BigSmoke

BigSmoke — CS2 Stats

CU76561198006080984[U:1:45815256]Steam profile ↗✓ No bans

1,778Tracked matches48%Win rate2023Tracked since
2,640Hours in CS40Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 7 · 1,396 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGBigSmokeFACEITLevel 7 · 1,396 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning57
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY47–42–11Last 10047%Win rateLWTWWLTWLL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −1.1pp headshot accuracy · −2ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 514ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 546ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

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 (+1.6 against its own average).

Aim6.7
Utility2.9
Positioning5.7
Opening Duels4.9
Clutch2.8

Strong CT-side openerLimited utility dependence

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: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

T-side openings. Opening success drops from 58% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim6.7
Positioning5.7
Utility2.9
Mechanics5.3
Opening Duels5.0
Win Impact4.4

Composite 4.8/10 (Developing), 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 rating0.01+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time577ms−88ms
first ⅓ avg 665ms → last ⅓ avg 577ms
Headshot accuracy17.0%+2.7%
first ⅓ avg 14.3% → last ⅓ avg 17.0%

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

0.23Best match rating · 9–4 · inferno, 10 Jun →
45%Best headshot accuracy · 1–13 · nuke, 9 Aug →
406msFastest reaction time · 5–8 · vertigo, 9 Aug →
13–0Biggest win · nuke, 23 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 70% over 10cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB157–847%0.00
cacheD112–918%-0.02
nukeB105–550%0.00
mirageS107–370%0.03
ancientB84–450%0.01
poseidonD82–625%-0.03
vertigoC73–443%0.02
anubisA74–357%-0.01
overpassA53–260%0.05
office—42–250%0.02
train—42–250%0.04
alpine—42–250%0.01
dust2—32–167%0.02
debris—21–150%0.01
italy—11–0100%0.03
sanctum—10–10%-0.17

Across the last 100 tracked matches.

Lifetime stats

59,250Lifetime kills
0.95K/D
3,763Matches
47.3%Match win rate
41.6%Headshot %
4.5%Shot accuracy
8,402MVPs
1,446Hours (in match)
5,039Bombs planted
771Bombs defused

Most-used weapons

Lifetime map wins

7,886nuke
5,996inferno
3,938dust2
1,733vertigo
810train
161office
79italy
25cbble

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

Faceit stats

Combat

793Matches
50%Win rate
1.09Avg K/D
82.9ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno14544%1.0616.1
Mirage14343%1.0315.9
Nuke13761%1.2818.1
Anubis11854%1.0817.0
Cache7555%1.0416.6
Dust26444%0.9914.8
Ancient6146%0.9815.3
Overpass3653%1.0716.6

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.

17.3%Headshot accuracy
36.3%Accuracy (enemy spotted)
37.2%Spray accuracy
73.9%Counter-strafing
9.9°Preaim
585msReaction time
42.5%T opening success
57.7%CT opening success
0.36Enemies flashed / flash
2.7%Flash assists
6.74HE damage / grenade
1.99Flashes / 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 0.3631 — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass8–13-0.0025%4 Nov →
vertigo13–90.0920%4 Nov →
nuke15–150.0311%3 Nov →
mirage13–10.1620%3 Nov →
office13–70.0421%3 Nov →
ancient9–130.036%28 Oct →
ancient15–150.0414%22 Oct →
mirage13–110.0316%16 Oct →
cache9–13-0.0223%8 Oct →
cache9–13-0.0111%25 Sept →
poseidon9–60.0513%11 Sept →
anubis10–13-0.0518%10 Sept →
inferno3–9-0.125%8 Sept →
debris6–9-0.0710%4 Sept →
ancient13–3-0.0315%2 Sept →
cache7–130.0114%24 Aug →
vertigo5–80.1522%9 Aug →
nuke1–130.0145%9 Aug →
inferno10–13-0.0323%26 Jul →
debris9–60.1013%10 Jul →
mirage13–80.0926%9 Jul →
mirage2–13-0.0120%7 Jul →
mirage11–130.0125%7 Jul →
nuke13–80.088%7 Jul →
ancient7–13-0.0121%6 Jul →
cache13–50.0114%4 Jul →
cache4–13-0.057%29 Jun →
dust213–80.0112%29 Jun →
overpass13–100.0212%23 Jun →
inferno7–9-0.0621%23 Jun →
inferno3–9-0.0920%22 Jun →
poseidon9–60.0315%22 Jun →
train13–5-0.0017%22 Jun →
train12–120.1124%22 Jun →
nuke2–13-0.0711%20 Jun →
inferno9–40.2313%10 Jun →
inferno9–60.1126%10 Jun →
italy13–70.0317%10 Jun →
mirage13–110.0112%9 Jun →
inferno9–3-0.060%4 Jun →
overpass9–00.2114%3 Jun →
inferno9–20.1319%3 Jun →
vertigo6–130.059%3 Jun →
vertigo8–13-0.0218%3 Jun →
vertigo8–13-0.039%3 Jun →
anubis13–80.0816%28 May →
anubis13–3-0.0417%28 May →
ancient11–130.0712%26 May →
alpine13–30.0817%26 May →
vertigo13–5-0.068%26 May →
anubis13–4-0.0020%24 May →
inferno5–9-0.1129%23 May →
inferno9–00.1633%23 May →
nuke5–90.0223%23 May →
inferno9–50.015%23 May →
poseidon6–90.043%23 May →
poseidon8–8-0.0315%23 May →
poseidon7–9-0.1113%23 May →
sanctum1–9-0.1722%23 May →
train13–100.0831%23 May →
ancient16–140.0410%23 May →
nuke13–00.0215%23 May →
mirage13–20.0128%23 May →
inferno11–13-0.0310%23 May →
anubis4–13-0.0814%22 May →
anubis16–13-0.0314%21 May →
ancient5–4-0.080%21 May →
inferno14–16-0.0611%21 May →
overpass13–110.0113%21 May →
nuke2–13-0.085%21 May →
dust213–00.0813%21 May →
cache2–13-0.138%20 May →
overpass12–120.0412%20 May →
alpine12–12-0.0611%20 May →
ancient13–100.0212%20 May →
poseidon4–9-0.0730%20 May →
dust212–12-0.029%20 May →
mirage13–7-0.0211%20 May →
alpine12–120.0122%19 May →
office12–120.0217%17 May →
cache13–80.059%17 May →
inferno13–6-0.0024%17 May →
mirage6–130.0015%17 May →
nuke13–5-0.036%17 May →
cache7–13-0.0119%17 May →
cache9–130.0312%16 May →
mirage13–100.0624%16 May →
train8–13-0.0310%16 May →
alpine13–50.0017%16 May →
nuke9–40.0610%16 May →
vertigo9–6-0.0411%16 May →
cache11–13-0.0610%15 May →
office11–130.0528%14 May →
office13–8-0.0430%14 May →
poseidon6–9-0.1013%11 May →
poseidon8–8-0.0414%10 May →
inferno11–13-0.0313%8 May →
nuke13–8-0.046%8 May →
anubis10–130.0313%8 May →
cache12–12-0.0113%8 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 →

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