Slammer

Slammer — CS2 Stats

GB76561198067405598[U:1:107139870]Steam profile ↗✓ No bans

1,679Tracked matches64%Win rate2020Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating12,516Blue band · top ~41.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,679 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,516 +178 2 Mar – 26 Sept · 21 days played
4,52012,932peak 12,9322 Mar26 Sept
12,932Peak Premier in tracked matches
33Days played since 2026-03-02

Premier CS Rating

  • 416 below peak (12,932)
  • 0 over 30 days · steady
  • +7,392 over 90 days
  • Next: Purple band at 15,000 — 2,484 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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

Share this profile

CSDB.GGSlammerFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,516 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning30
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY38–56–6Last 10038%Win rateWLWLTWWWLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −0.1pp headshot accuracy · −70ms reaction

Win rate 0pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 15%
  • Avg reaction 586ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 609ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 644ms

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 against its own average).

Aim3.7
Utility6.0
Positioning3.0
Opening Duels0.0
Clutch3.2

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

Twistzz

Plays most like Twistzz 71% 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

Reaction time. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.7
Positioning3.0
Utility6.0
Mechanics4.1
Opening Duels0.0
Win Impact9.8

Composite 4.0/10 (Developing), 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 rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time642ms−8ms
first ⅓ avg 650ms → last ⅓ avg 642ms
Headshot accuracy12.7%−1.1%
first ⅓ avg 13.8% → last ⅓ avg 12.7%

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

0.10Best match rating · 7–1 · overpass, 27 Jun →
48%Best headshot accuracy · 4–13 · cache, 18 Jul →
422msFastest reaction time · 16–14 · anubis, 23 Aug →
13–1Biggest win · anubis, 22 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 83% over 6infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC208–1240%-0.04
ancientC188–1044%-0.04
anubisD175–1229%-0.04
cacheC146–843%-0.03
nukeD134–931%-0.05
infernoD71–614%-0.06
overpassS65–183%-0.02
dust2—11–0100%-0.01
train—10–10%0.01
warden—10–10%-0.04
vertigo—10–10%-0.06
office—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

584Matches
51%Win rate
0.82Avg K/D
67.2ADR
33%Headshot %

Clutches & streaks

36%1v1 clutch win
8%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3741%0.9913.1
Inferno2458%0.8912.7
Ancient1872%0.8011.7
Dust21527%0.7713.6
Overpass1164%0.9312.7
Vertigo850%0.8013.6
Anubis838%0.569.6
Nuke580%0.9313.0

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.

12.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
37.9%Spray accuracy
68.5%Counter-strafing
11.7°Preaim
642msReaction time
23.0%T opening success
26.8%CT opening success
0.62Enemies flashed / flash
7.0%Flash assists
8.97HE damage / grenade
7.66Flashes / 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 12.581% — 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 22.985% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.082%26 Aug →
anubis9–13-0.1219%26 Aug →
cache16–13-0.0418%26 Aug →
nuke5–13-0.0823%26 Aug →
nuke15–15-0.0814%23 Aug →
anubis16–14-0.0511%23 Aug →
nuke13–8-0.103%23 Aug →
mirage13–8-0.059%16 Aug →
anubis9–13-0.069%16 Aug →
ancient13–7-0.045%16 Aug →
ancient13–7-0.0514%14 Aug →
cache2–13-0.066%14 Aug →
nuke13–80.0118%14 Aug →
mirage13–80.039%14 Aug →
ancient9–13-0.0414%14 Aug →
cache15–15-0.0610%6 Aug →
inferno13–9-0.0510%6 Aug →
mirage13–20.029%6 Aug →
anubis13–9-0.0412%31 Jul →
inferno11–13-0.0615%31 Jul →
ancient13–8-0.0111%31 Jul →
cache13–90.0318%25 Jul →
ancient13–3-0.0113%25 Jul →
cache13–40.0021%25 Jul →
mirage9–13-0.0711%25 Jul →
ancient13–7-0.0511%25 Jul →
inferno11–13-0.0415%23 Jul →
cache13–100.0322%23 Jul →
nuke3–13-0.0210%19 Jul →
mirage5–13-0.1112%19 Jul →
anubis8–13-0.0718%18 Jul →
cache16–14-0.0213%18 Jul →
mirage13–9-0.0315%18 Jul →
cache13–6-0.0521%18 Jul →
anubis11–13-0.068%18 Jul →
dust213–4-0.0115%18 Jul →
cache4–13-0.0248%18 Jul →
cache4–13-0.0320%16 Jul →
ancient16–12-0.0311%16 Jul →
mirage12–12-0.0213%7 Jul →
train6–130.0121%7 Jul →
warden12–12-0.0412%7 Jul →
inferno7–13-0.089%3 Jul →
mirage9–13-0.0216%3 Jul →
mirage14–16-0.059%2 Jul →
ancient11–13-0.0412%2 Jul →
overpass13–9-0.039%2 Jul →
cache9–13-0.027%28 Jun →
cache9–13-0.0416%28 Jun →
mirage16–14-0.0214%28 Jun →
overpass7–10.109%27 Jun →
ancient9–13-0.0420%27 Jun →
anubis13–4-0.043%27 Jun →
anubis11–13-0.0413%18 Jun →
inferno5–13-0.0314%18 Jun →
ancient6–13-0.1115%18 Jun →
anubis9–13-0.0113%18 Jun →
anubis8–13-0.0611%14 Jun →
ancient13–30.0421%14 Jun →
nuke13–9-0.0313%11 Jun →
anubis11–13-0.0316%11 Jun →
overpass13–7-0.0116%11 Jun →
mirage11–13-0.0615%11 Jun →
inferno7–13-0.043%10 Jun →
vertigo10–13-0.0624%7 Jun →
mirage9–13-0.0114%6 Jun →
ancient10–130.0110%6 Jun →
cache5–13-0.0218%6 Jun →
nuke8–13-0.057%4 Jun →
mirage8–13-0.0613%4 Jun →
anubis14–16-0.0510%4 Jun →
nuke10–13-0.0616%29 May →
mirage5–13-0.0513%29 May →
ancient7–13-0.0616%29 May →
cache5–13-0.054%29 May →
mirage3–13-0.0920%29 May →
anubis13–1-0.0210%22 Mar →
ancient3–13-0.0936%22 Mar →
overpass13–11-0.0530%22 Mar →
anubis11–13-0.0311%22 Mar →
nuke7–13-0.046%22 Mar →
mirage13–6-0.0319%20 Mar →
overpass13–7-0.0413%20 Mar →
anubis13–20.025%20 Mar →
ancient7–13-0.0712%20 Mar →
ancient6–13-0.0320%19 Mar →
nuke11–13-0.0713%19 Mar →
office12–12-0.0824%13 Mar →
mirage13–11-0.0212%13 Mar →
overpass12–12-0.105%13 Mar →
mirage3–13-0.0220%12 Mar →
anubis6–13-0.0619%12 Mar →
nuke10–13-0.0216%8 Mar →
ancient13–3-0.038%8 Mar →
nuke11–13-0.0315%5 Mar →
mirage4–13-0.0910%5 Mar →
inferno7–13-0.1110%3 Mar →
mirage13–11-0.099%3 Mar →
ancient8–13-0.076%2 Mar →
anubis10–13-0.0211%2 Mar →

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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