Slappy ®

Slappy ® — CS2 Stats

AT76561198205019872[U:1:244754144]Steam profile ↗✓ No bans

2,002Tracked matches59%Win rate2020Tracked since
3,485Hours in CS20Hrs last 2 wks
CSDB Rating6.9 SolidPositional Player
FaceitLevel 9 · 1,741 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (52 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,741 → 1,741
+161Tracked matches · now 2,002
+12.2ppWin rate · 46.4% → 58.6%

Rating over time

Faceit ELO: 1,741 +0 30 Aug – 13 Sept · 4 observations
1,7411,741peak 1,74130 Aug13 Sept
1,741Highest Faceit ELO seen on CSDB
28Days played since 2026-08-30

Faceit ELO

  • At peak — 1,741
  • Next: Level 9 at 1,751 — 10 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate43.2%48.2%50.9%7.8% short
Shot accuracy11.7%13.2%13.7%2.0% short
Kill/death ratio1.051.071.090.03 short
Match win rate45.5%46.9%48.4%2.9% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSlappy ®FACEITLevel 9 · 1,741 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,741csdb.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

Aim81
Positioning74
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateWWWTLLLWWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +2.9pp headshot accuracy · +44ms 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 0.07
  • Avg headshot accuracy 23%
  • Avg reaction 539ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 572ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • 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: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim8.1
Utility5.3
Positioning7.4
Opening Duels5.2
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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 571ms 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

Aim8.1
Positioning7.4
Utility5.3
Mechanics7.5
Opening Duels6.1
Win Impact7.9

Composite 6.9/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time575ms+11ms
first ⅓ avg 564ms → last ⅓ avg 575ms
Headshot accuracy21.7%−4.4%
first ⅓ avg 26.1% → last ⅓ avg 21.7%

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

0.29Best match rating · 5–1 · rush_001, 2 Nov →
100%Best headshot accuracy · 9–3 · debris, 22 Sept →
336msFastest reaction time · 2–6 · rush_001, 30 Sept →
13–1Biggest win · boulder, 22 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
15–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

boulderBest map · 100% over 5ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
rush_001A2715–1256%0.05
ancientD134–931%-0.01
officeB105–550%-0.01
anubisS75–271%-0.01
cacheC73–443%-0.00
infernoS65–183%-0.00
debrisS65–183%0.12
boulderS55–0100%0.03
dust2—32–167%0.01
fachwerk—33–0100%0.06
mirage—31–233%-0.01
poseidon—31–233%-0.00
nuke—22–0100%0.00
shelter—21–150%0.02
vertigo—21–150%-0.04
eldorado—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,323Lifetime kills
1.05K/D
4,730Matches
45.5%Match win rate
43.2%Headshot %
11.7%Shot accuracy
11,422MVPs
2,025Hours (in match)
3,673Bombs planted
930Bombs defused

Most-used weapons

AK-4736,392
AWP6,176
FAMAS2,245
MP92,161
MAC-101,841

Lifetime map wins

10,019dust2
8,172inferno
2,640nuke
1,415vertigo
1,257train
857cbble
580office
67lake

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

Faceit stats

Combat

172Matches
53%Win rate
1.04Avg K/D
77.8ADR
48%Headshot %

Clutches & streaks

39%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient4257%1.0917.3
Inferno3060%1.0516.4
Dust22854%0.9915.0
Mirage2348%1.0714.8
Nuke1323%0.8613.3
Cache1233%1.2419.8
Anubis1182%1.0615.1
Overpass5100%1.0215.4

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.

20.7%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.6%Spray accuracy
83.8%Counter-strafing
9.5°Preaim
571msReaction time
58.3%T opening success
50.1%CT opening success
0.40Enemies flashed / flash
6.1%Flash assists
8.87HE damage / grenade
11.08Flashes / 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 0.4037 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–60.0928%3 Nov →
office6–1-0.0320%3 Nov →
rush_0015–10.2932%2 Nov →
office12–12-0.0215%2 Nov →
office11–130.0020%2 Nov →
anubis11–13-0.0216%26 Oct →
rush_0017–80.0519%25 Oct →
rush_0014–00.1327%25 Oct →
nuke13–11-0.0225%25 Oct →
ancient10–13-0.0314%25 Oct →
inferno16–14-0.0114%25 Oct →
rush_0016–8-0.0310%25 Oct →
rush_0012–60.0822%25 Oct →
dust210–13-0.0227%25 Oct →
fachwerk13–110.0318%24 Oct →
boulder13–110.0918%24 Oct →
nuke13–40.0216%22 Oct →
ancient17–19-0.0113%22 Oct →
inferno13–100.0324%22 Oct →
cache13–110.0124%22 Oct →
cache6–13-0.0421%22 Oct →
cache3–0-0.0433%22 Oct →
rush_0017–80.0725%22 Oct →
boulder13–10.0117%22 Oct →
office7–13-0.0240%22 Oct →
office7–13-0.0142%22 Oct →
dust213–50.0424%20 Oct →
ancient6–13-0.0217%20 Oct →
ancient14–16-0.0211%20 Oct →
cache13–100.0433%20 Oct →
shelter5–130.0417%20 Oct →
boulder13–20.0613%19 Oct →
debris9–10.1719%19 Oct →
rush_0014–0-0.1114%19 Oct →
office13–3-0.0521%19 Oct →
rush_0017–8-0.0325%17 Oct →
rush_0018–40.0731%17 Oct →
rush_0015–80.0311%16 Oct →
shelter13–6-0.0119%16 Oct →
inferno11–13-0.0512%16 Oct →
rush_0016–20.2826%14 Oct →
office13–10-0.0427%14 Oct →
anubis13–11-0.0314%7 Oct →
boulder13–60.0014%7 Oct →
inferno13–30.0114%7 Oct →
fachwerk13–40.1426%7 Oct →
rush_0018–60.0820%7 Oct →
rush_0014–8-0.0836%7 Oct →
rush_0018–50.0819%7 Oct →
rush_0018–50.1020%7 Oct →
debris4–9-0.126%7 Oct →
rush_0010–4-0.270%3 Oct →
rush_0018–50.105%3 Oct →
rush_0013–7-0.1226%3 Oct →
rush_0015–10.2038%3 Oct →
rush_0014–00.1133%3 Oct →
ancient7–13-0.0524%3 Oct →
anubis10–130.0216%3 Oct →
anubis13–6-0.048%3 Oct →
ancient4–13-0.0618%3 Oct →
ancient16–14-0.0210%3 Oct →
rush_0018–60.0517%3 Oct →
inferno16–140.0423%2 Oct →
cache14–160.0120%2 Oct →
ancient13–9-0.0116%2 Oct →
ancient13–100.0021%2 Oct →
rush_0015–8-0.0057%1 Oct →
rush_0015–10.1925%30 Sept →
rush_0018–70.0623%30 Sept →
anubis13–90.0517%30 Sept →
anubis13–11-0.0513%30 Sept →
cache6–130.0720%30 Sept →
ancient10–13-0.0819%30 Sept →
office13–10-0.0520%30 Sept →
rush_0012–60.0438%30 Sept →
rush_0012–6-0.0917%30 Sept →
anubis13–80.0213%29 Sept →
vertigo13–8-0.0317%29 Sept →
cache1–13-0.0740%28 Sept →
rush_0018–5-0.0125%27 Sept →
ancient13–110.0018%27 Sept →
boulder13–6-0.0117%26 Sept →
dust213–110.0310%26 Sept →
ancient5–130.0521%26 Sept →
debris9–20.2410%25 Sept →
mirage12–16-0.0318%25 Sept →
poseidon0–9-0.1750%25 Sept →
ancient13–160.0523%24 Sept →
debris9–70.0521%24 Sept →
vertigo5–13-0.0520%23 Sept →
inferno13–6-0.0224%23 Sept →
debris9–30.14100%22 Sept →
office3–13-0.0023%20 Sept →
debris9–10.2324%20 Sept →
fachwerk13–90.0018%19 Sept →
mirage16–120.0114%19 Sept →
eldorado5–9-0.0126%19 Sept →
poseidon9–20.1417%18 Sept →
poseidon1–30.03100%18 Sept →
mirage5–13-0.0219%17 Sept →

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.