|SaddleSniff| Bulle

|SaddleSniff| Bulle — CS2 Stats

76561197985338291[U:1:25072563]Steam profile ↗✓ No bans

874Tracked matches32%Win rate2023Tracked since
CSDB Rating5.8 SolidAll-Rounder
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 874 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,646 +2,126 9 May – 29 May · 10 days played
14,46916,646peak 16,6469 May29 May
16,646Peak Premier in tracked matches
24Days played since 2026-04-27

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

Performance scores

Aim85
Positioning56
Utility47

0–100 skill scores via Leetify.

Recent form

COLD46–46–8Last 10046%Win rateLLLLLLWTLL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −2.4pp headshot accuracy · +6ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 527ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 499ms

Last 20

  • 4–12–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 495ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.5
Utility4.7
Positioning5.6
Opening Duels4.8
Clutch6.0

Sharp aimer

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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.

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

Aim8.5
Positioning5.6
Utility4.7
Mechanics7.1
Opening Duels4.0
Win Impact0.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time494ms−83ms
first ⅓ avg 577ms → last ⅓ avg 494ms
Headshot accuracy16.1%+0.4%
first ⅓ avg 15.7% → last ⅓ avg 16.1%

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

0.13Best match rating · 13–0 · inferno, 3 Sept →
37%Best headshot accuracy · 7–13 · vertigo, 10 Sept →
344msFastest reaction time · 6–13 · nuke, 29 Aug →
13–0Biggest win · inferno, 3 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
8–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 67% over 6cacheWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%0.00
anubisC208–1240%-0.01
nukeA1911–858%-0.01
ancientD186–1233%0.00
cacheD102–820%0.01
vertigoS64–267%0.00
overpass—21–150%-0.07
dust2—10–10%-0.01
mirage—11–0100%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

16Matches
56%Win rate
1.13Avg K/D
83.4ADR
30%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient450%1.1818.0
Nuke475%1.0019.8
Anubis475%1.4317.5
Vertigo333%1.0225.0
Inferno10%0.5213.0

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.

15.9%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.2%Spray accuracy
82.2%Counter-strafing
7.7°Preaim
486msReaction time
48.7%T opening success
43.4%CT opening success
0.47Enemies flashed / flash
2.6%Flash assists
8.34HE damage / grenade
7.18Flashes / 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 0.4704 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis6–130.0411%13 Sept →
ancient5–13-0.0113%13 Sept →
cache5–13-0.0714%13 Sept →
anubis8–13-0.023%10 Sept →
cache6–13-0.034%10 Sept →
vertigo7–13-0.0637%10 Sept →
nuke13–8-0.0616%10 Sept →
vertigo12–120.0016%9 Sept →
inferno10–130.028%9 Sept →
cache8–130.0724%9 Sept →
anubis12–120.0518%6 Sept →
cache8–130.0720%6 Sept →
inferno13–90.0618%6 Sept →
inferno16–140.0110%4 Sept →
dust23–13-0.0122%4 Sept →
ancient11–130.0813%4 Sept →
anubis4–130.0122%4 Sept →
ancient12–120.0218%3 Sept →
ancient12–120.0212%3 Sept →
nuke13–50.1017%3 Sept →
cache4–13-0.012%3 Sept →
inferno13–00.1326%3 Sept →
anubis12–120.034%3 Sept →
nuke6–13-0.0112%29 Aug →
inferno10–13-0.0115%29 Aug →
cache9–13-0.0033%29 Aug →
inferno9–130.0216%28 Aug →
cache6–60.0219%28 Aug →
nuke13–40.0616%28 Aug →
anubis13–11-0.0123%28 Aug →
nuke13–50.0221%24 Jun →
anubis13–40.0414%24 Jun →
cache3–13-0.0113%24 Jun →
inferno4–13-0.0423%24 Jun →
inferno13–5-0.0413%29 May →
overpass13–7-0.1115%29 May →
anubis13–7-0.036%29 May →
ancient16–140.0211%27 May →
ancient10–13-0.0016%27 May →
anubis8–13-0.0620%27 May →
inferno7–13-0.0028%27 May →
nuke13–3-0.0221%25 May →
inferno13–10-0.0022%25 May →
ancient10–130.0014%25 May →
nuke13–11-0.0610%25 May →
anubis6–13-0.1125%25 May →
anubis6–13-0.064%21 May →
inferno4–130.006%21 May →
inferno13–7-0.0026%21 May →
nuke9–13-0.0612%21 May →
nuke6–13-0.0211%21 May →
overpass4–13-0.033%14 May →
inferno4–13-0.0816%14 May →
ancient6–130.0412%14 May →
nuke13–6-0.0019%14 May →
nuke13–10-0.0311%14 May →
ancient13–10.026%14 May →
ancient13–5-0.0410%14 May →
anubis4–13-0.1011%14 May →
inferno13–8-0.015%14 May →
inferno11–13-0.016%13 May →
nuke3–13-0.0330%13 May →
ancient15–150.0212%13 May →
ancient4–13-0.0417%13 May →
mirage13–2-0.019%12 May →
inferno10–13-0.0318%11 May →
ancient6–13-0.019%11 May →
inferno7–13-0.0211%11 May →
ancient9–13-0.0710%10 May →
anubis6–1-0.050%10 May →
anubis8–13-0.0210%10 May →
ancient13–70.0214%10 May →
nuke4–13-0.0614%10 May →
inferno13–11-0.0413%9 May →
anubis13–90.0110%9 May →
nuke13–10-0.0211%9 May →
cache6–13-0.0121%9 May →
inferno13–50.0217%7 May →
ancient13–11-0.0114%7 May →
nuke13–100.0316%7 May →
nuke10–13-0.0818%3 May →
inferno5–00.0417%3 May →
vertigo13–50.0426%3 May →
anubis13–5-0.0315%3 May →
anubis6–00.1125%3 May →
ancient12–12-0.077%3 May →
cache13–40.038%29 Apr →
ancient13–90.0724%29 Apr →
anubis11–13-0.055%29 Apr →
vertigo13–8-0.048%29 Apr →
nuke9–13-0.0617%29 Apr →
inferno13–60.0329%29 Apr →
inferno13–4-0.0211%28 Apr →
nuke12–120.0622%28 Apr →
vertigo13–30.0136%28 Apr →
anubis7–13-0.096%28 Apr →
vertigo13–50.0718%27 Apr →
inferno13–5-0.0020%27 Apr →
anubis13–50.1220%27 Apr →
nuke13–110.0325%27 Apr →

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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