BigDrop

BigDrop — CS2 Stats

76561199668586266[U:1:1708320538]Steam profile ↗✓ No bans

2,047Tracked matches57%Win rate2024Tracked since
CSDB Rating6.2 SolidSupport
FaceitLevel 6 · 1,798 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 2,047 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 61 days played since 19 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,999 -1,227 19 May29 Jun · 14 days played
14,89217,111peak 17,11119 May29 Jun
Faceit ELO: 1,798 +0 28 Aug18 Sept · 4 observations
1,7981,798peak 1,79828 Aug18 Sept
17,111Peak Premier in tracked matches
1,798Highest Faceit ELO seen on CSDB
61Days played since 2026-05-19

Faceit ELO

  • At peak — 1,798
  • Next: Level 10 at 2,001 203 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGBigDropFACEITLevel 6 · 1,798 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,798csdb.gg/stats

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Performance scores

Aim83
Positioning52
Utility53

0–100 skill scores via Leetify.

Recent form

COLD49501Last 10049%Win rateLLWLLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −2.6pp headshot accuracy · +13ms 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

  • 14 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 565ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 550ms

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: SupportUtility contribution stands above the rest of this profile (+1.4 against its own average).

Aim8.3
Utility5.3
Positioning5.2
Opening Duels1.9
Clutch3.0

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 94% playstyle similarity

Most alike: utility contribution, 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 46% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.2
Utility5.3
Mechanics8.4
Opening Duels1.9
Win Impact7.2

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time547ms−70ms
first ⅓ avg 617ms → last ⅓ avg 547ms
Headshot accuracy14.9%−1.6%
first ⅓ avg 16.5% → last ⅓ avg 14.9%

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

0.26Best match rating · 13–2 · anubis, 5 Jun
37%Best headshot accuracy · 3–13 · inferno, 21 Jul
414msFastest reaction time · 13–7 · ancient, 21 Aug
13–2Biggest win · mirage, 16 Jul

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
114In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 64% over 14infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C1871139%-0.01
mirageA159660%0.00
ancientB158753%0.02
cacheA149564%0.03
anubisB147750%0.02
infernoC114736%-0.00
nukeC104640%0.01
debris1010%-0.08
vertigo1010%0.01
overpass110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

782Matches
48%Win rate
1.12Avg K/D
81.5ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage21148%1.0715.4
Dust214546%1.0616.2
Ancient11247%1.1817.5
Inferno9554%1.1716.6
Nuke9149%1.2516.9
Anubis4835%1.0415.8
Cache4058%1.1316.2
Train2050%1.2216.4

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.

14.7%Headshot accuracy
39.0%Accuracy (enemy spotted)
41.3%Spray accuracy
87.6%Counter-strafing
9.1°Preaim
549msReaction time
26.0%T opening success
45.5%CT opening success
0.57Enemies flashed / flash
5.0%Flash assists
11.58HE damage / grenade
9.31Flashes / 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 14.7059% — below the 15% mark we flag

    Aim Training
  2. 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 25.968% — below the 40% mark we flag

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache14–160.0515%6 Sept
debris1–9-0.089%6 Sept
cache13–7-0.0023%5 Sept
mirage12–16-0.1010%4 Sept
nuke2–13-0.0512%2 Sept
nuke6–13-0.0223%2 Sept
inferno8–130.0422%31 Aug
mirage13–80.0111%30 Aug
dust24–13-0.066%30 Aug
cache13–7-0.0414%28 Aug
mirage13–70.1316%27 Aug
mirage13–110.0220%26 Aug
cache9–13-0.0026%25 Aug
vertigo8–130.0114%24 Aug
cache9–130.0512%23 Aug
cache10–13-0.0216%22 Aug
dust24–13-0.0224%22 Aug
ancient13–7-0.0521%21 Aug
cache13–60.108%17 Aug
dust219–17-0.0614%17 Aug
cache13–9-0.0219%16 Aug
anubis13–40.0418%13 Aug
mirage22–19-0.0112%12 Aug
ancient13–90.0215%12 Aug
mirage13–50.0017%11 Aug
anubis9–130.0511%11 Aug
ancient19–16-0.018%8 Aug
anubis13–90.0011%8 Aug
mirage0–13-0.0618%6 Aug
dust216–130.0311%5 Aug
cache13–110.037%4 Aug
ancient13–70.0318%3 Aug
ancient13–40.0010%2 Aug
nuke16–140.0312%2 Aug
mirage12–160.0118%1 Aug
dust210–13-0.0420%1 Aug
anubis13–110.0422%1 Aug
mirage13–8-0.0311%30 Jul
nuke7–13-0.029%29 Jul
ancient7–130.0522%29 Jul
dust213–110.0217%28 Jul
ancient4–13-0.0327%28 Jul
anubis4–12-0.0518%28 Jul
ancient9–130.0229%26 Jul
cache13–9-0.0026%26 Jul
cache13–60.0314%26 Jul
inferno16–130.0015%25 Jul
nuke6–130.0611%23 Jul
inferno6–13-0.0321%23 Jul
inferno10–130.0011%23 Jul
cache13–60.0910%22 Jul
inferno3–130.0237%21 Jul
inferno8–13-0.0117%20 Jul
nuke13–10-0.0524%20 Jul
dust28–13-0.0116%19 Jul
inferno13–11-0.0223%18 Jul
mirage13–40.0411%18 Jul
ancient11–130.0419%18 Jul
ancient5–30.1011%18 Jul
cache9–130.0322%17 Jul
anubis10–13-0.0312%17 Jul
ancient9–130.0314%17 Jul
mirage13–20.1017%16 Jul
dust216–13-0.0310%16 Jul
mirage5–13-0.039%16 Jul
anubis0–13-0.078%16 Jul
nuke13–60.0916%14 Jul
anubis0–13-0.0717%14 Jul
dust28–13-0.037%11 Jul
inferno9–13-0.029%11 Jul
nuke5–13-0.0616%9 Jul
mirage4–130.0424%8 Jul
inferno13–100.0214%8 Jul
anubis5–13-0.0119%7 Jul
anubis19–170.0213%7 Jul
dust210–130.0834%6 Jul
inferno13–9-0.0121%29 Jun
dust28–130.0426%27 Jun
overpass13–60.0322%27 Jun
mirage13–16-0.049%25 Jun
mirage13–7-0.0312%22 Jun
ancient7–130.0026%19 Jun
anubis13–11-0.039%18 Jun
dust23–11-0.0816%9 Jun
dust29–13-0.0112%7 Jun
nuke13–80.0718%7 Jun
ancient13–90.049%6 Jun
anubis7–13-0.018%6 Jun
cache13–100.118%6 Jun
anubis13–20.2618%5 Jun
dust213–10-0.0619%4 Jun
dust216–140.0620%4 Jun
ancient13–70.0616%31 May
ancient5–130.0216%31 May
dust213–5-0.0218%30 May
dust211–13-0.0019%28 May
inferno6–13-0.0423%24 May
dust212–120.0818%24 May
anubis13–70.1114%24 May
nuke11–130.0316%19 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 →