The Farmer

The Farmer — CS2 Stats

NO76561198131958000[U:1:171692272]Steam profile ↗✓ No bans

375Tracked matches60%Win rate2023Tracked since
1,310Hours in CS10Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating11,461Blue band · top ~47.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,461 -2,413 11 Feb – 16 Oct · 24 days played
8,38714,091peak 14,09111 Feb16 Oct
14,248Peak Premier in tracked matches
1,218Highest Faceit ELO seen on CSDB
39Days played since 2026-02-11

Faceit ELO

  • At peak — 1,218
  • Next: Level 7 at 1,351 — 133 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 2,630 below peak (14,091)
  • -199 over 30 days · steady
  • Next: Purple band at 15,000 — 3,539 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate36.6%42.0%44.4%7.7% short
Shot accuracy13.8%9.6%11.9%above
Kill/death ratio1.050.981.03meets
Match win rate42.4%43.8%45.2%2.8% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGThe FarmerPREMIER11,461 · Blue bandPEAK ELO1,218csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim63
Positioning67
Utility29

0–100 skill scores via Leetify.

Recent form

HOT48–50–2Last 10048%Win rateLWWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −2.1pp headshot accuracy · −33ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 544ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 579ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 595ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim6.3
Utility2.9
Positioning6.7
Opening Duels6.5
Clutch6.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 595ms 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
Positioning6.7
Utility2.9
Mechanics5.6
Opening Duels7.3
Win Impact8.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time584ms−60ms
first ⅓ avg 644ms → last ⅓ avg 584ms
Headshot accuracy18.6%+2.0%
first ⅓ avg 16.6% → last ⅓ avg 18.6%

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.

Personal bests

0.15Best match rating · 13–4 · ancient, 19 Aug →
33%Best headshot accuracy · 7–13 · mirage, 17 Aug →
453msFastest reaction time · 13–11 · ancient, 18 Aug →
13–0Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 9ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%-0.00
mirageB179–853%0.02
ancientC166–1038%-0.01
infernoC125–742%-0.01
nukeA117–464%-0.00
anubisS96–367%0.05
cacheA53–260%-0.02
office—32–167%0.01
overpass—30–30%-0.01
train—10–10%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,080Lifetime kills
1.05K/D · Top 50% of Blue band
2,443Matches
42.4%Match win rate
36.6%Headshot %
13.8%Shot accuracy · Top 50% of Blue band
4,839MVPs
683Hours (in match)
1,587Bombs planted
381Bombs defused

Most-used weapons

Lifetime map wins

2,386inferno
2,053dust2
1,564nuke
604cbble
454train
454vertigo
305office
143safehouse

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

Faceit stats

Combat

39Matches
51%Win rate
0.80Avg K/D
72.9ADR
43%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1070%0.7912.4
Nuke862%1.2017.1
Ancient743%0.5811.4
Inferno333%0.6810.3
Overpass250%0.7813.0
Dust2250%0.7813.0
Anubis250%0.8213.5
Train10%1.1120.0

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.

19.4%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.3%Spray accuracy
75.1%Counter-strafing
9.8°Preaim
595msReaction time
58.3%T opening success
59.7%CT opening success
0.38Enemies flashed / flash
3.7%Flash assists
6.04HE damage / grenade
4.67Flashes / 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 0.3823 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0015%24 Oct →
office13–90.0421%24 Oct →
nuke13–4-0.0215%24 Oct →
ancient0–13-0.0212%24 Oct →
inferno9–130.0117%23 Oct →
dust213–60.0620%23 Oct →
dust213–80.0222%22 Oct →
dust213–0-0.0122%22 Oct →
anubis13–100.1021%22 Oct →
dust213–100.0220%22 Oct →
dust22–130.0822%22 Oct →
mirage13–100.049%22 Oct →
cache9–130.0210%21 Oct →
cache13–70.0426%21 Oct →
cache13–6-0.0417%16 Oct →
dust210–13-0.0132%16 Oct →
dust29–13-0.0121%12 Oct →
anubis5–13-0.0129%3 Oct →
anubis13–80.0319%29 Sept →
dust213–9-0.0521%29 Sept →
mirage13–50.1121%16 Sept →
ancient2–13-0.0322%15 Sept →
dust213–16-0.0219%12 Sept →
dust213–80.0116%12 Sept →
ancient13–5-0.0116%12 Sept →
ancient3–13-0.0323%12 Sept →
mirage13–90.0022%10 Sept →
anubis13–11-0.0419%10 Sept →
mirage10–13-0.0626%5 Sept →
nuke13–50.007%5 Sept →
nuke8–13-0.009%1 Sept →
dust213–110.0310%27 Aug →
ancient2–13-0.0512%20 Aug →
dust25–13-0.0110%20 Aug →
nuke13–80.0813%19 Aug →
nuke13–110.0115%19 Aug →
inferno13–9-0.0217%19 Aug →
anubis15–150.057%19 Aug →
ancient13–40.1513%19 Aug →
ancient13–11-0.0613%18 Aug →
train11–130.0417%18 Aug →
inferno16–12-0.0212%18 Aug →
dust210–13-0.0813%17 Aug →
mirage7–13-0.0133%17 Aug →
nuke6–130.0032%9 Jun →
cache13–10-0.0520%9 Jun →
dust213–50.0011%3 Jun →
inferno10–130.0023%3 Jun →
mirage13–60.0024%3 Jun →
inferno13–30.0821%3 Jun →
inferno11–13-0.0218%1 Jun →
mirage10–130.0729%1 Jun →
nuke10–13-0.0421%13 May →
cache6–13-0.059%13 May →
dust23–13-0.135%13 May →
overpass4–130.0224%13 May →
dust28–13-0.0327%13 May →
mirage13–10-0.0622%9 Apr →
mirage6–13-0.0012%8 Apr →
anubis13–00.1517%1 Apr →
inferno7–13-0.0111%1 Apr →
inferno8–13-0.0711%31 Mar →
mirage13–10-0.0313%31 Mar →
ancient8–130.0113%31 Mar →
overpass4–13-0.0321%31 Mar →
dust28–13-0.0519%31 Mar →
mirage7–130.0423%30 Mar →
inferno5–130.0117%30 Mar →
dust26–130.0412%30 Mar →
ancient13–50.0215%30 Mar →
nuke13–10-0.0517%30 Mar →
mirage13–100.0218%30 Mar →
office9–13-0.0218%24 Mar →
office13–40.0219%24 Mar →
ancient6–130.0121%24 Mar →
dust213–10.0929%24 Mar →
ancient13–70.0516%24 Mar →
anubis10–130.0218%24 Mar →
ancient3–13-0.0318%24 Mar →
dust213–90.0121%24 Mar →
inferno13–4-0.0920%13 Mar →
dust29–13-0.0621%3 Mar →
dust26–130.0313%27 Feb →
ancient13–80.0318%26 Feb →
nuke16–120.0512%26 Feb →
nuke13–100.0126%26 Feb →
ancient15–15-0.0311%24 Feb →
inferno13–9-0.0311%22 Feb →
dust213–16-0.0314%22 Feb →
mirage8–50.0621%22 Feb →
mirage8–130.0318%22 Feb →
nuke5–13-0.0525%22 Feb →
overpass6–13-0.024%22 Feb →
anubis13–80.048%22 Feb →
mirage10–130.0922%20 Feb →
mirage7–13-0.0310%18 Feb →
ancient9–13-0.0624%12 Feb →
anubis13–90.0714%12 Feb →
mirage13–5-0.008%11 Feb →
ancient14–16-0.0512%11 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 →

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