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big stunna

big stunna — CS2 Stats

AU76561198125708768[U:1:165443040]Steam profile ↗✓ No bans

1,369Tracked matches47%Win rate2026Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating19,307Top 50% of 210,006 CSDB-tracked playersPurple band · top ~11.3% of ranked players (population est.)
CSDB Leaderboard#94406 of 257091 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−575Premier CS Rating · 19,882 → 19,307

Rating over time

Premier CS Rating: 19,307 +5,708 31 Aug – 24 Oct · 18 days played
13,59922,860peak 22,86031 Aug24 Oct
23,020Peak Premier in tracked matches
15Days played since 2026-08-31

Premier CS Rating

  • 3,553 below peak (22,860)
  • Next: Pink band at 20,000 — 693 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-10-19
  • Purple band first seen 2026-09-03

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

Share this profile

CSDB.GGbig stunnaFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER19,307 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning70
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLLLWWLLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.2pp headshot accuracy · +41ms 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 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 534ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 514ms

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 (+1.8 against its own average).

Aim6.5
Utility3.8
Positioning7.0
Opening Duels6.2
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

s1mple

Plays most like s1mple 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.5
Positioning7.0
Utility3.8
Mechanics3.5
Opening Duels6.8
Win Impact3.9

Composite 5.5/10 (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 rating-0.00−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time503ms+15ms
first ⅓ avg 488ms → last ⅓ avg 503ms
Headshot accuracy10.0%−1.5%
first ⅓ avg 11.5% → last ⅓ avg 10.0%

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

0.15Best match rating · 13–7 · anubis, 10 Oct →
24%Best headshot accuracy · 13–6 · anubis, 14 Oct →
352msFastest reaction time · 13–11 · nuke, 18 Oct →
13–2Biggest win · ancient, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB1910–953%0.02
infernoD196–1332%-0.01
dust2A1810–856%0.00
ancientA149–564%0.01
cacheA127–558%-0.00
anubisS107–370%0.02
nukeS86–275%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

48Matches
44%Win rate
1.07Avg K/D
89.8ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
15%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1267%1.2617.3
Dust21050%1.1317.0
Ancient933%0.9714.8
Inferno633%1.0616.2
Nuke450%0.7916.8
Anubis40%0.9216.8
Cache333%0.9817.7

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.

9.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
39.1%Spray accuracy
65.7%Counter-strafing
8.6°Preaim
499msReaction time
56.0%T opening success
58.4%CT opening success
0.57Enemies flashed / flash
6.5%Flash assists
4.23HE damage / grenade
7.61Flashes / 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. 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 9.6764% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Inferno

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.018%24 Oct →
mirage11–13-0.026%24 Oct →
mirage11–130.1010%24 Oct →
dust28–13-0.0611%23 Oct →
ancient13–6-0.0015%23 Oct →
dust213–110.0712%23 Oct →
inferno4–13-0.065%23 Oct →
inferno9–13-0.0712%23 Oct →
cache13–8-0.092%23 Oct →
ancient13–80.0311%23 Oct →
mirage4–130.023%22 Oct →
anubis16–130.0512%21 Oct →
inferno6–13-0.055%21 Oct →
mirage4–130.0717%21 Oct →
dust216–14-0.0210%21 Oct →
cache2–13-0.1011%21 Oct →
dust29–13-0.0316%21 Oct →
ancient6–13-0.035%20 Oct →
mirage13–80.074%20 Oct →
dust213–40.0121%20 Oct →
inferno8–13-0.0210%20 Oct →
inferno7–13-0.006%20 Oct →
anubis13–8-0.047%20 Oct →
dust213–90.0412%20 Oct →
dust28–13-0.106%20 Oct →
anubis13–70.017%20 Oct →
ancient10–13-0.038%20 Oct →
mirage13–90.0515%20 Oct →
inferno11–130.0314%19 Oct →
mirage13–30.067%19 Oct →
cache3–13-0.0311%19 Oct →
inferno13–110.0311%19 Oct →
cache1–100.0120%19 Oct →
dust211–13-0.038%19 Oct →
nuke15–150.0111%19 Oct →
ancient12–160.0211%19 Oct →
cache10–13-0.0117%19 Oct →
nuke13–30.0014%19 Oct →
cache7–13-0.0422%19 Oct →
inferno15–15-0.008%19 Oct →
mirage7–130.006%19 Oct →
inferno0–2-0.010%19 Oct →
nuke13–110.026%18 Oct →
cache13–80.016%18 Oct →
nuke16–120.0911%18 Oct →
nuke9–13-0.0014%18 Oct →
ancient6–13-0.0113%18 Oct →
anubis7–13-0.028%18 Oct →
dust213–90.0611%18 Oct →
inferno13–8-0.0212%18 Oct →
cache13–90.0115%18 Oct →
ancient13–80.027%18 Oct →
dust213–8-0.067%18 Oct →
inferno11–13-0.032%16 Oct →
inferno16–14-0.059%16 Oct →
mirage3–13-0.0210%16 Oct →
nuke16–14-0.029%16 Oct →
cache13–40.0115%16 Oct →
mirage13–70.0110%15 Oct →
anubis9–13-0.019%15 Oct →
inferno6–13-0.056%15 Oct →
dust213–110.0513%15 Oct →
mirage13–16-0.0110%15 Oct →
mirage13–8-0.059%15 Oct →
inferno13–40.065%15 Oct →
nuke13–100.005%15 Oct →
anubis8–13-0.048%14 Oct →
cache13–40.0714%14 Oct →
mirage11–13-0.016%14 Oct →
ancient13–90.0513%14 Oct →
anubis13–60.0224%14 Oct →
mirage10–13-0.0011%14 Oct →
mirage13–90.0316%14 Oct →
cache13–50.058%14 Oct →
dust213–6-0.0214%14 Oct →
inferno8–130.0010%14 Oct →
ancient15–15-0.0112%13 Oct →
cache13–50.097%13 Oct →
mirage16–130.119%13 Oct →
inferno10–130.026%13 Oct →
ancient13–110.0312%13 Oct →
ancient13–5-0.016%13 Oct →
dust28–130.0417%13 Oct →
dust210–130.0212%13 Oct →
inferno13–110.0313%12 Oct →
dust213–50.1022%11 Oct →
inferno16–130.069%11 Oct →
mirage13–10-0.0511%11 Oct →
dust213–9-0.0011%11 Oct →
ancient13–10-0.015%10 Oct →
dust211–130.0310%10 Oct →
anubis13–70.1513%10 Oct →
mirage13–70.059%10 Oct →
anubis13–70.1215%10 Oct →
inferno4–130.0211%10 Oct →
nuke8–30.044%10 Oct →
dust26–13-0.0112%10 Oct →
mirage16–130.016%10 Oct →
ancient13–20.1016%9 Oct →
anubis13–90.0316%9 Oct →

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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