S+

S+ — CS2 Stats

GB76561198080271546[U:1:120005818]Steam profile ↗✓ No bans

2,496Tracked matches53%Win rate2020Tracked since
6,987Hours in CS27Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating12,563Blue band · top ~41.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (2 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: 12,563 -3,233 19 Apr – 31 Oct · 28 days played
11,02415,972peak 15,97219 Apr31 Oct
15,972Peak Premier in tracked matches
1,349Highest Faceit ELO seen on CSDB
44Days played since 2026-04-19

Faceit ELO

  • At peak — 1,349
  • Next: Level 7 at 1,351 — 2 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 3,409 below peak (15,972)
  • -1,637 over 30 days · declining
  • Next: Purple band at 15,000 — 2,437 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.7%42.0%44.4%1.6% short
Shot accuracy15.3%9.6%11.9%above
Kill/death ratio0.920.981.030.11 short
Match win rate46.6%43.8%45.2%above

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

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

Share this profile

CSDB.GGS+PREMIER12,563 · Blue bandPEAK ELO1,349csdb.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

Aim78
Positioning58
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateWLWWLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +1.3pp headshot accuracy · +34ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 656ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 594ms

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 (+0.8 against its own average).

Aim7.8
Utility6.1
Positioning5.8
Opening Duels3.2
Clutch6.0

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 93% 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. 605ms 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

Aim7.8
Positioning5.8
Utility6.1
Mechanics7.2
Opening Duels4.9
Win Impact6.1

Composite 6.3/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time605ms−71ms
first ⅓ avg 676ms → last ⅓ avg 605ms
Headshot accuracy19.4%−1.5%
first ⅓ avg 20.9% → last ⅓ avg 19.4%

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

0.13Best match rating · 13–2 · inferno, 17 May →
44%Best headshot accuracy · 2–7 · dust2, 22 May →
484msFastest reaction time · 13–5 · inferno, 10 Oct →
13–0Biggest win · dust2, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A1710–759%0.01
mirageC176–1135%-0.01
cacheB168–850%-0.01
ancientD134–931%-0.01
infernoB126–650%0.02
anubisC104–640%-0.02
nukeD103–730%-0.04
overpassA53–260%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,752Lifetime kills
0.92K/D
6,185Matches
46.6%Match win rate · Top 50% of Blue band
42.7%Headshot % · Top 50% of Blue band
15.3%Shot accuracy · Top 25% of Blue band
12,866MVPs
3,257Hours (in match)
3,631Bombs planted
1,376Bombs defused

Most-used weapons

AK-4740,745
AWP20,262
SSG 083,106
P2502,383
FAMAS2,161

Lifetime map wins

15,676dust2
10,251inferno
1,960nuke
1,463office
1,192train
782vertigo
323cbble
53italy

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

Faceit stats

Combat

625Matches
52%Win rate
1.02Avg K/D
72.3ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis850%0.8012.4
Inferno650%1.0713.8
Ancient633%0.7715.3
Vertigo475%0.7711.5
Mirage475%0.9313.5
Overpass250%1.5618.5
Dust2250%1.4411.0
Nuke1100%0.606.0

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.

19.5%Headshot accuracy
35.0%Accuracy (enemy spotted)
38.1%Spray accuracy
82.4%Counter-strafing
7.9°Preaim
605msReaction time
48.9%T opening success
50.5%CT opening success
0.62Enemies flashed / flash
6.3%Flash assists
13.49HE damage / grenade
9.25Flashes / match

Recommended for you

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0233%31 Oct →
cache3–130.0112%31 Oct →
dust213–00.0616%30 Oct →
mirage8–10.0324%30 Oct →
mirage10–13-0.0121%30 Oct →
nuke13–160.0317%23 Oct →
anubis16–140.0122%23 Oct →
inferno8–13-0.0130%22 Oct →
inferno13–100.1214%22 Oct →
anubis13–16-0.0120%11 Oct →
inferno13–50.1123%10 Oct →
dust213–2-0.0124%9 Oct →
ancient12–160.0216%8 Oct →
ancient13–70.0526%7 Oct →
mirage13–70.0324%7 Oct →
ancient9–13-0.0318%3 Oct →
anubis13–11-0.0317%3 Oct →
nuke13–3-0.0313%3 Oct →
mirage11–130.0221%3 Oct →
inferno5–130.0116%3 Oct →
inferno6–13-0.0621%2 Oct →
mirage6–130.0323%2 Oct →
cache13–110.0121%19 Sept →
mirage7–13-0.078%19 Sept →
dust27–13-0.0124%19 Sept →
dust213–70.0120%19 Sept →
mirage13–60.0322%19 Sept →
inferno13–80.0911%18 Sept →
ancient13–11-0.0218%18 Sept →
nuke3–13-0.0312%18 Sept →
inferno3–13-0.055%15 Sept →
dust28–13-0.0421%1 Sept →
mirage13–100.0324%1 Sept →
ancient8–130.0215%25 Aug →
mirage11–13-0.0317%18 Aug →
nuke16–14-0.0910%17 Aug →
mirage13–3-0.0220%17 Aug →
mirage7–13-0.0017%17 Aug →
mirage11–130.0218%16 Aug →
nuke1–4-0.100%9 Aug →
dust213–40.1020%9 Aug →
dust213–7-0.0213%9 Aug →
nuke0–6-0.090%2 Aug →
ancient4–13-0.0532%2 Aug →
nuke13–90.1123%1 Aug →
mirage13–9-0.0925%18 Jul →
ancient3–11-0.0513%27 Jun →
mirage9–13-0.0429%27 Jun →
ancient13–70.0319%26 Jun →
ancient11–130.0126%15 Jun →
ancient5–13-0.100%7 Jun →
overpass13–90.0517%7 Jun →
ancient9–13-0.0615%30 May →
dust213–90.0234%30 May →
ancient13–60.0026%29 May →
dust22–7-0.0344%22 May →
nuke2–11-0.1133%19 May →
anubis5–13-0.0222%19 May →
mirage5–13-0.0212%18 May →
dust213–80.0128%18 May →
anubis6–130.0019%17 May →
dust213–40.0431%17 May →
inferno13–20.1344%17 May →
anubis7–13-0.0524%16 May →
overpass7–13-0.0228%16 May →
anubis14–16-0.0420%16 May →
inferno4–13-0.0532%16 May →
inferno13–9-0.0216%15 May →
anubis13–110.0025%15 May →
dust213–10.1325%15 May →
dust213–20.0217%15 May →
inferno13–10-0.0317%15 May →
anubis9–13-0.0525%15 May →
dust28–130.0128%15 May →
nuke8–130.0129%15 May →
cache7–13-0.0833%10 May →
cache2–6-0.0814%2 May →
cache13–50.0724%2 May →
cache13–60.0621%2 May →
cache10–13-0.0221%2 May →
overpass13–60.0218%1 May →
overpass7–130.0025%1 May →
dust212–12-0.0417%1 May →
mirage2–13-0.0714%1 May →
cache8–13-0.0722%1 May →
cache10–20.0720%1 May →
cache8–13-0.0314%1 May →
cache10–130.0121%30 Apr →
cache13–40.0230%30 Apr →
cache13–10-0.0024%30 Apr →
cache13–4-0.0416%29 Apr →
cache3–13-0.0524%29 Apr →
cache13–11-0.0313%29 Apr →
dust213–16-0.0527%22 Apr →
overpass13–90.0321%22 Apr →
inferno4–13-0.0626%22 Apr →
nuke7–13-0.0814%22 Apr →
mirage9–13-0.0421%21 Apr →
ancient15–150.0521%20 Apr →
dust23–13-0.098%19 Apr →

Match data via Leetify.

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.