nik

nik — CS2 Stats

CA76561197982084087[U:1:21818359]Steam profile ↗✓ No bans

1,496Tracked matches53%Win rate2021Tracked since
CSDB Rating5.9 SolidPositional Player
FaceitLevel 7 · 1,726 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,726 → 1,726
+21Tracked matches · now 1,496
−3.3ppWin rate · 56.7% → 53.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 46 days played since 1 Feb 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,223 +2,718 8 Mar – 19 Apr · 9 days played
16,50519,223peak 19,2238 Mar19 Apr
19,223Peak Premier in tracked matches
1,726Highest Faceit ELO seen on CSDB
46Days played since 2026-02-01

Faceit ELO

  • At peak — 1,726
  • Next: Level 9 at 1,751 — 25 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-15
  • Level 7 first seen 2026-09-15

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.

Share this profile

CSDB.GGnikFACEITLevel 7 · 1,726 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,726csdb.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

Aim75
Positioning60
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateLWLWLTWLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.9pp headshot accuracy · +105ms 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 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 606ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 657ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 605ms

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 (+1.7 against its own average).

Aim7.5
Utility5.3
Positioning6.0
Opening Duels2.9
Clutch3.0

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 92% 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. 572ms 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

Aim7.5
Positioning6.0
Utility5.3
Mechanics6.4
Opening Duels3.5
Win Impact6.1

Composite 5.9/10 (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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time591ms−56ms
first ⅓ avg 647ms → last ⅓ avg 591ms
Headshot accuracy17.6%+5.3%
first ⅓ avg 12.3% → last ⅓ avg 17.6%

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 · 13–1 · mirage, 15 Sept →
39%Best headshot accuracy · 8–8 · nuke, 21 Sept →
469msFastest reaction time · 8–13 · ancient, 21 Sept →
13–1Biggest win · mirage, 15 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 68% over 22infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientS2215–768%-0.00
anubisA2212–1055%-0.01
nukeD175–1229%-0.01
mirageA159–660%0.01
dust2C73–443%-0.03
infernoD61–517%0.03
overpassS64–267%-0.02
cacheA53–260%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

386Matches
51%Win rate
1.03Avg K/D
80.0ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis11256%1.1016.3
Ancient10154%1.0216.1
Mirage8656%1.0615.0
Inferno2236%0.9315.1
Nuke2124%0.8914.1
Dust21553%1.0516.1
Overpass1346%0.8414.5
Cache743%0.8412.3

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.

16.2%Headshot accuracy
38.8%Accuracy (enemy spotted)
41.8%Spray accuracy
78.9%Counter-strafing
10.6°Preaim
572msReaction time
49.8%T opening success
38.1%CT opening success
0.62Enemies flashed / flash
2.2%Flash assists
9.72HE damage / grenade
6.58Flashes / 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. Advanced Mechanics

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

    CT opening duels 38.0648% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0417%21 Sept →
mirage13–100.0120%21 Sept →
nuke4–13-0.0323%21 Sept →
ancient13–30.1318%21 Sept →
inferno7–90.0420%21 Sept →
nuke8–80.0339%21 Sept →
inferno9–30.0832%21 Sept →
mirage5–13-0.0312%20 Sept →
mirage13–7-0.048%20 Sept →
cache2–13-0.0616%20 Sept →
anubis7–130.0117%20 Sept →
dust29–13-0.0315%20 Sept →
inferno8–80.0620%20 Sept →
nuke13–10-0.0314%20 Sept →
inferno8–130.0118%18 Sept →
mirage11–13-0.0518%17 Sept →
cache13–70.0015%17 Sept →
anubis1–13-0.068%17 Sept →
mirage13–50.0322%15 Sept →
ancient13–70.049%15 Sept →
mirage13–10.1718%15 Sept →
inferno7–13-0.0222%14 Sept →
ancient13–70.0411%14 Sept →
mirage13–90.0127%14 Sept →
nuke9–130.0421%13 Sept →
ancient13–8-0.0213%13 Sept →
mirage13–70.0117%12 Sept →
ancient13–10-0.018%12 Sept →
anubis14–160.0316%10 Sept →
ancient16–120.0113%10 Sept →
anubis13–50.1210%4 Sept →
ancient4–13-0.0322%4 Sept →
cache13–110.0420%3 Sept →
anubis4–13-0.0016%3 Sept →
ancient12–160.029%2 Sept →
nuke13–100.0510%1 Sept →
nuke13–110.0111%1 Sept →
anubis6–13-0.0612%24 Aug →
anubis10–13-0.0117%24 Aug →
nuke10–13-0.0414%14 Aug →
anubis16–120.0217%14 Aug →
cache8–13-0.0426%12 Aug →
ancient8–130.0413%12 Aug →
mirage13–10-0.009%12 Aug →
nuke14–16-0.0114%8 Aug →
dust26–13-0.0823%8 Aug →
cache13–50.0019%6 Aug →
anubis13–60.0320%6 Aug →
ancient13–8-0.0615%3 Aug →
mirage13–160.0323%3 Aug →
anubis13–50.0422%19 Apr →
mirage13–80.0513%19 Apr →
ancient13–110.0013%18 Apr →
ancient15–15-0.0510%5 Apr →
ancient5–130.0112%5 Apr →
ancient10–13-0.026%27 Mar →
anubis10–140.0019%24 Mar →
inferno5–130.0015%23 Mar →
dust213–7-0.0410%23 Mar →
anubis13–7-0.0016%19 Mar →
dust215–15-0.048%17 Mar →
nuke13–80.0313%17 Mar →
anubis16–130.016%15 Mar →
nuke11–13-0.0414%15 Mar →
mirage8–13-0.097%9 Mar →
ancient13–10-0.029%9 Mar →
overpass13–10-0.0110%8 Mar →
dust27–130.0018%8 Mar →
nuke13–160.0312%7 Mar →
mirage8–13-0.028%7 Mar →
nuke9–13-0.048%3 Mar →
anubis10–13-0.0311%1 Mar →
anubis11–13-0.0513%1 Mar →
overpass13–11-0.018%26 Feb →
nuke5–13-0.038%26 Feb →
anubis13–9-0.0516%23 Feb →
anubis20–22-0.0011%22 Feb →
ancient13–80.009%22 Feb →
overpass7–13-0.0014%19 Feb →
nuke13–8-0.0717%19 Feb →
anubis13–7-0.0113%17 Feb →
anubis13–9-0.0415%15 Feb →
dust213–70.0616%15 Feb →
ancient19–15-0.045%14 Feb →
ancient13–8-0.0310%12 Feb →
ancient16–12-0.0114%12 Feb →
nuke9–13-0.037%10 Feb →
anubis13–6-0.0117%10 Feb →
anubis13–7-0.0415%8 Feb →
overpass13–50.004%8 Feb →
dust213–7-0.0612%8 Feb →
ancient13–90.0019%5 Feb →
nuke8–13-0.0313%5 Feb →
anubis13–7-0.068%5 Feb →
overpass13–9-0.0312%3 Feb →
mirage13–50.0616%3 Feb →
nuke5–13-0.0111%3 Feb →
overpass6–13-0.078%1 Feb →
mirage1–13-0.0524%1 Feb →
ancient13–8-0.0316%1 Feb →

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 →