,646Hours in CS2Hrs last 2 wks
CSDB Rating2.7 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate35.6%42.1%42.5%6.9% short
Shot accuracy14.4%12.1%10.9%above
Kill/death ratio0.570.990.990.42 short
Match win rate40.8%43.9%44.2%3.4% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFarshfarFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim22
Positioning38
Utility38

0–100 skill scores via Leetify.

Recent form

COLD37–55–8Last 10037%Win rateLLLTLLLLTW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim2.2
Aggression2.8
Utility3.8
Positioning3.8
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 68% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 678ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.2
Positioning3.8
Utility3.8
Mechanics4.3
Opening Duels0.2
Win Impact0.0

Composite 2.7/10 (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-0.05−0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time676ms+20ms
first ⅓ avg 656ms → last ⅓ avg 676ms
Headshot accuracy11.5%+1.0%
first ⅓ avg 10.4% → last ⅓ avg 11.5%

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

0.20Best rating — rooftop 9–2
13–2Biggest win — ancient
5Longest win streak
L3Current streak
8–6In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 63% over 8dust2Weakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
infernoD184–1422%-0.07
ancientD165–1131%-0.04
nukeC125–742%-0.06
dust2D121–118%-0.05
trainC104–640%-0.05
overpassA85–363%-0.03
mirageC73–443%-0.06
cacheA53–260%-0.06
rooftop—32–167%0.01
vertigo—31–233%-0.06
brewery—21–150%-0.16
transit—11–0100%-0.03
dogtown—11–0100%0.11
anubis—11–0100%0.09
edin—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,318Lifetime kills
0.57K/D
1,906Matches
40.8%Match win rate
35.6%Headshot %
14.4%Shot accuracy · Top 50% of Level 3 players
2,025MVPs
819Hours (in match)
1,028Bombs planted
222Bombs defused

Most-used weapons

AK-475,515
M4A4 / M4A1-S5,316
AWP2,327
P2000 / USP-S1,407
Desert Eagle977
Glock-18899
SSG 08656
Negev632
MAC-10552
FAMAS541

Lifetime map wins

2,960dust2
2,721inferno
1,362nuke
1,303train
661vertigo
644cbble
297office
136lake

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.

10.7%Headshot accuracy
28.3%Accuracy (enemy spotted)
30.0%Spray accuracy
69.4%Counter-strafing
12.2°Preaim
678msReaction time
25.3%T opening success
31.2%CT opening success
0.72Enemies flashed / flash
5.2%Flash assists
4.54HE damage / grenade
3.97Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1991° — above the 12° mark we flag

    Aim Training →
  2. 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 10.6733% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9703 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0617%25 Aug →
ancient6–13-0.038%25 Aug →
inferno8–13-0.0216%25 Aug →
nuke12–12-0.055%24 Aug →
ancient9–13-0.093%3 Aug →
train2–13-0.1015%31 Jul →
inferno6–13-0.048%31 Jul →
cache2–9-0.0625%30 Jul →
ancient12–12-0.055%27 Jul →
cache13–10-0.094%27 Jul →
nuke9–13-0.058%27 Jul →
dust28–13-0.075%27 Jul →
cache13–11-0.0617%14 Jul →
mirage5–13-0.0910%14 Jul →
train10–13-0.0616%12 Jul →
dust26–13-0.0613%12 Jul →
mirage4–13-0.0611%10 Jul →
ancient13–8-0.037%23 Jun →
nuke13–11-0.1012%22 Jun →
inferno7–13-0.0721%21 Jun →
inferno12–12-0.064%23 May →
cache13–7-0.0414%1 May →
dust211–13-0.0421%16 Apr →
overpass13–60.0211%13 Apr →
mirage13–4-0.0510%13 Apr →
nuke4–13-0.098%4 Apr →
inferno13–11-0.049%4 Apr →
nuke1–13-0.0911%4 Apr →
nuke13–50.009%14 Mar →
overpass10–13-0.058%22 Nov →
inferno9–5-0.0610%4 Oct →
rooftop9–20.208%4 Oct →
overpass9–50.0131%4 Oct →
nuke1–9-0.0814%4 Oct →
rooftop8–8-0.1123%4 Oct →
inferno5–9-0.0521%4 Oct →
inferno5–9-0.190%2 Oct →
rooftop9–4-0.0617%2 Oct →
transit9–3-0.030%2 Oct →
dogtown9–40.114%17 Sept →
brewery9–5-0.099%17 Sept →
overpass9–60.0213%17 Sept →
vertigo7–9-0.158%17 Sept →
nuke1–9-0.2214%17 Sept →
inferno3–9-0.1510%17 Sept →
nuke9–60.0332%15 Sept →
vertigo9–60.0218%15 Sept →
brewery1–9-0.230%15 Sept →
inferno9–50.090%15 Sept →
train6–13-0.0726%15 Sept →
ancient5–1-0.0117%15 Sept →
inferno13–6-0.0316%6 May →
dust213–8-0.0213%29 Apr →
anubis13–70.097%29 Apr →
ancient7–130.015%29 Apr →
nuke9–70.016%28 Apr →
inferno1–9-0.320%28 Apr →
inferno9–13-0.027%27 Apr →
ancient8–13-0.0912%26 Apr →
mirage13–9-0.079%26 Apr →
nuke13–10-0.038%26 Apr →
ancient13–4-0.022%17 Apr →
dust210–13-0.0225%17 Apr →
inferno8–13-0.0221%17 Apr →
dust24–13-0.1013%17 Apr →
dust24–130.0115%14 Apr →
overpass11–13-0.078%14 Apr →
train13–11-0.047%7 Apr →
ancient13–11-0.048%6 Apr →
train11–13-0.059%6 Apr →
ancient11–13-0.048%5 Apr →
inferno7–13-0.0710%5 Apr →
ancient12–12-0.0414%3 Apr →
ancient13–2-0.018%3 Apr →
mirage13–3-0.033%3 Apr →
train8–13-0.075%2 Apr →
overpass7–13-0.104%2 Apr →
inferno12–12-0.0718%2 Apr →
inferno4–13-0.076%29 Mar →
mirage7–13-0.0712%29 Mar →
ancient6–13-0.045%10 Mar →
train13–11-0.028%24 Feb →
overpass13–60.0217%23 Feb →
edin8–13-0.0222%23 Feb →
dust26–13-0.044%23 Feb →
ancient3–13-0.089%21 Jan →
train13–11-0.039%21 Jan →
dust25–13-0.0810%21 Jan →
inferno10–13-0.0410%18 Jan →
overpass13–9-0.109%18 Jan →
dust24–13-0.0613%18 Jan →
nuke12–12-0.0417%18 Jan →
mirage6–13-0.0311%18 Jan →
train13–50.0114%14 Jan →
train10–13-0.068%6 Jan →
ancient10–13-0.057%1 Nov →
dust212–12-0.0410%1 Nov →
ancient8–130.0116%23 Oct →
dust211–13-0.0415%21 Oct →
vertigo4–13-0.0415%8 Oct →

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 →

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