NiKo_t

NiKo_t — CS2 Stats

76561198369266659[U:1:409000931]Steam profile ↗✓ No bans

1,404Tracked matches43%Win rate2020Tracked since
2,004Hours in CS12Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
FaceitLevel 8 · 1,745 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (63 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,745 → 1,745
+84Tracked matches · now 1,404
−16.7ppWin rate · 60.0% → 43.3%

Rating over time

1,745Highest Faceit ELO seen on CSDB
37Days played since 2026-08-24

Faceit ELO

  • At peak — 1,745
  • Next: Level 9 at 1,751 — 6 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-13
  • Level 7 first seen 2026-09-13

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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=15,878), 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 rate65.4%46.8%48.2%above
Shot accuracy4.8%13.0%13.2%8.4% short
Kill/death ratio1.401.061.07above
Match win rate42.9%46.3%46.9%4.1% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGNiKo_tFACEITLevel 8 · 1,745 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,745csdb.gg/stats

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Performance scores

Aim93
Positioning71
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateLLWWWWLLLW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · +0.5pp headshot accuracy · +8ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 506ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 525ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 521ms

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 (+1.5 against its own average).

Aim9.3
Utility6.1
Positioning7.1
Opening Duels5.6
Clutch3.6

Sharp aimerExcellent counter-strafing

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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3
Positioning7.1
Utility6.1
Mechanics8.8
Opening Duels7.1
Win Impact2.8

Composite 7.1/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time517ms−14ms
first ⅓ avg 531ms → last ⅓ avg 517ms
Headshot accuracy20.7%−1.3%
first ⅓ avg 22.0% → last ⅓ avg 20.7%

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

0.11Best match rating · 13–6 · ancient, 22 Oct →
41%Best headshot accuracy · 13–4 · mirage, 9 Sept →
328msFastest reaction time · 13–4 · ancient, 27 Aug →
13–2Biggest win · inferno, 17 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 64% over 11ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2510–1540%-0.01
anubisB2111–1052%0.01
ancientC166–1038%0.01
dust2A148–657%-0.01
infernoA117–464%0.01
cacheC94–544%0.01
nuke—42–250%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,307Lifetime kills
1.40K/D · Top 10% of Level 8 players
2,626Matches
42.9%Match win rate
65.4%Headshot % · Top 5% of Level 8 players
4.8%Shot accuracy
5,401MVPs
2,129Hours (in match)
2,484Bombs planted
1,054Bombs defused

Most-used weapons

AK-4763,345
AWP4,961
FAMAS1,492
MP91,157
Knife696

Lifetime map wins

5,220dust2
4,522inferno
1,865nuke
714train
183vertigo
75cbble
11italy
4office

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

Faceit stats

Combat

817Matches
51%Win rate
1.13Avg K/D
83.0ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage20951%1.1315.9
Dust219155%1.1916.4
Ancient11051%1.1116.4
Inferno9943%1.1016.5
Anubis5646%1.0915.7
Nuke4844%1.0217.2
Cache2250%1.3215.4
Overpass1979%1.4717.6

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.

20.6%Headshot accuracy
42.7%Accuracy (enemy spotted)
41.0%Spray accuracy
89.6%Counter-strafing
9.1°Preaim
509msReaction time
64.4%T opening success
52.4%CT opening success
0.62Enemies flashed / flash
7.1%Flash assists
7.57HE damage / grenade
10.17Flashes / match

Recommended for you

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0027%13 Nov →
dust210–130.0216%9 Nov →
cache13–70.0013%5 Nov →
nuke13–60.0822%3 Nov →
cache13–60.0116%3 Nov →
dust26–4-0.0733%30 Oct →
anubis20–22-0.0312%24 Oct →
ancient6–13-0.0330%24 Oct →
mirage11–13-0.0125%24 Oct →
cache13–40.0924%24 Oct →
cache3–130.0531%22 Oct →
inferno6–130.0423%22 Oct →
ancient13–60.1114%22 Oct →
ancient8–13-0.0112%22 Oct →
mirage9–130.0619%21 Oct →
dust213–70.0019%21 Oct →
mirage10–130.0324%21 Oct →
ancient10–130.0320%20 Oct →
anubis8–130.0118%20 Oct →
anubis8–130.0232%20 Oct →
anubis13–80.0323%20 Oct →
mirage12–16-0.0331%15 Oct →
anubis10–13-0.0422%15 Oct →
inferno2–13-0.0114%14 Oct →
anubis8–13-0.0023%14 Oct →
inferno13–60.0616%13 Oct →
anubis13–30.0612%12 Oct →
mirage13–100.0723%12 Oct →
anubis13–60.0716%12 Oct →
mirage22–200.0220%12 Oct →
ancient3–13-0.046%11 Oct →
nuke7–130.0331%11 Oct →
anubis13–10-0.0217%11 Oct →
cache4–13-0.0612%9 Oct →
inferno13–70.0420%7 Oct →
mirage17–19-0.0626%7 Oct →
mirage14–16-0.009%6 Oct →
cache10–13-0.0113%6 Oct →
anubis13–7-0.0117%6 Oct →
inferno13–60.1022%5 Oct →
dust210–130.0329%5 Oct →
cache10–13-0.0318%5 Oct →
anubis13–100.0221%5 Oct →
anubis13–90.0117%5 Oct →
mirage13–11-0.0232%4 Oct →
cache8–13-0.0314%3 Oct →
ancient13–4-0.0411%3 Oct →
mirage6–13-0.1214%3 Oct →
dust213–80.0111%3 Oct →
mirage11–13-0.0814%28 Sept →
inferno16–14-0.0225%28 Sept →
ancient5–13-0.0023%28 Sept →
mirage13–60.0316%28 Sept →
nuke13–110.0422%27 Sept →
dust213–6-0.0417%27 Sept →
anubis13–90.0114%27 Sept →
mirage13–90.0416%27 Sept →
mirage13–8-0.0322%27 Sept →
inferno6–13-0.0635%26 Sept →
inferno7–13-0.0129%26 Sept →
mirage4–13-0.0323%26 Sept →
ancient8–130.0122%26 Sept →
mirage7–13-0.068%26 Sept →
dust212–16-0.0227%26 Sept →
mirage13–100.0434%25 Sept →
cache13–110.0320%25 Sept →
ancient13–80.0637%25 Sept →
nuke8–130.0124%22 Sept →
ancient13–70.0724%22 Sept →
dust213–5-0.0133%22 Sept →
mirage11–130.0320%20 Sept →
anubis3–13-0.0311%20 Sept →
inferno13–20.0224%17 Sept →
mirage11–13-0.0312%17 Sept →
dust213–2-0.0111%16 Sept →
inferno13–10-0.0532%16 Sept →
mirage13–16-0.0417%16 Sept →
mirage10–13-0.0625%16 Sept →
dust26–13-0.0325%14 Sept →
anubis13–60.1021%14 Sept →
ancient14–160.0022%13 Sept →
mirage6–13-0.0220%13 Sept →
ancient6–130.0322%13 Sept →
dust213–110.0431%12 Sept →
dust213–80.0327%10 Sept →
anubis7–130.0028%10 Sept →
mirage13–40.0041%9 Sept →
anubis13–50.0219%27 Aug →
ancient13–40.0526%27 Aug →
anubis13–110.0218%27 Aug →
mirage13–100.0123%27 Aug →
dust25–13-0.0426%26 Aug →
ancient10–130.0019%26 Aug →
anubis9–13-0.0115%26 Aug →
dust210–13-0.0115%26 Aug →
ancient3–13-0.0328%25 Aug →
ancient13–70.0124%25 Aug →
anubis14–16-0.0011%25 Aug →
mirage13–6-0.0215%25 Aug →
inferno13–7-0.0218%24 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.