slamp

slamp — CS2 Stats

NO76561198161620598[U:1:201354870]Steam profile ↗✓ No bans

1,223Tracked matches63%Win rate2020Tracked since
CSDB Rating6.1 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+33Tracked matches · now 1,223
+3.3ppWin rate · 60.0% → 63.3%

Rating over time

Premier CS Rating: 21,551 +1,813 22 Jul – 10 Apr · 4 days played
19,73821,657peak 21,65722 Jul10 Apr
21,657Peak Premier in tracked matches
57Days played since 2024-07-14

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

Share this profile

CSDB.GGslampFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

HOT54–46Last 10054%Win rateWWWWWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.2pp headshot accuracy · −55ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 497ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 524ms

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).

Aim6.5
Utility5.8
Positioning6.4
Opening Duels4.6
Clutch2.4

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Counter-strafing. Only 67% 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
Positioning6.4
Utility5.8
Mechanics3.7
Opening Duels4.8
Win Impact9.4

Composite 6.1/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time529ms−49ms
first ⅓ avg 578ms → last ⅓ avg 529ms
Headshot accuracy20.5%+0.1%
first ⅓ avg 20.4% → last ⅓ avg 20.5%

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

0.12Best match rating · 13–1 · nuke, 23 Aug →
54%Best headshot accuracy · 8–3 · ancient, 10 Apr →
344msFastest reaction time · 13–3 · ancient, 8 Aug →
13–1Biggest win · nuke, 23 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
11–12In matches decided by ≤2 rounds
12Overtime games

Map breakdown

cacheBest map · 86% over 7mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A2415–963%0.01
ancientS2013–765%-0.02
infernoB189–950%-0.00
anubisC114–736%-0.00
cacheS76–186%-0.01
mirageD72–529%-0.02
nukeA74–357%0.01
overpass—30–30%-0.01
vertigo—31–233%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

598Matches
53%Win rate
0.93Avg K/D
67.2ADR
40%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno7450%0.9514.4
Ancient6356%0.9314.3
Anubis6161%0.9914.0
Dust25758%1.0114.0
Mirage2938%0.8013.0
Nuke2536%0.8614.2
Cache2055%0.8012.4
Vertigo1724%0.7211.2

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.

21.2%Headshot accuracy
31.0%Accuracy (enemy spotted)
35.4%Spray accuracy
66.8%Counter-strafing
9.3°Preaim
522msReaction time
49.4%T opening success
49.0%CT opening success
0.60Enemies flashed / flash
6.7%Flash assists
9.29HE damage / grenade
8.15Flashes / match

Recommended for you

Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0220%20 Oct →
ancient13–110.0522%20 Oct →
dust213–7-0.0424%19 Oct →
inferno13–60.1121%13 Oct →
cache13–7-0.0222%13 Oct →
ancient13–10-0.0615%12 Oct →
anubis10–13-0.0330%11 Oct →
cache13–16-0.0218%3 Oct →
inferno13–40.0641%3 Oct →
mirage13–80.0233%3 Oct →
overpass5–13-0.0423%3 Oct →
inferno16–13-0.0430%1 Oct →
cache13–90.0121%20 Sept →
nuke13–60.0418%16 Sept →
ancient13–11-0.0414%16 Sept →
inferno13–16-0.0532%13 Sept →
nuke9–13-0.0935%30 Aug →
ancient13–50.0316%30 Aug →
inferno13–6-0.0319%30 Aug →
vertigo13–90.0119%30 Aug →
ancient13–30.0110%8 Aug →
ancient13–90.019%8 Aug →
dust23–13-0.0819%1 Aug →
dust210–130.0629%29 Jul →
vertigo11–13-0.0420%14 Jul →
dust213–11-0.0617%10 Jul →
inferno7–130.0213%7 Jul →
overpass7–130.0213%20 Jun →
inferno9–13-0.0210%13 Jun →
dust213–100.0020%13 Jun →
cache13–11-0.0317%13 Jun →
ancient11–13-0.058%13 Jun →
dust213–100.0120%13 Jun →
dust213–90.0324%12 Jun →
ancient10–13-0.0115%12 Jun →
inferno13–90.0616%12 Jun →
nuke13–110.0228%12 Jun →
dust214–16-0.0926%12 Jun →
dust213–50.0113%5 Jun →
anubis10–13-0.0116%5 Jun →
cache13–6-0.0411%2 Jun →
cache13–20.0547%2 Jun →
mirage13–16-0.0510%19 May →
ancient10–13-0.0218%26 Apr →
dust214–16-0.0124%21 Apr →
ancient8–30.0254%10 Apr →
anubis13–30.0327%10 Apr →
dust213–50.0228%10 Apr →
ancient11–13-0.0819%10 Apr →
dust211–130.0313%2 Apr →
overpass10–13-0.0014%2 Apr →
ancient13–16-0.065%2 Apr →
dust213–20.0423%30 Mar →
inferno13–100.0415%30 Mar →
dust213–70.0514%30 Mar →
nuke4–13-0.0321%22 Mar →
mirage11–13-0.0017%21 Mar →
inferno13–110.0317%21 Mar →
mirage13–11-0.0115%20 Mar →
inferno7–13-0.0131%20 Mar →
dust25–130.0028%20 Mar →
ancient16–120.0016%22 Feb →
dust213–70.0224%22 Feb →
anubis7–130.0211%18 Feb →
dust213–110.0329%18 Feb →
inferno13–11-0.0525%3 Jan →
anubis5–13-0.0611%3 Jan →
mirage4–13-0.0422%15 May →
dust211–130.0120%7 May →
dust27–130.0022%23 Apr →
dust213–30.1020%22 Mar →
inferno10–13-0.0825%23 Feb →
anubis13–80.0916%18 Feb →
ancient16–13-0.0513%7 Feb →
mirage8–13-0.0719%29 Nov →
dust210–130.0417%7 Nov →
mirage5–13-0.0115%1 Nov →
dust213–60.0226%1 Nov →
dust213–10-0.0232%18 Oct →
nuke11–13-0.0131%14 Sept →
inferno4–13-0.0611%12 Sept →
ancient13–90.0024%12 Sept →
anubis11–13-0.0517%1 Sept →
ancient7–13-0.0119%1 Sept →
anubis13–9-0.0519%1 Sept →
nuke13–10.1233%23 Aug →
anubis10–13-0.0122%13 Aug →
ancient2–13-0.1013%13 Aug →
inferno3–130.0018%11 Aug →
anubis12–16-0.0329%11 Aug →
ancient16–14-0.0026%4 Aug →
anubis13–60.0633%4 Aug →
ancient13–9-0.0218%4 Aug →
inferno10–13-0.0614%4 Aug →
ancient13–40.0516%25 Jul →
dust213–60.0219%25 Jul →
inferno13–60.0415%24 Jul →
nuke13–110.0022%22 Jul →
inferno14–16-0.0021%21 Jul →
vertigo11–13-0.047%14 Jul →

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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