pit

pit — CS2 Stats

GR76561198076430753[U:1:116165025]Steam profile ↗VAC banned

3,120Tracked matches43%Win rate2020Tracked since
3,521Hours in CS
CSDB Rating5.0 DevelopingAll-Rounder
Premier CS Rating26,254Top 10% of 212,379 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11618 of 259209 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,120 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,254 +771 20 Aug – 21 Oct · 7 days played
25,48326,254peak 26,25420 Aug21 Oct
26,460Peak Premier in tracked matches
28Days played since 2026-07-26

Premier CS Rating

  • At peak — 26,254
  • 0 over 30 days · steady
  • Next: Gold band at 30,000 — 3,746 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-09
  • Pink band first seen 2026-09-09

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate45.5%49.3%50.9%5.5% short
Shot accuracy13.3%13.4%11.8%above
Kill/death ratio0.891.121.180.29 short
Match win rate61.1%48.5%51.9%above

This profile matches the typical Gold band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Gold band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpitPREMIER26,254 · Red 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

Aim54
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

COLD52–41–7Last 10052%Win rateLTLWWLWLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +1.9pp headshot accuracy · −67ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 620ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 661ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.4
Utility4.8
Positioning5.2
Opening Duels4.5
Clutch3.4

Limited 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

device

Plays most like device 81% 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. 668ms 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

Aim5.4
Positioning5.2
Utility4.8
Mechanics5.6
Opening Duels2.9
Win Impact2.6

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time680ms+1ms
first ⅓ avg 679ms → last ⅓ avg 680ms
Headshot accuracy17.5%−2.4%
first ⅓ avg 19.9% → last ⅓ avg 17.5%

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

0.17Best match rating · 13–3 · cache, 9 Aug →
50%Best headshot accuracy · 6–3 · cache, 28 Jul →
469msFastest reaction time · 7–13 · cache, 27 Aug →
13–1Biggest win · cache, 10 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 57% over 70dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
cacheA7040–3057%0.02
dust2C114–736%-0.04
mirageB105–550%-0.00
anubisC52–340%0.01
nuke—31–233%-0.01
ancient—10–10%-0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,503Lifetime kills
0.89K/D
11,992Matches
61.1%Match win rate · Top 10% of Red band
45.5%Headshot %
13.3%Shot accuracy
16,444MVPs
3,521Hours (in match)
5,655Bombs planted
2,134Bombs defused

Most-used weapons

AK-4766,403
AWP19,975
P2505,179
Knife2,617
MP92,405
Tec-92,317

Lifetime map wins

11,724dust2
2,150inferno
1,904train
1,139vertigo
950nuke
494cbble
121office
118italy

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

Faceit stats

Combat

1,319Matches
51%Win rate
1.00Avg K/D
75.1ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage29849%1.0115.6
Anubis24750%0.9515.2
Ancient22952%1.0516.2
Dust217752%1.0415.7
Vertigo5956%1.0616.6
Overpass2361%1.1117.2
Nuke1173%1.0616.2
Cache875%1.2019.6

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.

17.4%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.7%Spray accuracy
75.2%Counter-strafing
10.6°Preaim
668msReaction time
40.8%T opening success
42.7%CT opening success
0.47Enemies flashed / flash
10.2%Flash assists
8.05HE damage / grenade
4.56Flashes / 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 0.4664 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0422%29 Aug →
cache12–120.1021%29 Aug →
cache8–130.0526%28 Aug →
cache13–60.0311%28 Aug →
cache13–11-0.0217%28 Aug →
cache7–130.0420%27 Aug →
cache13–80.0322%27 Aug →
cache7–13-0.0315%27 Aug →
cache4–13-0.0117%27 Aug →
cache3–130.0616%26 Aug →
cache13–100.1120%26 Aug →
cache3–130.0311%26 Aug →
cache12–120.0423%26 Aug →
mirage5–13-0.0215%26 Aug →
cache10–13-0.0218%25 Aug →
cache13–60.044%25 Aug →
anubis11–13-0.0214%25 Aug →
dust27–13-0.0416%25 Aug →
cache13–11-0.0232%25 Aug →
cache13–9-0.0114%25 Aug →
ancient8–13-0.1011%25 Aug →
cache13–110.0517%25 Aug →
cache4–13-0.0219%25 Aug →
cache6–13-0.135%24 Aug →
cache13–70.027%24 Aug →
mirage13–70.0025%23 Aug →
dust213–11-0.0915%23 Aug →
dust23–13-0.0224%23 Aug →
cache2–13-0.0521%23 Aug →
cache13–30.1419%23 Aug →
nuke4–13-0.0525%20 Aug →
dust27–3-0.066%20 Aug →
cache13–30.0229%20 Aug →
cache4–13-0.0220%20 Aug →
dust27–13-0.0315%20 Aug →
anubis13–110.0214%19 Aug →
cache12–12-0.048%19 Aug →
mirage13–90.0724%18 Aug →
dust24–13-0.0318%18 Aug →
nuke13–50.0329%18 Aug →
cache7–130.0018%18 Aug →
cache13–100.0519%17 Aug →
cache13–4-0.0116%17 Aug →
cache13–90.0927%17 Aug →
cache9–130.0321%17 Aug →
cache13–10-0.0013%12 Aug →
cache5–13-0.0219%12 Aug →
cache13–5-0.0210%12 Aug →
cache13–50.0429%11 Aug →
cache13–5-0.0113%11 Aug →
dust213–8-0.0913%11 Aug →
mirage8–130.0318%11 Aug →
cache12–12-0.0528%10 Aug →
cache13–10-0.017%10 Aug →
cache13–11-0.0521%10 Aug →
cache13–10.0438%10 Aug →
cache10–130.0513%9 Aug →
cache13–30.0111%9 Aug →
cache13–30.1731%9 Aug →
cache13–40.0210%8 Aug →
cache11–130.0015%8 Aug →
cache12–120.0314%8 Aug →
mirage3–13-0.0713%6 Aug →
cache13–50.0212%6 Aug →
mirage13–100.0111%6 Aug →
cache13–30.0620%5 Aug →
cache13–60.0220%4 Aug →
cache12–120.0322%4 Aug →
cache13–60.0328%3 Aug →
cache13–40.0123%3 Aug →
dust25–13-0.0411%3 Aug →
dust212–160.0019%3 Aug →
cache13–3-0.0110%2 Aug →
cache13–30.0726%2 Aug →
cache13–50.0821%2 Aug →
cache6–130.0426%2 Aug →
anubis6–130.0518%2 Aug →
mirage13–6-0.0221%2 Aug →
cache10–13-0.0419%1 Aug →
cache13–60.0021%1 Aug →
cache12–12-0.0412%1 Aug →
cache5–130.0235%31 Jul →
cache13–5-0.0317%31 Jul →
cache13–8-0.038%31 Jul →
mirage10–13-0.0117%31 Jul →
cache11–13-0.0227%30 Jul →
cache13–80.0215%30 Jul →
cache8–13-0.0121%30 Jul →
dust26–13-0.0013%30 Jul →
mirage13–7-0.0513%30 Jul →
mirage11–130.0130%30 Jul →
anubis6–13-0.0619%29 Jul →
cache7–13-0.0316%28 Jul →
cache6–30.0150%28 Jul →
cache13–80.028%28 Jul →
dust213–40.0117%27 Jul →
anubis13–110.0422%27 Jul →
cache13–110.0219%26 Jul →
cache13–110.0612%26 Jul →
nuke10–13-0.0122%26 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.