Sandra Bullet

Sandra Bullet — CS2 Stats

FI76561199009508462[U:1:1049242734]Steam profile ↗✓ No bans

3,114Tracked matches43%Win rate2020Tracked since
5,761Hours in CS16Hrs last 2 wks
CSDB Rating3.8 LearningSupport
Premier CS Rating9,678Light Blue band · top ~56.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 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: 9,678 -2,013 29 May – 3 Nov · 27 days played
8,43011,691peak 11,69129 May3 Nov
12,579Peak Premier in tracked matches
39Days played since 2026-05-29

Premier CS Rating

  • 2,013 below peak (11,691)
  • -218 over 30 days · steady
  • Next: Blue band at 10,000 — 322 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-10-16
  • Light Blue band first seen 2026-10-04

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
Matches6739+28
Win rate45%36%+9pp
K/D0.560.50+0.06
Headshot %40%48%−8pp

Measured 4 Oct 2026 → 5 Nov 2026; previous 5 Sep 2026 → 4 Oct 2026.

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 4 among CSDB-tracked players (n=14,630), 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 rate34.2%42.7%43.8%9.5% short
Shot accuracy12.4%11.2%12.0%above
Kill/death ratio0.730.991.020.29 short
Match win rate42.0%43.9%44.7%2.7% short

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

Widest gap: Kill/death ratio. 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.GGSandra BulletFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,678 · 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

Aim43
Positioning39
Utility58

0–100 skill scores via Leetify.

Recent form

COLD34–62–4Last 10034%Win rateWWLLLLLLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +4.2pp headshot accuracy · −63ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 708ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 687ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 718ms

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 (+2.7 against its own average).

Aim4.3
Utility5.8
Positioning3.9
Opening Duels0.0
Clutch2.8

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

iM

Plays most like iM 66% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 49% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 696ms 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

Aim4.3
Positioning3.9
Utility5.8
Mechanics5.3
Opening Duels2.4
Win Impact2.8

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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time685ms+11ms
first ⅓ avg 674ms → last ⅓ avg 685ms
Headshot accuracy16.2%−1.8%
first ⅓ avg 18.0% → last ⅓ avg 16.2%

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

0.08Best match rating · 7–0 · inferno, 21 Aug →
48%Best headshot accuracy · 13–11 · cache, 25 Sept →
313msFastest reaction time · 7–0 · inferno, 21 Aug →
13–3Biggest win · nuke, 15 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 40% over 10ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2810–1836%-0.05
nukeC197–1237%-0.03
infernoD134–931%-0.05
cacheD103–730%-0.05
anubisC104–640%-0.04
ancientD91–811%-0.06
mirageC83–538%-0.05
train—21–150%-0.08
vertigo—11–0100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

97,554Lifetime kills
0.73K/D
6,606Matches
42.0%Match win rate
34.2%Headshot %
12.4%Shot accuracy · Top 50% of Level 4 players
10,524MVPs
3,060Hours (in match)
7,148Bombs planted
1,276Bombs defused

Most-used weapons

AK-4716,976
AWP10,965
XM10144,022
SG 5533,886
P902,916
AUG2,702

Lifetime map wins

16,834inferno
15,332dust2
14,929nuke
2,592train
1,668vertigo
354office
204cbble
58lake

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

Faceit stats

Combat

344Matches
46%Win rate
0.72Avg K/D
63.8ADR
36%Headshot %

Clutches & streaks

34%1v1 clutch win
11%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke6360%0.7310.8
Inferno5459%0.7912.2
Dust23926%0.6411.0
Anubis2532%0.6611.4
Ancient119%0.6110.9
Mirage1145%0.7310.4
Vertigo40%0.5115.0
Overpass20%0.385.5

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.

16.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.8%Spray accuracy
73.8%Counter-strafing
11.0°Preaim
696msReaction time
49.1%T opening success
29.6%CT opening success
0.64Enemies flashed / flash
7.3%Flash assists
6.97HE damage / grenade
10.48Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.5749% — below the 40% mark we flag

Spend your practice time on Ancient

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0315%3 Nov →
nuke13–110.0120%31 Oct →
inferno3–13-0.0410%31 Oct →
dust210–13-0.0529%31 Oct →
dust28–13-0.0125%31 Oct →
nuke4–13-0.0833%30 Oct →
dust25–13-0.0618%30 Oct →
inferno1–13-0.129%30 Oct →
dust214–16-0.0126%30 Oct →
cache10–13-0.0213%30 Oct →
cache13–9-0.118%23 Oct →
dust25–13-0.059%23 Oct →
nuke11–13-0.0117%21 Oct →
ancient13–11-0.0722%17 Oct →
dust24–13-0.0519%17 Oct →
dust28–13-0.0823%17 Oct →
mirage5–13-0.0510%17 Oct →
cache5–13-0.0512%17 Oct →
nuke13–110.0315%17 Oct →
inferno9–13-0.1122%17 Oct →
anubis13–11-0.0210%17 Oct →
dust213–80.0216%17 Oct →
ancient8–13-0.0119%16 Oct →
anubis7–13-0.0619%16 Oct →
mirage13–8-0.0411%16 Oct →
inferno13–5-0.097%16 Oct →
inferno13–6-0.0317%15 Oct →
dust213–4-0.0323%15 Oct →
nuke13–3-0.0413%15 Oct →
nuke13–5-0.036%15 Oct →
anubis11–13-0.0611%15 Oct →
dust215–150.0017%15 Oct →
mirage10–13-0.0413%2 Oct →
ancient15–15-0.0412%2 Oct →
nuke13–11-0.0819%2 Oct →
anubis10–13-0.0414%2 Oct →
anubis13–70.0129%1 Oct →
mirage13–9-0.056%30 Sept →
dust213–9-0.0723%30 Sept →
mirage7–13-0.058%25 Sept →
cache13–11-0.0148%25 Sept →
nuke7–130.007%25 Sept →
inferno9–13-0.066%24 Sept →
anubis13–60.0512%24 Sept →
ancient13–16-0.0612%23 Sept →
dust213–6-0.0218%12 Sept →
nuke7–13-0.0929%5 Sept →
mirage13–8-0.0413%5 Sept →
nuke12–16-0.1213%5 Sept →
cache4–13-0.0415%5 Sept →
dust29–13-0.0910%5 Sept →
inferno13–10-0.0614%5 Sept →
dust213–8-0.0120%4 Sept →
nuke9–13-0.0510%4 Sept →
mirage15–15-0.0514%28 Aug →
inferno10–13-0.0319%28 Aug →
dust28–13-0.0612%28 Aug →
inferno9–13-0.0522%28 Aug →
dust210–13-0.0535%28 Aug →
dust213–4-0.0415%22 Aug →
nuke8–13-0.0610%22 Aug →
dust28–13-0.0911%22 Aug →
dust27–13-0.0822%21 Aug →
cache7–13-0.0410%21 Aug →
inferno7–00.080%21 Aug →
train10–13-0.1116%14 Aug →
train13–11-0.0426%14 Aug →
dust26–130.0629%11 Aug →
ancient0–13-0.0724%11 Aug →
nuke5–130.0317%11 Aug →
inferno3–13-0.1214%11 Aug →
anubis4–13-0.0916%11 Aug →
cache6–13-0.0713%11 Aug →
cache6–13-0.0918%11 Aug →
nuke13–50.0719%11 Aug →
anubis1–13-0.1121%8 Aug →
dust213–11-0.0533%8 Aug →
dust213–5-0.059%8 Aug →
nuke11–13-0.0916%8 Aug →
dust24–13-0.0614%7 Aug →
inferno8–8-0.0324%1 Aug →
nuke10–13-0.0228%21 Jul →
dust213–6-0.0613%14 Jul →
cache13–10-0.0314%9 Jul →
cache9–13-0.0140%3 Jul →
ancient9–13-0.0218%2 Jul →
dust23–13-0.1117%23 Jun →
dust211–13-0.0517%16 Jun →
dust26–13-0.089%12 Jun →
anubis13–11-0.0128%12 Jun →
ancient14–16-0.0720%11 Jun →
nuke5–130.0415%11 Jun →
mirage8–13-0.0822%10 Jun →
dust213–10-0.0920%10 Jun →
ancient7–13-0.088%8 Jun →
vertigo13–90.008%6 Jun →
inferno7–13-0.057%6 Jun →
anubis5–13-0.068%6 Jun →
ancient4–13-0.0810%4 Jun →
nuke5–13-0.1127%29 May →

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.