SIT DOWN-

SIT DOWN- — CS2 Stats

DE76561198112265132[U:1:151999404]Steam profile ↗✓ No bans

4,551Tracked matches60%Win rate2020Tracked since
9,279Hours in CS
CSDB Rating6.6 SolidSupport
Premier CS Rating27,564Top 5% of 212,133 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#4021 of 258973 tracked
FaceitLevel 10 · 2,292 ELOTop 12.4% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (14 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: 27,564 +2,951 30 Aug – 17 Oct · 3 days played
24,61327,564peak 27,56430 Aug17 Oct
Faceit ELO: 2,292 +0 30 Aug – 9 Sept · 2 observations
2,2922,292peak 2,29230 Aug9 Sept
27,564Peak Premier in tracked matches
2,292Highest Faceit ELO seen on CSDB
13Days played since 2026-08-30

Faceit ELO

  • At peak — 2,292
  • Next: 2,500 ELO at 2,500 — 208 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier CS Rating

  • At peak — 27,564
  • Next: Gold band at 30,000 — 2,436 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-09
  • Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate49.0%50.9%
Shot accuracy13.7%13.7%
Kill/death ratio0.981.09
Match win rate47.2%48.4%

Share this profile

CSDB.GGSIT DOWN-FACEITLevel 10 · 2,292 ELOSTANDINGTop 12.4% of rankedPREMIER27,564 · Red bandPEAK ELO2,292csdb.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

Aim66
Positioning67
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateWWLLWWWLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +2.0pp headshot accuracy · +46ms reaction

Win rate down 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 16%
  • Avg reaction 562ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 541ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 518ms

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 (+1.8 against its own average).

Aim6.6
Utility6.8
Positioning6.7
Opening Duels3.6
Clutch2.8

Strong CT-side opener

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Aim6.6
Positioning6.7
Utility6.8
Mechanics3.7
Opening Duels5.9
Win Impact8.3

Composite 6.6/10 (Solid), 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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time518ms−16ms
first ⅓ avg 535ms → last ⅓ avg 518ms
Headshot accuracy15.2%+1.7%
first ⅓ avg 13.5% → last ⅓ avg 15.2%

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

0.16Best match rating · 9–1 · inferno, 17 Oct →
26%Best headshot accuracy · 13–8 · ancient, 25 Oct →
344msFastest reaction time · 13–10 · inferno, 26 Oct →
13–0Biggest win · dust2, 28 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–11In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 57% over 28ancientWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2816–1257%0.02
cacheB2613–1350%0.00
dust2A2011–955%-0.01
ancientC176–1135%-0.00
anubisC83–538%-0.01
nuke—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

395,604Lifetime kills
0.98K/D
15,170Matches
47.2%Match win rate
49.0%Headshot %
13.7%Shot accuracy · Top 50% of Level 10 players
41,929MVPs
9,279Hours (in match)
12,431Bombs planted
3,827Bombs defused

Most-used weapons

AK-47151,243
AWP23,985
FAMAS12,146
Glock-1812,073
UMP-458,400
P2507,845

Lifetime map wins

57,496inferno
19,100dust2
15,407cbble
9,735vertigo
2,608train
2,566nuke
20dust
20shorttrain

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

Faceit stats

Combat

7,167Matches
51%Win rate
1.07Avg K/D
88.0ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno22458%1.1818.2
Ancient21141%0.9915.7
Dust216654%0.9815.7
Cache9559%1.0917.2
Anubis8542%0.9715.9
Overpass3759%1.1917.0
Nuke1947%0.9415.0
Mirage1315%0.8915.5

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.

15.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
40.6%Spray accuracy
66.9%Counter-strafing
10.3°Preaim
514msReaction time
53.2%T opening success
53.7%CT opening success
0.64Enemies flashed / flash
7.1%Flash assists
9.66HE damage / grenade
14.04Flashes / match

Recommended for you

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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–40.0118%29 Oct →
anubis13–3-0.0219%29 Oct →
ancient8–13-0.0916%29 Oct →
ancient9–13-0.077%29 Oct →
cache13–70.0419%29 Oct →
cache13–7-0.0122%29 Oct →
ancient13–2-0.0014%29 Oct →
cache6–13-0.0414%29 Oct →
cache0–13-0.0816%28 Oct →
ancient16–140.0219%28 Oct →
dust213–0-0.037%28 Oct →
inferno13–4-0.0023%28 Oct →
cache9–13-0.0411%27 Oct →
cache11–130.0316%27 Oct →
inferno13–90.0412%27 Oct →
inferno13–80.0619%27 Oct →
ancient13–30.0210%27 Oct →
inferno13–10-0.0113%26 Oct →
cache13–90.0116%26 Oct →
inferno13–80.0616%26 Oct →
cache19–170.0212%26 Oct →
ancient11–130.0117%25 Oct →
cache13–110.0421%25 Oct →
cache8–130.0014%25 Oct →
inferno9–13-0.068%25 Oct →
dust27–130.0015%25 Oct →
dust27–13-0.0613%25 Oct →
anubis7–130.0713%25 Oct →
ancient13–80.0226%25 Oct →
inferno13–40.0714%25 Oct →
inferno5–130.0919%25 Oct →
cache16–130.0515%25 Oct →
dust213–5-0.0010%25 Oct →
dust213–8-0.069%25 Oct →
ancient13–60.0415%24 Oct →
anubis7–13-0.0210%24 Oct →
ancient13–110.0714%24 Oct →
cache9–130.1016%24 Oct →
ancient11–130.0110%24 Oct →
inferno11–13-0.0013%24 Oct →
dust219–15-0.0217%24 Oct →
cache6–13-0.0312%24 Oct →
inferno13–100.0621%23 Oct →
inferno13–50.0211%23 Oct →
inferno13–50.0415%23 Oct →
ancient11–130.0510%23 Oct →
ancient10–130.0223%22 Oct →
cache13–9-0.0016%22 Oct →
inferno13–80.038%22 Oct →
inferno6–130.0520%22 Oct →
dust211–13-0.0213%22 Oct →
inferno14–160.0221%22 Oct →
cache10–130.0215%22 Oct →
cache13–7-0.0112%21 Oct →
dust213–30.0224%21 Oct →
inferno8–130.0219%21 Oct →
cache13–80.0719%21 Oct →
dust25–130.048%21 Oct →
ancient6–13-0.0818%21 Oct →
cache13–8-0.0120%21 Oct →
dust213–40.0616%21 Oct →
dust213–10.0819%21 Oct →
cache13–110.019%18 Oct →
dust211–13-0.0323%18 Oct →
dust216–12-0.0415%18 Oct →
dust213–11-0.0224%18 Oct →
inferno19–150.0611%18 Oct →
dust29–13-0.0114%18 Oct →
nuke13–50.0418%18 Oct →
inferno9–13-0.088%18 Oct →
dust25–13-0.0720%18 Oct →
anubis14–16-0.0115%18 Oct →
cache1–13-0.0715%18 Oct →
dust213–20.0011%17 Oct →
inferno16–19-0.0112%17 Oct →
cache10–130.0220%17 Oct →
inferno13–11-0.0113%17 Oct →
inferno13–11-0.0310%17 Oct →
anubis1–13-0.0714%17 Oct →
inferno7–130.0510%17 Oct →
inferno13–60.0222%17 Oct →
ancient10–13-0.0210%17 Oct →
cache13–8-0.0616%17 Oct →
inferno9–10.1621%17 Oct →
dust216–130.0123%17 Oct →
ancient7–13-0.045%17 Oct →
anubis6–13-0.073%17 Oct →
ancient13–16-0.0415%16 Oct →
dust210–13-0.0514%16 Oct →
inferno3–13-0.0323%16 Oct →
dust210–130.0014%16 Oct →
anubis13–20.0310%16 Oct →
cache14–160.006%16 Oct →
anubis13–6-0.006%16 Oct →
inferno14–16-0.0312%16 Oct →
ancient13–160.0020%15 Oct →
inferno9–13-0.0012%15 Oct →
cache10–13-0.0215%15 Oct →
inferno13–70.0317%15 Oct →
cache8–13-0.044%15 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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