four

four — CS2 Stats

US76561198854842842[U:1:894577114]Steam profile ↗

225Tracked matches63%Win rate2020Tracked since
545Hours in CS32Hrs last 2 wks
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#9499 of 22263 tracked
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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 playerPink band medianRed band medianvs Red band
Headshot rate35.9%47.2%49.9%14.1% short
Shot accuracy9.7%12.7%13.4%3.7% short
Kill/death ratio0.941.091.120.18 short
Match win rate44.5%46.6%48.4%3.9% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGfourPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim63
Positioning58
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY58375Last 10058%Win rateLLLWWWWLLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression5.0
Utility5.1
Positioning5.8
Opening Duels1.9
Clutch5.4

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.

Your pro match

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 51% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim6.3
Positioning5.8
Utility5.1
Mechanics7.0
Opening Duels2.7
Win Impact9.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms−44ms
first ⅓ avg 644ms → last ⅓ avg 600ms
Headshot accuracy19.4%−1.9%
first ⅓ avg 21.3% → 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.

Highlights

0.29Best rating — inferno 9–0
131Biggest win — dust2
7Longest win streak
L3Current streak
68In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 83% over 6ancientWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB26131350%-0.00
dust2A2314961%0.02
nukeA149564%0.01
infernoA106460%0.04
ancientC94544%0.00
anubisA74357%0.04
cacheS65183%0.03
overpass220100%0.01
office2020%0.11
vertigo110100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,427Lifetime kills
0.94K/D
889Matches
44.5%Match win rate
35.9%Headshot %
9.7%Shot accuracy
2,082MVPs
296Hours (in match)
979Bombs planted
311Bombs defused

Most-used weapons

Lifetime map wins

1,891dust2
891inferno
542nuke
305vertigo
194train
126cbble
120office
22bank

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

Faceit stats

Combat

14Matches
43%Win rate
1.14Avg K/D
92.7ADR
45%Headshot %

Clutches & streaks

47%1v1 clutch win
23%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2333%1.0017.7
Anubis20%1.3020.5
Nuke20%1.5626.5
Vertigo2100%1.2418.0
Cache250%1.2915.5
Inferno1100%1.0617.0
Ancient1100%0.9222.0

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.

18.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
35.0%Spray accuracy
81.3%Counter-strafing
10.8°Preaim
600msReaction time
23.4%T opening success
51.5%CT opening success
0.47Enemies flashed / flash
5.0%Flash assists
7.94HE damage / grenade
14.35Flashes / 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 0.4746 — below the 0.5 mark we flag

    Grenade Lineups
  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 23.3634% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0422%29 Aug
mirage11–13-0.0119%29 Aug
dust214–16-0.0310%28 Aug
nuke13–4-0.025%28 Aug
dust216–120.0514%27 Aug
vertigo13–60.069%26 Aug
nuke16–130.0115%26 Aug
inferno1–13-0.0144%25 Aug
mirage6–13-0.0444%25 Aug
ancient13–10-0.0623%25 Aug
nuke13–100.0926%23 Aug
dust213–10-0.0224%23 Aug
cache6–130.0024%18 Aug
anubis11–130.0013%18 Aug
ancient9–13-0.0218%17 Aug
inferno5–13-0.0011%17 Aug
dust213–50.0424%17 Aug
cache13–10-0.0522%17 Aug
anubis13–8-0.0018%15 Aug
dust213–100.0315%15 Aug
cache13–7-0.0315%15 Aug
nuke11–13-0.0217%15 Aug
anubis13–20.0919%15 Aug
mirage13–110.0318%15 Aug
inferno13–50.0325%15 Aug
nuke16–130.0122%11 Aug
mirage13–110.0216%11 Aug
inferno13–10-0.0215%10 Aug
dust216–14-0.0216%10 Aug
anubis10–13-0.0214%10 Aug
inferno13–60.0113%9 Aug
cache13–50.1015%9 Aug
nuke13–110.0036%9 Aug
ancient9–130.0011%9 Aug
dust23–13-0.0629%8 Aug
ancient7–13-0.0324%8 Aug
mirage13–60.0018%8 Aug
ancient13–40.1123%8 Aug
dust213–40.0527%8 Aug
dust211–130.0419%7 Aug
mirage13–70.1023%7 Aug
nuke16–13-0.0117%7 Aug
dust27–13-0.0220%5 Aug
mirage11–130.0321%5 Aug
anubis6–130.0316%3 Aug
mirage13–6-0.066%3 Aug
mirage13–50.0021%2 Aug
dust22–130.1125%2 Aug
mirage5–130.0943%31 Jul
dust213–30.1221%31 Jul
nuke8–80.0010%31 Jul
inferno9–00.2931%31 Jul
inferno13–50.0828%31 Jul
mirage5–13-0.0713%11 Jul
dust213–10.0936%17 Jun
inferno15–15-0.0125%16 Jun
mirage13–70.0418%24 May
anubis13–50.0722%24 May
dust213–10-0.0524%24 May
cache13–90.0514%6 May
cache13–70.1315%6 May
mirage4–13-0.049%6 May
ancient13–30.1012%1 May
overpass13–2-0.0212%1 May
mirage4–13-0.0432%1 May
ancient11–13-0.0322%27 Apr
mirage13–110.0318%26 Apr
nuke13–10.0815%26 Apr
inferno13–16-0.0029%1 Apr
nuke13–30.0816%1 Apr
mirage10–13-0.0729%1 Apr
nuke15–15-0.068%31 Mar
mirage13–80.0016%31 Mar
dust25–13-0.1017%31 Mar
mirage6–130.0119%31 Mar
dust213–90.0428%30 Mar
mirage1–13-0.0322%30 Mar
nuke11–13-0.0512%30 Mar
mirage13–4-0.0132%30 Mar
mirage3–13-0.078%28 Mar
ancient16–12-0.0423%28 Mar
ancient8–13-0.0028%28 Mar
nuke15–150.0019%28 Mar
dust29–13-0.0618%27 Mar
mirage13–50.0131%27 Mar
mirage13–60.1122%27 Mar
nuke8–10.0630%27 Mar
dust213–10.0737%27 Mar
dust213–80.0425%25 Mar
dust213–20.0418%25 Mar
mirage4–13-0.0711%20 Mar
dust213–40.0832%20 Mar
inferno13–10-0.0222%20 Mar
anubis13–40.1113%20 Mar
mirage13–30.0425%19 Mar
dust26–13-0.0217%19 Mar
dust23–13-0.0319%19 Mar
overpass13–110.0414%19 Mar
office12–120.1024%18 Mar
office6–120.1323%18 Mar

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 →