boer to be wild

boer to be wild — CS2 Stats

US76561198031757350[U:1:71491622]Steam profile ↗VAC banned

1,657Tracked matches42%Win rate2020Tracked since
2,845Hours in CS13Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating5,682Light Blue band · top ~75.5% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (3 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: 5,682 -3,750 11 May – 4 Nov · 17 days played
5,68210,121peak 10,12111 May4 Nov
10,121Peak Premier in tracked matches
1,142Highest Faceit ELO seen on CSDB
55Days played since 2026-03-28

Premier CS Rating

  • 4,439 below peak (10,121)
  • Next: Blue band at 10,000 — 4,318 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate63.7%39.9%42.0%above
Shot accuracy17.0%7.0%9.6%above
Kill/death ratio1.490.920.98above
Match win rate44.8%42.3%43.8%above

Across every metric we can compare, this profile already matches the typical Blue band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGboer to be wildPREMIER5,682 · Light Blue bandPEAK ELO1,142csdb.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

Aim75
Positioning59
Utility35

0–100 skill scores via Leetify.

Recent form

COLD36–59–5Last 10036%Win rateLTLWWLWLTL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −4.2pp headshot accuracy · −13ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 541ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 543ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 549ms

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 (+1.7 against its own average).

Aim7.5
Utility3.5
Positioning5.9
Opening Duels4.2
Clutch3.2

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

donk

Plays most like donk 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 581ms 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

Aim7.5
Positioning5.9
Utility3.5
Mechanics6.8
Opening Duels5.4
Win Impact2.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time572ms−80ms
first ⅓ avg 652ms → last ⅓ avg 572ms
Headshot accuracy15.8%+1.9%
first ⅓ avg 14.0% → last ⅓ avg 15.8%

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

0.09Best match rating · 13–9 · overpass, 14 May →
44%Best headshot accuracy · 11–13 · nuke, 4 Sept →
391msFastest reaction time · 13–3 · dust2, 28 Oct →
13–0Biggest win · mirage, 3 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 60% over 5mirageWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
ancientD196–1332%-0.01
nukeB189–950%-0.02
mirageD154–1127%-0.03
cacheD154–1127%-0.00
anubisC114–736%-0.03
dust2D103–730%-0.03
overpassA53–260%0.02
office—21–150%-0.00
boulder—21–150%0.02
fachwerk—10–10%-0.08
shelter—10–10%-0.04
inferno—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,247Lifetime kills
1.49K/D · Top 5% of Light Blue band
3,249Matches
44.8%Match win rate · Top 50% of Light Blue band
63.7%Headshot % · Top 5% of Light Blue band
17.0%Shot accuracy · Top 10% of Light Blue band
8,779MVPs
1,731Hours (in match)
2,543Bombs planted
1,218Bombs defused

Most-used weapons

AK-4753,676
AWP7,651
SSG 081,393
Knife1,304
P2501,161
SG 5531,061

Lifetime map wins

8,327nuke
4,140dust2
2,711inferno
2,432vertigo
1,183train
701office
357cbble
152italy

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

Faceit stats

Combat

271Matches
48%Win rate
1.05Avg K/D
76.8ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke3342%1.0117.6
Ancient3244%1.1217.7
Anubis3259%1.0316.9
Vertigo1861%1.1818.7
Mirage1839%0.8413.8
Inferno1650%1.1315.7
Overpass922%1.1816.7
Dust2650%1.0114.5

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.

15.4%Headshot accuracy
42.3%Accuracy (enemy spotted)
38.8%Spray accuracy
80.5%Counter-strafing
11.3°Preaim
581msReaction time
49.3%T opening success
53.9%CT opening success
0.50Enemies flashed / flash
1.7%Flash assists
8.49HE damage / grenade
7.54Flashes / 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. 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 0.4981 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0216%4 Nov →
ancient15–15-0.0010%4 Nov →
cache11–13-0.009%4 Nov →
mirage13–00.0224%3 Nov →
cache13–90.035%31 Oct →
mirage1–13-0.0416%31 Oct →
ancient13–9-0.047%31 Oct →
cache14–16-0.069%28 Oct →
ancient15–150.057%28 Oct →
anubis10–130.016%28 Oct →
dust213–30.0317%28 Oct →
dust28–20.0020%28 Oct →
nuke13–11-0.0320%19 Oct →
nuke13–10-0.0116%18 Oct →
anubis13–70.0316%17 Oct →
nuke8–13-0.0620%17 Oct →
dust28–13-0.0716%16 Oct →
mirage16–140.0312%12 Oct →
mirage4–13-0.1210%2 Oct →
cache10–13-0.015%30 Sept →
mirage5–13-0.0227%29 Sept →
cache2–13-0.027%24 Sept →
cache10–13-0.0118%18 Sept →
ancient13–80.0038%8 Sept →
nuke6–130.0541%7 Sept →
nuke11–130.0444%4 Sept →
ancient9–130.039%31 Aug →
fachwerk12–12-0.0818%29 Aug →
cache15–150.016%28 Aug →
anubis13–6-0.0210%27 Aug →
ancient10–13-0.0318%25 Aug →
ancient13–70.0817%25 Aug →
mirage19–15-0.0211%22 Aug →
cache5–13-0.0411%17 Aug →
ancient9–130.0412%17 Aug →
nuke16–130.0011%12 Aug →
cache13–110.0317%12 Aug →
cache14–16-0.0115%12 Aug →
nuke13–10-0.025%7 Aug →
office8–13-0.0423%2 Aug →
nuke6–13-0.027%1 Aug →
cache9–130.0410%1 Aug →
nuke16–14-0.024%29 Jul →
cache16–12-0.0314%28 Jul →
dust26–13-0.0327%28 Jul →
boulder13–30.0433%21 Jul →
shelter12–12-0.0420%16 Jul →
boulder10–130.0123%16 Jul →
cache13–11-0.0223%10 Jul →
ancient8–13-0.0710%10 Jul →
cache12–160.0415%9 Jul →
nuke4–13-0.0411%5 Jul →
overpass7–13-0.0217%4 Jul →
ancient2–130.0118%4 Jul →
mirage11–13-0.0212%4 Jul →
dust27–13-0.018%4 Jul →
nuke9–13-0.0115%4 Jul →
nuke13–9-0.0910%2 Jul →
office13–80.0414%27 Jun →
mirage4–13-0.0510%27 Jun →
nuke13–40.054%27 Jun →
anubis13–60.018%25 Jun →
anubis6–13-0.104%25 Jun →
ancient13–9-0.0021%20 Jun →
cache10–13-0.0122%7 Jun →
ancient1–7-0.0613%7 Jun →
anubis3–13-0.0825%29 May →
mirage13–8-0.0110%29 May →
nuke6–13-0.050%29 May →
ancient6–13-0.0418%29 May →
ancient6–130.020%28 May →
dust210–13-0.0423%28 May →
dust20–13-0.1010%27 May →
mirage6–13-0.0831%27 May →
overpass14–16-0.0517%27 May →
mirage0–13-0.0422%27 May →
dust211–13-0.0315%27 May →
ancient13–11-0.0413%18 May →
nuke13–7-0.0715%18 May →
overpass13–90.0913%14 May →
mirage8–13-0.0413%11 May →
anubis13–50.0212%11 May →
dust213–8-0.0625%11 May →
anubis8–13-0.0711%11 May →
ancient8–13-0.0313%11 May →
mirage1–9-0.0817%8 May →
dust210–13-0.0220%8 May →
ancient3–13-0.0722%8 May →
anubis14–160.0514%13 Apr →
nuke13–100.0317%11 Apr →
overpass13–20.066%8 Apr →
ancient13–11-0.068%6 Apr →
nuke6–13-0.0411%6 Apr →
ancient5–13-0.0519%6 Apr →
anubis4–13-0.088%6 Apr →
inferno13–70.0311%6 Apr →
anubis5–13-0.0824%5 Apr →
nuke9–13-0.066%1 Apr →
overpass13–70.0214%28 Mar →
mirage6–13-0.016%28 Mar →

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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