Señor Oso

Señor Oso — CS2 Stats

76561197976496021[U:1:16230293]Steam profile ↗✓ No bans

1,069Tracked matches50%Win rate2020Tracked since
3,412Hours in CS
CSDB Rating6.0 SolidSupport
Premier CS Rating21,358Top 50% of 213,211 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#65357 of 259856 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (22 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: 21,358 -233 31 Mar – 13 Oct · 19 days played
20,29424,078peak 24,07831 Mar13 Oct
24,349Peak Premier in tracked matches
32Days played since 2026-03-25

Premier CS Rating

  • 2,720 below peak (24,078)
  • -57 over 30 days · steady
  • +763 over 90 days
  • Next: Red band at 25,000 — 3,642 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate46.5%46.9%49.3%2.8% short
Shot accuracy14.1%13.0%13.4%above
Kill/death ratio0.871.081.120.25 short
Match win rate62.3%46.7%48.5%above

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

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

Share this profile

CSDB.GGSeñor OsoPREMIER21,358 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning53
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWLLLLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.3pp headshot accuracy · +34ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 611ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 536ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 519ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.6
Utility6.3
Positioning5.3
Opening Duels1.4
Clutch4.0

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

Twistzz

Plays most like Twistzz 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6
Positioning5.3
Utility6.3
Mechanics5.9
Opening Duels1.7
Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time537ms−51ms
first ⅓ avg 588ms → last ⅓ avg 537ms
Headshot accuracy16.0%−2.8%
first ⅓ avg 18.8% → last ⅓ avg 16.0%

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.

Personal bests

0.21Best match rating · 9–0 · inferno, 9 Jul →
35%Best headshot accuracy · 8–13 · anubis, 25 Jul →
375msFastest reaction time · 15–15 · inferno, 4 Apr →
13–1Biggest win · ancient, 24 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 16cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A2314–961%0.01
mirageC207–1335%0.00
infernoA1610–663%0.00
nukeB147–750%-0.01
ancientB126–650%0.01
cacheD61–517%-0.02
anubis—42–250%-0.01
overpass—32–167%0.00
vertigo—21–150%-0.05

Across the last 100 tracked matches.

Lifetime stats

144,430Lifetime kills
0.87K/D
10,780Matches
62.3%Match win rate · Top 5% of Pink band
46.5%Headshot %
14.1%Shot accuracy · Top 50% of Pink band
19,198MVPs
3,412Hours (in match)
11,482Bombs planted
3,359Bombs defused

Most-used weapons

AK-4749,343
AWP18,372
P2504,724
Knife3,358
Tec-91,807
SSG 081,741

Lifetime map wins

15,788inferno
8,828train
8,589dust2
3,876cbble
2,788nuke
1,072vertigo
169lake
114office

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

Faceit stats

Combat

2,294Matches
51%Win rate
1.06Avg K/D
77.4ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3855%0.9914.2
Ancient3551%1.0313.9
Inferno3256%0.9515.8
Nuke2365%0.9714.5
Dust21567%1.3117.3
Vertigo1362%1.0215.5
Overpass743%0.8613.4
Mirage617%0.8612.8

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.

15.7%Headshot accuracy
35.4%Accuracy (enemy spotted)
40.9%Spray accuracy
76.7%Counter-strafing
8.6°Preaim
531msReaction time
35.2%T opening success
38.0%CT opening success
0.55Enemies flashed / flash
5.9%Flash assists
10.06HE damage / grenade
12.09Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.1979% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–90.0216%13 Oct →
mirage10–13-0.0314%13 Oct →
mirage8–130.0313%10 Oct →
inferno8–13-0.0519%10 Oct →
overpass11–130.0233%9 Oct →
ancient13–8-0.0113%9 Oct →
inferno13–10-0.0111%9 Oct →
inferno3–13-0.1133%3 Oct →
inferno19–170.0418%3 Oct →
anubis6–130.027%3 Oct →
dust26–13-0.0124%19 Sept →
inferno13–90.009%19 Sept →
anubis13–8-0.0418%19 Sept →
ancient11–13-0.017%10 Sept →
mirage13–110.0613%10 Sept →
dust27–13-0.0015%10 Sept →
nuke13–4-0.0120%3 Sept →
mirage4–13-0.026%3 Sept →
dust213–40.0416%3 Sept →
mirage12–16-0.0614%30 Aug →
dust213–100.0313%21 Aug →
mirage13–11-0.0015%21 Aug →
dust216–120.0315%21 Aug →
nuke13–60.0811%19 Aug →
inferno13–110.004%19 Aug →
ancient9–13-0.016%15 Aug →
mirage9–130.0118%15 Aug →
inferno8–13-0.0322%11 Aug →
dust213–8-0.0621%11 Aug →
anubis8–13-0.0235%25 Jul →
inferno13–4-0.0117%25 Jul →
mirage13–100.0611%25 Jul →
mirage5–13-0.0121%25 Jul →
inferno6–13-0.022%24 Jul →
cache13–50.0318%24 Jul →
ancient13–10.0717%24 Jul →
dust25–13-0.0532%24 Jul →
mirage2–13-0.0117%24 Jul →
dust213–60.1120%18 Jul →
nuke13–30.016%18 Jul →
mirage10–13-0.0214%18 Jul →
ancient13–40.107%17 Jul →
mirage15–15-0.0210%17 Jul →
mirage9–13-0.0324%15 Jul →
ancient6–13-0.0121%15 Jul →
mirage13–10.0816%14 Jul →
dust213–100.0113%14 Jul →
ancient14–16-0.079%14 Jul →
cache10–130.0111%14 Jul →
dust213–70.068%13 Jul →
mirage13–40.0815%13 Jul →
nuke8–80.1518%13 Jul →
vertigo6–9-0.0919%13 Jul →
ancient13–60.0211%10 Jul →
dust210–130.018%10 Jul →
cache12–160.009%9 Jul →
nuke5–9-0.1827%9 Jul →
vertigo9–5-0.019%9 Jul →
inferno9–00.2110%9 Jul →
overpass13–11-0.0020%25 Jun →
ancient13–80.0321%25 Jun →
overpass13–9-0.0117%27 May →
dust214–16-0.0517%24 May →
cache11–13-0.0516%24 May →
dust213–40.0428%15 May →
inferno8–13-0.0825%15 May →
ancient10–13-0.0213%13 May →
cache9–13-0.064%13 May →
cache12–12-0.0412%13 May →
nuke14–16-0.0220%6 Apr →
mirage13–70.0721%6 Apr →
dust213–60.0321%6 Apr →
nuke7–13-0.0717%4 Apr →
dust27–13-0.0616%4 Apr →
dust213–4-0.0622%4 Apr →
nuke13–60.0214%4 Apr →
inferno15–15-0.0230%4 Apr →
dust22–13-0.0430%4 Apr →
dust28–13-0.0032%4 Apr →
ancient4–13-0.0328%4 Apr →
mirage13–16-0.0410%4 Apr →
nuke5–9-0.0817%4 Apr →
anubis13–8-0.0015%3 Apr →
nuke7–13-0.0217%3 Apr →
dust213–30.0728%3 Apr →
inferno13–50.0115%3 Apr →
nuke13–10-0.0115%3 Apr →
nuke13–60.0517%3 Apr →
nuke13–9-0.0624%3 Apr →
dust216–140.0812%3 Apr →
mirage7–13-0.0424%1 Apr →
inferno13–9-0.0228%1 Apr →
ancient13–110.0217%31 Mar →
inferno13–50.0721%31 Mar →
dust213–9-0.0113%31 Mar →
nuke10–13-0.0111%31 Mar →
dust215–150.0322%31 Mar →
dust213–11-0.0120%31 Mar →
mirage13–7-0.0510%31 Mar →
mirage13–16-0.0418%25 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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