Syrian Brown Bear

Syrian Brown Bear — CS2 Stats

76561198104349477[U:1:144083749]Steam profile ↗✓ No bans

728Tracked matches67%Win rate2021Tracked since
3,610Hours in CS1Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
Premier CS Rating26,554Top 5% of 204,219 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#8750 of 251362 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (10 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: 26,554 +3,657 25 May – 3 Oct · 16 days played
21,23626,662peak 26,66225 May3 Oct
26,874Peak Premier in tracked matches
53Days played since 2026-05-25

Premier CS Rating

  • 108 below peak (26,662)
  • +4,683 over 90 days
  • Next: Gold band at 30,000 — 3,446 to go
  • Reached: Red band · Pink band · Purple band · 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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate53.1%49.2%50.7%above
Shot accuracy17.7%13.4%11.8%above
Kill/death ratio1.061.121.180.12 short
Match win rate44.7%48.5%51.9%7.2% short

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

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

Share this profile

CSDB.GGSyrian Brown BearPREMIER26,554 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning64
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateLLWWLWLWWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · +27ms reaction

Win rate down 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 14%
  • Avg reaction 527ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 523ms

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 (+2.1 against its own average).

Aim8.0
Utility3.5
Positioning6.4
Opening Duels3.5
Clutch3.8

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 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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 →

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.

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

Aim8.0
Positioning6.4
Utility3.5
Mechanics6.3
Opening Duels4.0
Win Impact10.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time555ms−53ms
first ⅓ avg 608ms → last ⅓ avg 555ms
Headshot accuracy22.1%−2.7%
first ⅓ avg 24.7% → last ⅓ avg 22.1%

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

0.14Best match rating · 13–8 · mirage, 17 Jun →
62%Best headshot accuracy · 0–13 · inferno, 26 Jun →
391msFastest reaction time · 13–9 · mirage, 18 Sept →
13–2Biggest win · mirage, 25 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 63% over 19anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3314–1942%-0.01
ancientA1912–763%0.01
infernoB178–947%0.01
dust2B137–654%0.00
anubisD72–529%0.00
cacheD62–433%0.00
nuke—32–167%-0.03
overpass—21–150%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,522Lifetime kills
1.06K/D
5,120Matches
44.7%Match win rate
53.1%Headshot % · Top 50% of Red band
17.7%Shot accuracy · Top 25% of Red band
18,030MVPs
5,525Hours (in match)
3,592Bombs planted
3,263Bombs defused

Most-used weapons

AK-4760,384
AWP20,767
P2504,536
UMP-451,810
SG 5531,670
AUG1,620

Lifetime map wins

8,865dust2
8,282inferno
2,927train
1,784cbble
1,372nuke
868vertigo
104lake
40shorttrain

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

Faceit stats

Combat

310Matches
53%Win rate
1.16Avg K/D
78.5ADR
50%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6455%1.0716.4
Ancient3155%1.1014.7
Inferno3053%1.1115.1
Cache1861%1.0917.5
Dust21741%1.0516.6
Anubis1136%1.0914.6
Nuke1070%0.9816.9
Overpass862%1.1017.0

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.

22.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
39.4%Spray accuracy
78.5%Counter-strafing
9.2°Preaim
544msReaction time
47.2%T opening success
44.6%CT opening success
0.38Enemies flashed / flash
3.7%Flash assists
8.02HE damage / grenade
8.06Flashes / 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 0.3788 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis0–3-0.010%3 Oct →
ancient10–130.0016%25 Sept →
inferno13–90.0313%25 Sept →
ancient13–8-0.0121%25 Sept →
cache9–13-0.0422%24 Sept →
dust213–10-0.0125%23 Sept →
dust213–16-0.0229%20 Sept →
ancient12–30.0140%20 Sept →
mirage13–10-0.0117%20 Sept →
ancient13–9-0.0126%20 Sept →
dust213–7-0.0231%20 Sept →
ancient13–70.0323%20 Sept →
inferno12–16-0.0220%19 Sept →
dust213–110.0225%19 Sept →
inferno1–8-0.0825%19 Sept →
dust213–30.0713%19 Sept →
mirage13–9-0.0428%18 Sept →
mirage13–7-0.0618%18 Sept →
mirage13–60.0316%11 Sept →
inferno13–30.1027%11 Sept →
anubis13–100.0621%11 Sept →
ancient10–130.0522%7 Sept →
cache13–70.0426%6 Sept →
dust216–12-0.0425%6 Sept →
inferno13–8-0.0227%20 Aug →
dust213–100.0514%5 Aug →
mirage13–100.0514%4 Aug →
mirage5–130.0124%3 Aug →
ancient7–13-0.0523%2 Aug →
anubis11–13-0.0418%1 Aug →
mirage6–13-0.0225%23 Jul →
mirage13–4-0.0823%22 Jul →
inferno8–13-0.0733%21 Jul →
cache11–130.0223%18 Jul →
dust29–13-0.0213%17 Jul →
mirage2–13-0.0513%16 Jul →
mirage13–90.0213%14 Jul →
cache5–13-0.0328%13 Jul →
ancient13–100.0830%11 Jul →
anubis13–6-0.0230%7 Jul →
dust215–19-0.0124%6 Jul →
ancient13–6-0.0218%5 Jul →
mirage10–130.0112%5 Jul →
cache16–14-0.0123%5 Jul →
mirage10–13-0.0215%5 Jul →
mirage5–130.0122%3 Jul →
mirage11–130.0222%3 Jul →
inferno13–90.0136%1 Jul →
ancient7–13-0.1112%1 Jul →
mirage3–13-0.0532%30 Jun →
ancient13–110.0827%29 Jun →
overpass6–13-0.0333%28 Jun →
mirage0–13-0.1231%28 Jun →
mirage1–13-0.0817%26 Jun →
mirage8–130.0616%26 Jun →
ancient13–4-0.0510%26 Jun →
mirage13–8-0.0115%26 Jun →
mirage19–17-0.0320%26 Jun →
dust27–13-0.0436%26 Jun →
mirage9–130.0214%26 Jun →
inferno0–13-0.0962%26 Jun →
cache12–120.0230%25 Jun →
mirage13–2-0.038%25 Jun →
ancient13–30.0412%24 Jun →
overpass13–110.0019%23 Jun →
mirage13–9-0.0525%23 Jun →
inferno5–13-0.0930%22 Jun →
inferno13–90.0534%20 Jun →
mirage13–40.0731%19 Jun →
ancient3–13-0.0423%19 Jun →
nuke13–7-0.0423%19 Jun →
ancient13–110.0229%19 Jun →
anubis4–130.0133%18 Jun →
dust213–90.0529%18 Jun →
mirage13–16-0.0021%17 Jun →
dust210–13-0.0420%17 Jun →
ancient13–100.0626%17 Jun →
mirage13–80.1425%17 Jun →
mirage13–110.0226%16 Jun →
mirage5–13-0.1514%16 Jun →
inferno13–70.0620%12 Jun →
anubis14–160.0125%12 Jun →
ancient13–110.0429%12 Jun →
inferno11–130.0934%11 Jun →
inferno13–90.0731%11 Jun →
mirage9–13-0.0017%10 Jun →
nuke13–9-0.0227%10 Jun →
mirage1–13-0.0336%10 Jun →
ancient8–130.0129%9 Jun →
mirage6–13-0.0821%7 Jun →
inferno15–150.0418%6 Jun →
anubis8–13-0.0029%6 Jun →
mirage3–130.0022%6 Jun →
ancient7–130.0719%3 Jun →
nuke11–13-0.0410%3 Jun →
inferno16–140.0227%27 May →
dust25–130.0233%26 May →
inferno8–130.0019%25 May →
mirage5–130.0218%25 May →
inferno6–130.0120%25 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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