buddy

buddy — CS2 Stats

NZ76561198089412043[U:1:129146315]Steam profile ↗✓ No bans

3,399Tracked matches34%Win rate2020Tracked since
7,826Hours in CS20Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating9,306Light Blue band · top ~58.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (yesterday). 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: 9,306 +4,393 21 Aug – 8 Oct · 20 days played
4,9139,306peak 9,30621 Aug8 Oct
9,404Peak Premier in tracked matches
24Days played since 2026-08-21

Premier CS Rating

  • At peak — 9,306
  • +269 over 30 days · steady
  • Next: Blue band at 10,000 — 694 to go
  • Reached: Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches66——
Win rate35%——
K/D0.70——
Headshot %54%——

Measured 5 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=5,923), 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 rate40.2%41.3%41.8%1.6% short
Shot accuracy13.9%12.7%12.2%above
Kill/death ratio0.950.950.980.03 short
Match win rate22.5%42.6%43.3%20.8% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGbuddyFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER9,306 · Light Blue bandcsdb.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

Aim67
Positioning59
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateWLLWWLWWWL

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · +6.5pp headshot accuracy · −39ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 30%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 32%
  • Avg reaction 570ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 589ms

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).

Aim6.7
Utility4.1
Positioning5.9
Opening Duels3.5
Clutch3.2

Strong CT-side opener

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 577ms 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

Aim6.7
Positioning5.9
Utility4.1
Mechanics6.2
Opening Duels4.6
Win Impact0.0

Composite 4.7/10 (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-0.03−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.03
Reaction time573ms+14ms
first ⅓ avg 559ms → last ⅓ avg 573ms
Headshot accuracy26.5%+0.8%
first ⅓ avg 25.7% → last ⅓ avg 26.5%

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.

Personal bests

0.11Best match rating · 13–10 · cache, 7 Oct →
67%Best headshot accuracy · 2–13 · dust2, 8 Oct →
391msFastest reaction time · 2–13 · dust2, 8 Oct →
13–1Biggest win · ancient, 3 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 63% over 27nukeWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2717–1063%-0.01
infernoB209–1145%-0.01
mirageA138–562%0.01
cacheB105–550%-0.01
anubisA95–456%-0.01
nukeD70–70%-0.02
ancientB63–350%-0.00
vertigo—42–250%-0.04
overpass—10–10%-0.00
office—10–10%-0.08
train—11–0100%-0.04
fachwerk—11–0100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

358,267Lifetime kills
0.95K/D
16,572Matches
22.5%Match win rate
40.2%Headshot %
13.9%Shot accuracy · Top 50% of Level 2 players
20,673MVPs
5,055Hours (in match)
5,106Bombs planted
1,563Bombs defused

Most-used weapons

AK-47145,208
AWP86,767
Tec-95,769
P904,560
MAC-104,415
FAMAS3,682

Lifetime map wins

27,248dust2
13,348inferno
3,613nuke
3,178vertigo
1,819cbble
1,297train
1,014office
338lake

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

Faceit stats

Combat

677Matches
48%Win rate
0.84Avg K/D
62.5ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno2250%0.8513.7
Anubis1250%0.7913.5
Dust21050%0.9511.3
Mirage944%0.9013.0
Ancient933%0.8212.7
Overpass650%0.9217.2
Nuke425%0.9216.8
Vertigo2100%0.8710.5

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.

26.1%Headshot accuracy
30.2%Accuracy (enemy spotted)
31.1%Spray accuracy
77.7%Counter-strafing
10.1°Preaim
577msReaction time
41.3%T opening success
55.4%CT opening success
0.52Enemies flashed / flash
11.4%Flash assists
8.79HE damage / grenade
5.86Flashes / match

Recommended for you

Spend your practice time on Nuke

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 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0739%8 Oct →
inferno6–13-0.0631%8 Oct →
dust29–13-0.0119%8 Oct →
dust213–11-0.0533%8 Oct →
anubis13–70.0528%8 Oct →
dust22–13-0.0167%8 Oct →
cache13–100.1119%7 Oct →
mirage13–90.1023%7 Oct →
anubis13–100.0129%7 Oct →
nuke9–13-0.0029%7 Oct →
dust25–13-0.0337%6 Oct →
anubis8–13-0.108%4 Oct →
mirage8–13-0.0122%4 Oct →
inferno5–13-0.0624%4 Oct →
cache3–13-0.0933%4 Oct →
inferno7–13-0.0621%3 Oct →
dust213–4-0.0228%3 Oct →
mirage15–15-0.0111%3 Oct →
dust213–60.0127%3 Oct →
dust26–13-0.0640%27 Sept →
anubis11–13-0.0724%27 Sept →
vertigo5–13-0.1122%26 Sept →
vertigo4–13-0.0429%26 Sept →
vertigo13–50.0031%26 Sept →
nuke8–13-0.0627%11 Sept →
cache11–13-0.0414%9 Sept →
mirage3–13-0.0428%9 Sept →
ancient13–11-0.0324%9 Sept →
dust26–13-0.0531%8 Sept →
ancient9–13-0.0317%8 Sept →
inferno16–14-0.0218%8 Sept →
dust216–14-0.0221%8 Sept →
overpass12–12-0.0019%8 Sept →
mirage13–3-0.0116%8 Sept →
office2–13-0.0860%7 Sept →
dust23–13-0.0614%7 Sept →
dust213–90.0322%7 Sept →
dust216–13-0.0413%7 Sept →
dust213–6-0.0027%6 Sept →
ancient13–80.0618%6 Sept →
inferno9–13-0.0733%5 Sept →
dust213–6-0.0030%5 Sept →
cache13–90.0631%5 Sept →
ancient1–13-0.0245%5 Sept →
nuke7–13-0.0621%5 Sept →
cache11–13-0.0333%5 Sept →
inferno4–13-0.0633%5 Sept →
dust210–13-0.0461%5 Sept →
dust213–30.0243%4 Sept →
inferno13–5-0.0131%4 Sept →
dust213–10-0.0322%4 Sept →
anubis16–13-0.0443%4 Sept →
anubis9–130.0317%3 Sept →
mirage13–50.0326%3 Sept →
mirage13–50.0519%3 Sept →
ancient13–10.0127%3 Sept →
inferno13–20.0420%3 Sept →
cache1–13-0.0733%31 Aug →
mirage7–13-0.0229%30 Aug →
cache6–1-0.0020%30 Aug →
train13–7-0.0423%30 Aug →
mirage13–10.0129%30 Aug →
nuke3–130.0042%30 Aug →
vertigo13–11-0.0223%30 Aug →
inferno3–130.0231%29 Aug →
dust215–150.0324%29 Aug →
inferno10–13-0.0340%29 Aug →
cache11–13-0.0021%29 Aug →
mirage13–60.0016%29 Aug →
anubis16–12-0.0124%29 Aug →
inferno11–20.0729%29 Aug →
inferno13–6-0.0421%29 Aug →
dust213–80.0718%29 Aug →
inferno12–120.0234%29 Aug →
fachwerk13–60.0824%29 Aug →
dust213–60.0328%29 Aug →
anubis9–130.0223%28 Aug →
inferno13–5-0.0621%28 Aug →
nuke7–13-0.0429%28 Aug →
inferno13–80.0235%27 Aug →
dust213–80.0231%27 Aug →
ancient8–13-0.0117%27 Aug →
dust211–130.0123%25 Aug →
nuke5–13-0.0342%25 Aug →
inferno13–5-0.0421%25 Aug →
dust216–13-0.0221%24 Aug →
nuke4–130.0236%24 Aug →
dust212–12-0.0332%24 Aug →
inferno13–70.1153%24 Aug →
inferno11–130.0524%22 Aug →
dust213–3-0.0122%22 Aug →
dust213–50.0213%22 Aug →
inferno8–13-0.0225%22 Aug →
mirage13–8-0.0221%22 Aug →
dust213–10-0.0325%22 Aug →
cache13–60.0129%22 Aug →
mirage3–130.0328%22 Aug →
mirage13–10-0.048%22 Aug →
anubis13–100.0021%21 Aug →
inferno4–130.0432%21 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.