NijN

NijN — CS2 Stats

BE76561198404301336[U:1:444035608]Steam profile ↗✓ No bans

610Tracked matches48%Win rate2020Tracked since
1,185Hours in CS
CSDB Rating5.6 SolidOpening Duellist
FaceitLevel 8 · 1,595 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
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. 31 days played since 13 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,838 -1,639 13 Apr25 May · 25 days played
17,41919,842peak 19,84213 Apr25 May
19,999Peak Premier in tracked matches
1,595Highest Faceit ELO seen on CSDB
31Days played since 2026-04-13

Faceit ELO

  • At peak — 1,595
  • Next: Level 9 at 1,751 156 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-20
  • Level 7 first seen 2026-09-20

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 8 among CSDB-tracked players (n=13,483), 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 8 medianLevel 9 medianvs Level 9
Headshot rate34.4%46.8%48.3%13.9% short
Shot accuracy15.4%13.0%13.2%above
Kill/death ratio1.031.061.070.04 short
Match win rate41.0%46.3%46.9%5.9% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNijNFACEITLevel 8 · 1,595 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,595csdb.gg/stats

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Performance scores

Aim76
Positioning50
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLWLLWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −4.3pp headshot accuracy · +14ms 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

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 617ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 586ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 579ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+0.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.6
Utility4.9
Positioning5.0
Opening Duels5.6
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

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 581ms 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

Aim7.6
Positioning5.0
Utility4.9
Mechanics5.8
Opening Duels5.3
Win Impact4.4

Composite 5.6/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time576ms−29ms
first ⅓ avg 604ms → last ⅓ avg 576ms
Headshot accuracy12.1%−4.8%
first ⅓ avg 16.9% → last ⅓ avg 12.1%

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

0.31Best match rating · 9–2 · inferno, 14 Apr
50%Best headshot accuracy · 13–1 · mirage, 24 Apr
391msFastest reaction time · 9–7 · inferno, 19 May
13–0Biggest win · dust2, 30 Apr

Across the last 100 tracked matches.

Highlights

4Longest win streak
710In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 61% over 28ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageA28171161%0.02
dust2C2491538%0.01
infernoA22121055%-0.01
ancientD134931%-0.02
anubisB63350%-0.02
nukeA53260%0.01
overpass2020%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

64,738Lifetime kills
1.03K/D
3,473Matches
41.0%Match win rate
34.4%Headshot %
15.4%Shot accuracy · Top 50% of Level 8 players
7,679MVPs
1,185Hours (in match)
2,337Bombs planted
616Bombs defused

Most-used weapons

AK-4718,389
AWP12,281
FAMAS1,308
AUG1,290
SSG 081,013

Lifetime map wins

15,057dust2
4,686inferno
608nuke
217train
200lake
177vertigo
33office
26italy

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

Faceit stats

Combat

262Matches
53%Win rate
1.15Avg K/D
78.6ADR
31%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4643%1.2315.7
Dust23754%1.1415.8
Ancient2060%1.0714.8
Inferno1947%1.3717.4
Anubis1573%1.1114.8
Nuke1250%1.0113.2
Overpass2100%1.2117.5
Cache1100%2.1415.0

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.

12.2%Headshot accuracy
38.1%Accuracy (enemy spotted)
41.8%Spray accuracy
76.2%Counter-strafing
7.1°Preaim
581msReaction time
47.9%T opening success
54.2%CT opening success
0.51Enemies flashed / flash
5.1%Flash assists
9.60HE damage / grenade
8.02Flashes / 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 12.2305% — below the 15% mark we flag

    Aim Training
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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0611%2 Jul
dust213–50.047%18 Jun
ancient6–130.0315%28 May
mirage11–130.0022%25 May
ancient13–7-0.038%25 May
mirage13–5-0.019%25 May
dust210–130.0415%23 May
anubis4–13-0.094%21 May
inferno9–13-0.064%21 May
dust213–50.0318%20 May
mirage16–140.1021%20 May
inferno13–30.0710%20 May
ancient6–13-0.079%19 May
dust211–130.0517%19 May
mirage13–70.0823%19 May
inferno9–70.0215%19 May
inferno8–13-0.016%18 May
mirage15–15-0.0013%18 May
mirage13–9-0.0315%18 May
dust26–130.0029%18 May
inferno8–130.0213%17 May
mirage16–140.046%17 May
dust24–13-0.0810%17 May
inferno9–6-0.0612%17 May
inferno6–13-0.0410%15 May
anubis13–10-0.064%15 May
mirage13–70.0410%15 May
overpass9–13-0.0312%14 May
dust26–13-0.0526%14 May
dust213–8-0.078%14 May
dust213–70.004%13 May
nuke13–60.036%13 May
dust213–70.0511%8 May
ancient11–13-0.049%8 May
dust24–130.0312%8 May
nuke8–130.0011%7 May
mirage13–90.0811%6 May
inferno13–110.0817%6 May
dust213–16-0.026%5 May
dust29–13-0.0513%5 May
inferno9–6-0.106%5 May
ancient9–13-0.0617%4 May
ancient5–130.007%4 May
anubis6–13-0.026%3 May
dust28–130.0119%3 May
mirage2–13-0.0313%2 May
mirage13–80.039%2 May
inferno13–6-0.0314%2 May
mirage13–16-0.0410%2 May
mirage13–100.0110%30 Apr
dust213–00.0716%30 Apr
mirage13–70.0622%30 Apr
mirage13–80.0915%29 Apr
mirage11–130.0214%27 Apr
mirage5–13-0.0218%24 Apr
anubis13–70.0214%24 Apr
mirage11–130.023%24 Apr
mirage13–10.0550%24 Apr
inferno7–9-0.0517%24 Apr
anubis10–130.0012%22 Apr
nuke16–140.0515%22 Apr
overpass10–13-0.009%22 Apr
nuke13–7-0.018%22 Apr
ancient6–130.0017%22 Apr
dust215–15-0.0113%22 Apr
mirage13–60.0217%22 Apr
ancient13–60.005%22 Apr
mirage13–9-0.0111%22 Apr
mirage13–80.0827%22 Apr
inferno7–9-0.1115%22 Apr
inferno13–7-0.0220%21 Apr
ancient12–160.0117%21 Apr
mirage11–130.0324%21 Apr
inferno8–8-0.1114%21 Apr
inferno13–70.0211%17 Apr
dust23–130.0316%17 Apr
dust24–13-0.0211%17 Apr
inferno9–7-0.0118%17 Apr
inferno6–9-0.039%17 Apr
mirage13–60.0526%16 Apr
inferno9–2-0.0214%16 Apr
ancient6–13-0.0816%15 Apr
anubis13–50.058%15 Apr
dust213–4-0.0117%15 Apr
dust213–100.1027%15 Apr
ancient7–13-0.0613%15 Apr
mirage9–13-0.0321%15 Apr
inferno8–8-0.076%15 Apr
ancient13–60.0115%15 Apr
dust211–13-0.0217%14 Apr
mirage13–70.0518%14 Apr
dust211–130.0127%14 Apr
mirage7–130.0414%14 Apr
ancient13–100.039%14 Apr
nuke10–13-0.0028%14 Apr
mirage7–13-0.0727%14 Apr
inferno9–20.3115%14 Apr
dust213–80.0722%13 Apr
inferno4–9-0.057%13 Apr
inferno9–7-0.0019%13 Apr

Match data via Leetify.

Recent teammates

Milestones

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