Counter Strike 3

Counter Strike 3 — CS2 Stats

76561198125792203[U:1:165526475]Steam profile ↗✓ No bans

252Tracked matches42%Win rate2021Tracked since
1,484Hours in CS52Hrs last 2 wks
CSDB Rating2.9 LearningPositional Player
Premier CS Rating6,140Light Blue band · top ~73.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). 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: 6,140 -1,301 23 Aug – 30 Sept · 17 days played
6,1408,813peak 8,81323 Aug30 Sept
8,946Peak Premier in tracked matches
35Days played since 2026-08-17

Premier CS Rating

  • 2,673 below peak (8,813)
  • -2,234 over 30 days · declining
  • Next: Blue band at 10,000 — 3,860 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-01

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches135——
Win rate44%——
K/D0.89——
Headshot %41%——

Measured 1 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,040), 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 3 medianLevel 4 medianvs Level 4
Headshot rate35.5%41.8%42.7%7.2% short
Shot accuracy5.5%12.2%11.3%5.8% short
Kill/death ratio0.990.980.99meets
Match win rate39.3%43.3%43.9%4.6% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCounter Strike 3FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,140 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim24
Positioning50
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY37–57–6Last 10037%Win rateWWLLLLLLWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −3.3pp headshot accuracy · +48ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 652ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 9%
  • Avg reaction 638ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 615ms

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).

Aim2.4
Utility4.4
Positioning5.0
Opening Duels0.7
Clutch3.6

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 56% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 48% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 634ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.4
Positioning5.0
Utility4.4
Mechanics2.9
Opening Duels2.2
Win Impact2.4

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time630ms+12ms
first ⅓ avg 618ms → last ⅓ avg 630ms
Headshot accuracy14.0%+3.4%
first ⅓ avg 10.6% → last ⅓ avg 14.0%

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

0.15Best match rating · 13–9 · dust2, 8 Sept →
33%Best headshot accuracy · 6–13 · inferno, 24 Sept →
375msFastest reaction time · 13–5 · cache, 28 Sept →
13–1Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
4–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 67% over 6ancientWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%-0.01
dust2D154–1127%-0.01
nukeD133–1023%-0.03
ancientD121–118%-0.01
cacheB126–650%-0.05
anubisD93–633%-0.02
overpassS64–267%-0.04
infernoB63–350%-0.04
train—32–167%-0.02
vertigo—31–233%-0.11
cbble—10–10%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,366Lifetime kills
0.99K/D · Top 50% of Level 3 players
4,034Matches
39.3%Match win rate
35.5%Headshot %
5.5%Shot accuracy
2,862MVPs
947Hours (in match)
674Bombs planted
298Bombs defused

Most-used weapons

AK-476,605
XM10144,087
AWP2,923
SG 5532,201
Knife2,081
P901,953
AUG1,703
MAC-101,641
MP71,628

Lifetime map wins

5,800dust2
2,171inferno
1,356nuke
748vertigo
246office
236train
193italy
174lake

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

Faceit stats

Combat

30Matches
30%Win rate
0.82Avg K/D
77.8ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
8%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21010%0.8213.5
Mirage540%0.7712.2
Nuke560%1.1016.6
Cache30%0.8314.7
Train250%0.7513.5
Inferno2100%0.9818.5
Anubis20%0.243.5

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.

13.6%Headshot accuracy
27.1%Accuracy (enemy spotted)
26.5%Spray accuracy
63.2%Counter-strafing
11.0°Preaim
634msReaction time
47.8%T opening success
29.6%CT opening success
0.45Enemies flashed / flash
4.5%Flash assists
10.98HE damage / grenade
8.87Flashes / 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 13.5977% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4478 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.6043% — below the 40% mark we flag

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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–9-0.0514%1 Oct →
overpass13–20.0912%1 Oct →
ancient6–13-0.097%30 Sept →
anubis2–13-0.0315%30 Sept →
ancient4–13-0.089%30 Sept →
dust29–13-0.0716%30 Sept →
vertigo9–13-0.094%29 Sept →
nuke7–13-0.120%29 Sept →
cache13–10-0.085%29 Sept →
train13–30.0211%29 Sept →
mirage13–10-0.0212%28 Sept →
mirage13–60.0113%28 Sept →
ancient6–130.0510%28 Sept →
cache12–12-0.0511%28 Sept →
dust211–13-0.0213%28 Sept →
nuke12–120.0217%28 Sept →
cache13–5-0.089%28 Sept →
cache13–11-0.058%27 Sept →
ancient7–13-0.0619%27 Sept →
nuke10–13-0.0115%26 Sept →
ancient5–130.0217%26 Sept →
inferno6–13-0.0333%24 Sept →
train10–13-0.0412%24 Sept →
overpass12–12-0.0318%24 Sept →
cache3–13-0.0213%24 Sept →
inferno13–8-0.0830%23 Sept →
cache12–12-0.0412%23 Sept →
overpass13–9-0.0612%23 Sept →
dust210–13-0.0127%23 Sept →
mirage13–100.0914%21 Sept →
dust25–13-0.0628%18 Sept →
anubis5–13-0.0711%17 Sept →
cache4–13-0.0516%17 Sept →
dust210–13-0.0920%17 Sept →
nuke13–16-0.0221%17 Sept →
cache10–13-0.0215%17 Sept →
mirage6–13-0.0219%16 Sept →
nuke13–8-0.0130%16 Sept →
inferno13–10.0319%16 Sept →
dust211–13-0.0313%16 Sept →
ancient6–13-0.0417%16 Sept →
mirage13–10-0.0524%16 Sept →
mirage8–130.0425%15 Sept →
mirage12–12-0.0610%14 Sept →
anubis13–10-0.0222%14 Sept →
ancient5–13-0.0613%14 Sept →
mirage16–130.0214%14 Sept →
dust29–13-0.0419%14 Sept →
nuke13–40.0221%10 Sept →
nuke6–13-0.039%10 Sept →
overpass13–10-0.049%9 Sept →
nuke13–100.0311%8 Sept →
ancient10–130.0615%8 Sept →
dust213–90.1510%8 Sept →
ancient9–130.0225%7 Sept →
anubis15–150.0110%7 Sept →
dust23–13-0.018%6 Sept →
ancient4–130.0613%6 Sept →
mirage7–13-0.065%6 Sept →
nuke9–13-0.0421%4 Sept →
anubis13–7-0.057%4 Sept →
cache13–3-0.0114%4 Sept →
anubis7–13-0.029%4 Sept →
mirage13–11-0.056%4 Sept →
mirage10–13-0.0114%4 Sept →
nuke10–13-0.059%4 Sept →
dust213–11-0.0110%3 Sept →
inferno8–13-0.0911%3 Sept →
inferno4–13-0.0317%1 Sept →
overpass8–2-0.0615%1 Sept →
mirage13–60.0117%1 Sept →
anubis13–60.028%30 Aug →
mirage2–13-0.097%30 Aug →
mirage0–13-0.0715%29 Aug →
vertigo3–9-0.204%28 Aug →
cbble3–13-0.060%28 Aug →
ancient13–80.0213%28 Aug →
nuke13–16-0.0114%27 Aug →
dust25–13-0.0511%26 Aug →
cache13–8-0.046%26 Aug →
dust26–130.047%26 Aug →
inferno16–13-0.064%26 Aug →
vertigo9–5-0.037%26 Aug →
overpass7–9-0.155%26 Aug →
nuke6–13-0.0310%24 Aug →
ancient5–130.019%23 Aug →
mirage13–40.0516%23 Aug →
mirage5–13-0.053%22 Aug →
anubis9–130.0111%22 Aug →
cache1–13-0.1117%22 Aug →
mirage13–80.0514%22 Aug →
dust213–20.0414%22 Aug →
dust29–130.0914%21 Aug →
mirage11–13-0.014%21 Aug →
mirage13–10-0.0311%20 Aug →
anubis8–13-0.0310%19 Aug →
dust213–70.0026%19 Aug →
mirage10–130.0114%18 Aug →
nuke2–13-0.130%17 Aug →
cache13–11-0.0414%17 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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