BigSlapper

BigSlapper — CS2 Stats

76561197975620628[U:1:15354900]Steam profile ↗✓ No bans

1,144Tracked matches48%Win rate2020Tracked since
1,905Hours in CS
CSDB Rating6.2 SolidSupport
Premier CS Rating21,853Top 50% of 210,832 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#57731 of 258137 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (6 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: 21,853 -2,365 8 Jun – 21 Oct · 42 days played
19,38524,507peak 24,5078 Jun21 Oct
24,507Peak Premier in tracked matches
53Days played since 2026-06-08

Premier CS Rating

  • 2,654 below peak (24,507)
  • +1,273 over 30 days · improving
  • +1,442 over 90 days
  • Next: Red band at 25,000 — 3,147 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate38.5%46.8%48.2%9.7% short
Shot accuracy14.3%13.0%13.2%above
Kill/death ratio1.151.061.07above
Match win rate43.6%46.3%46.9%3.3% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBigSlapperFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,853 · Pink 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

Aim85
Positioning40
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWWLWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.06 avg rating · −2.3pp headshot accuracy · +9ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 620ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 616ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 612ms

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 (+3.1 against its own average).

Aim8.5
Utility6.6
Positioning4.0
Opening Duels0.0
Clutch3.2

Sharp aimerEffective flashes

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

b1t

Plays most like b1t 69% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

Reaction time. 604ms 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

Aim8.5
Positioning4.0
Utility6.6
Mechanics8.3
Opening Duels0.3
Win Impact4.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time610ms−22ms
first ⅓ avg 631ms → last ⅓ avg 610ms
Headshot accuracy18.8%+2.1%
first ⅓ avg 16.7% → last ⅓ avg 18.8%

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

0.11Best match rating · 13–9 · mirage, 1 Oct →
43%Best headshot accuracy · 2–13 · inferno, 5 Oct →
422msFastest reaction time · 13–11 · mirage, 7 Oct →
13–0Biggest win · ancient, 18 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 57% over 14infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2413–1154%0.02
mirageA148–657%0.02
anubisC135–838%0.00
ancientB136–746%0.04
infernoC114–736%0.00
cacheC104–640%0.01
nukeC94–544%-0.01
vertigoB63–350%0.07

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.

Lifetime stats

98,265Lifetime kills
1.15K/D · Top 50% of Level 8 players
4,925Matches
43.6%Match win rate
38.5%Headshot %
14.3%Shot accuracy · Top 50% of Level 8 players
10,400MVPs
1,905Hours (in match)
6,452Bombs planted
1,475Bombs defused

Most-used weapons

AK-4726,338
AWP13,844
SG 5533,159
AUG2,167
MP91,848

Lifetime map wins

23,615dust2
3,942inferno
1,414vertigo
1,224nuke
465train
155cbble
120lake
68safehouse

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

Faceit stats

Combat

530Matches
51%Win rate
1.11Avg K/D
78.0ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust212955%1.1415.8
Anubis10849%1.1416.1
Mirage9456%1.1414.3
Inferno9347%1.0415.4
Ancient4635%1.0114.0
Nuke1242%1.0616.1
Vertigo1040%0.8112.7
Train475%1.0813.0

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.

18.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
45.4%Spray accuracy
87.4%Counter-strafing
9.1°Preaim
604msReaction time
20.1%T opening success
32.0%CT opening success
0.71Enemies flashed / flash
4.5%Flash assists
11.06HE damage / grenade
9.13Flashes / 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

    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 20.1493% — 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 & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–160.0420%21 Oct →
cache13–30.0930%21 Oct →
dust213–30.0221%20 Oct →
dust210–13-0.0018%20 Oct →
mirage13–50.0017%18 Oct →
cache13–80.086%14 Oct →
anubis10–130.0717%12 Oct →
mirage13–100.1129%12 Oct →
anubis8–130.0110%12 Oct →
dust211–130.0319%11 Oct →
mirage8–130.0117%11 Oct →
nuke4–13-0.0115%8 Oct →
mirage13–11-0.0016%7 Oct →
cache2–13-0.0821%6 Oct →
nuke13–10-0.0024%6 Oct →
inferno2–13-0.1143%5 Oct →
inferno10–130.0226%4 Oct →
nuke13–80.0120%4 Oct →
dust25–13-0.0016%4 Oct →
inferno4–130.019%4 Oct →
mirage2–13-0.0323%3 Oct →
dust213–20.0418%3 Oct →
dust213–60.0314%2 Oct →
mirage13–90.1128%1 Oct →
nuke13–2-0.016%29 Sept →
cache13–70.0523%26 Sept →
mirage13–40.0524%26 Sept →
anubis15–15-0.047%26 Sept →
anubis7–13-0.0320%26 Sept →
dust29–13-0.0513%25 Sept →
mirage13–5-0.0019%23 Sept →
inferno13–90.0614%23 Sept →
dust213–70.1118%23 Sept →
nuke13–6-0.0324%22 Sept →
anubis7–13-0.0316%12 Sept →
cache11–130.0426%12 Sept →
ancient6–130.0613%12 Sept →
anubis13–90.0916%6 Sept →
vertigo12–120.0515%3 Sept →
dust213–100.0012%31 Aug →
inferno3–13-0.0432%29 Aug →
vertigo13–110.1010%29 Aug →
ancient13–9-0.0114%29 Aug →
vertigo8–130.0615%29 Aug →
mirage7–130.0417%28 Aug →
dust23–130.0115%25 Aug →
anubis13–30.019%25 Aug →
nuke3–13-0.0212%24 Aug →
nuke10–130.0422%19 Aug →
ancient7–130.089%18 Aug →
inferno13–50.0817%18 Aug →
cache6–13-0.0113%18 Aug →
cache2–130.0121%18 Aug →
dust213–80.0916%17 Aug →
anubis13–7-0.0311%16 Aug →
vertigo12–120.0810%15 Aug →
nuke5–13-0.0524%15 Aug →
dust213–9-0.0215%15 Aug →
ancient12–120.0520%14 Aug →
mirage14–160.0113%13 Aug →
ancient10–130.0413%13 Aug →
dust212–120.0825%21 Jul →
vertigo13–20.0818%21 Jul →
inferno9–130.0214%19 Jul →
anubis13–40.0314%18 Jul →
inferno11–130.0412%18 Jul →
ancient13–00.0317%18 Jul →
cache13–90.1022%17 Jul →
mirage13–40.0117%16 Jul →
ancient13–40.0511%16 Jul →
ancient11–130.0314%15 Jul →
dust213–30.0122%15 Jul →
dust213–40.0824%15 Jul →
ancient13–100.1014%15 Jul →
dust29–130.0020%15 Jul →
dust213–70.0617%15 Jul →
ancient13–160.0016%14 Jul →
ancient9–130.0319%14 Jul →
dust213–11-0.0431%13 Jul →
nuke6–13-0.0224%13 Jul →
mirage13–8-0.0111%12 Jul →
anubis3–130.0514%12 Jul →
vertigo13–100.0616%12 Jul →
ancient13–10.0315%12 Jul →
dust213–110.0416%12 Jul →
cache11–13-0.0714%12 Jul →
mirage11–13-0.046%12 Jul →
ancient13–40.067%12 Jul →
cache10–13-0.1013%11 Jul →
inferno10–13-0.0212%6 Jul →
dust24–13-0.0414%3 Jul →
dust213–90.0723%29 Jun →
anubis5–13-0.109%26 Jun →
dust26–130.0032%22 Jun →
dust215–15-0.0412%22 Jun →
inferno13–10-0.019%17 Jun →
anubis14–16-0.0214%15 Jun →
anubis13–100.0131%13 Jun →
dust29–130.0320%8 Jun →
inferno13–9-0.0011%8 Jun →

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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