Guy on a Buffalo

Guy on a Buffalo — CS2 Stats

CA76561198121247276[U:1:160981548]Steam profile ↗

1,941Tracked matches53%Win rate2021Tracked since
5,617Hours in CS18Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
CSDB Leaderboard#30606 of 39898 tracked
FaceitLevel 4 · 901 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate28.2%42.7%44.0%15.8% short
Shot accuracy10.0%10.8%11.6%1.7% short
Kill/death ratio0.871.001.030.16 short
Match win rate45.8%44.1%45.1%meets

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGuy on a BuffaloFACEITLevel 4 · 901 ELOSTANDINGTop 81.0% of rankedPREMIER4,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim28
Positioning38
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47521Last 10047%Win rateWWLLLWLWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim2.8
Aggression3.8
Utility6.5
Positioning3.8
Opening Duels1.5
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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 48% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms 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

Aim2.8
Positioning3.8
Utility6.5
Mechanics5.6
Opening Duels2.3
Win Impact6.1

Composite 3.8/10 (Learning), 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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time639ms−53ms
first ⅓ avg 692ms → last ⅓ avg 639ms
Headshot accuracy8.0%−2.9%
first ⅓ avg 10.9% → last ⅓ avg 8.0%

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

0.11Best rating — vertigo 13–3
131Biggest win — inferno
5Longest win streak
W2Current streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 15cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC23101343%-0.02
nukeB1910953%-0.02
ancientC1871139%-0.02
anubisS1510567%-0.01
vertigoA127558%-0.03
cacheD82625%-0.05
dust22020%-0.02
overpass2020%-0.04
train110100%0.02

Across the last 100 tracked matches.

Lifetime stats

108,997Lifetime kills
0.87K/D
10,238Matches
45.8%Match win rate · Top 50% of Level 4 players
28.2%Headshot %
10.0%Shot accuracy
9,380MVPs
2,806Hours (in match)
3,063Bombs planted
612Bombs defused

Most-used weapons

AK-4724,422
MAG-74,214
FAMAS3,494
P903,118
MP92,736
MAC-102,637
UMP-452,148

Lifetime map wins

13,448office
6,904vertigo
6,862italy
4,646nuke
4,230inferno
2,308dust2
1,607militia
1,231assault

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

Faceit stats

Combat

5Matches
0%Win rate
0.66Avg K/D
74.7ADR
27%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient20%0.6811.0
Vertigo10%1.0924.0
Nuke10%0.6210.0

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.

8.1%Headshot accuracy
29.8%Accuracy (enemy spotted)
29.8%Spray accuracy
75.0%Counter-strafing
12.0°Preaim
638msReaction time
23.3%T opening success
48.5%CT opening success
0.59Enemies flashed / flash
4.7%Flash assists
11.91HE damage / grenade
11.60Flashes / 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 12.0005° — 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 8.0594% — below the 15% mark we flag

    Aim Training
Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.026%30 Aug
inferno16–12-0.009%30 Aug
ancient12–160.0114%30 Aug
anubis9–13-0.0310%29 Aug
cache9–13-0.016%29 Aug
nuke13–11-0.036%29 Aug
inferno11–13-0.028%29 Aug
anubis16–120.0110%29 Aug
inferno8–13-0.022%29 Aug
vertigo4–13-0.075%26 Aug
vertigo13–4-0.024%26 Aug
nuke2–13-0.116%26 Aug
inferno13–16-0.034%26 Aug
inferno13–10.054%25 Aug
ancient13–70.028%24 Aug
dust24–13-0.0511%24 Aug
nuke13–8-0.0810%24 Aug
inferno11–130.0716%17 Aug
nuke13–60.018%17 Aug
anubis13–4-0.036%17 Aug
inferno6–13-0.051%16 Aug
anubis6–13-0.073%16 Aug
ancient13–11-0.0515%14 Aug
inferno13–110.038%13 Aug
inferno13–100.054%13 Aug
ancient13–7-0.049%10 Aug
inferno13–6-0.096%10 Aug
inferno14–16-0.058%10 Aug
ancient12–160.0510%9 Aug
ancient13–10.0316%9 Aug
dust29–130.0011%9 Aug
ancient10–13-0.062%9 Aug
ancient6–13-0.0714%9 Aug
inferno13–30.0317%9 Aug
inferno6–13-0.0913%9 Aug
vertigo13–9-0.054%8 Aug
nuke13–30.0813%8 Aug
anubis9–13-0.0715%6 Aug
cache5–13-0.1010%6 Aug
nuke13–40.0820%6 Aug
inferno16–130.0213%3 Aug
ancient6–13-0.0715%3 Aug
anubis13–100.0412%3 Aug
cache8–13-0.048%2 Aug
cache1–13-0.100%31 Jul
vertigo13–10-0.0620%31 Jul
ancient13–16-0.037%31 Jul
nuke10–13-0.066%30 Jul
cache13–10-0.0416%30 Jul
inferno10–130.035%29 Jul
anubis13–30.0518%29 Jul
cache8–130.0013%29 Jul
nuke5–13-0.018%28 Jul
nuke6–13-0.0827%28 Jul
inferno13–5-0.067%28 Jul
inferno14–16-0.029%27 Jul
vertigo12–12-0.0212%26 Jul
nuke9–13-0.038%26 Jul
vertigo13–20.0316%26 Jul
anubis13–50.1111%26 Jul
anubis13–90.037%26 Jul
inferno5–13-0.048%25 Jul
nuke13–10-0.0114%25 Jul
anubis13–11-0.0514%25 Jul
inferno1–13-0.063%24 Jul
nuke13–80.0222%24 Jul
ancient13–10-0.059%24 Jul
anubis9–13-0.016%16 Jul
nuke11–13-0.0020%15 Jul
inferno7–130.0214%15 Jul
ancient4–13-0.0413%15 Jul
ancient7–13-0.063%14 Jul
vertigo13–30.1115%14 Jul
ancient14–160.017%14 Jul
cache2–13-0.0813%13 Jul
cache13–7-0.037%13 Jul
nuke13–9-0.0512%13 Jul
nuke9–13-0.022%12 Jul
ancient13–70.064%12 Jul
inferno13–9-0.058%11 Jul
anubis16–120.005%11 Jul
nuke13–90.0714%11 Jul
ancient5–13-0.0412%11 Jul
anubis6–13-0.0811%10 Jul
nuke9–130.0111%10 Jul
train13–40.0217%8 Jul
vertigo13–10-0.0412%8 Jul
inferno13–11-0.0613%6 Jul
overpass6–13-0.077%5 Jul
nuke9–13-0.0615%5 Jul
overpass9–13-0.023%5 Jul
anubis13–11-0.057%5 Jul
anubis13–100.0512%5 Jul
vertigo5–13-0.0116%5 Jul
inferno9–13-0.0214%4 Jul
nuke13–9-0.0413%4 Jul
ancient11–13-0.0418%4 Jul
vertigo13–9-0.0210%4 Jul
vertigo1–13-0.127%28 Jun
vertigo5–13-0.0419%28 Jun

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 →