n1cS

n1cS — CS2 Stats

DE76561198170573786[U:1:210308058]Steam profile ↗✓ No bans

904Tracked matches50%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating18,398Purple band · top ~14.9% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (4 days ago). 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: 18,398 +3,943 4 Jun – 5 Oct · 15 days played
14,45520,110peak 20,1104 Jun5 Oct
20,110Peak Premier in tracked matches
1,403Highest Faceit ELO seen on CSDB
46Days played since 2026-06-03

Faceit ELO

  • At peak — 1,403
  • Next: Level 8 at 1,531 — 128 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 1,712 below peak (20,110)
  • -398 over 30 days · steady
  • -947 over 90 days
  • Next: Pink band at 20,000 — 1,602 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGn1cSPREMIER18,398 · Purple bandPEAK ELO1,403csdb.gg/stats

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Performance scores

Aim79
Positioning57
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWLWWLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +0.7pp headshot accuracy · +2ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 591ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 576ms

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).

Aim7.9
Utility5.2
Positioning5.7
Opening Duels1.2
Clutch4.4

Limited utility dependence

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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 579ms 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

Aim7.9
Positioning5.7
Utility5.2
Mechanics6.7
Opening Duels1.1
Win Impact5.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time571ms−52ms
first ⅓ avg 623ms → last ⅓ avg 571ms
Headshot accuracy22.8%−0.3%
first ⅓ avg 23.1% → last ⅓ avg 22.8%

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

0.20Best match rating · 13–0 · cache, 1 Jul →
44%Best headshot accuracy · 13–8 · cache, 9 Jun →
422msFastest reaction time · 13–8 · office, 7 Sept →
13–0Biggest win · cache, 1 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
1–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 80% over 10infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB3016–1453%0.03
mirageB105–550%0.02
ancientS108–280%0.07
nukeB84–450%0.06
infernoD82–625%0.02
vertigoA74–357%0.04
shelterC73–443%0.05
officeD62–433%0.04
dust2C52–340%0.02
anubis—42–250%-0.01
train—21–150%0.06
overpass—21–150%0.09
poseidon—10–10%-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

431Matches
50%Win rate
1.22Avg K/D
85.2ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno5454%1.3717.9
Mirage2454%1.2518.2
Ancient2148%1.1619.6
Anubis1953%1.3217.3
Overpass1747%1.2716.6
Dust21443%1.1516.6
Vertigo1443%1.6117.3
Nuke1173%1.3719.0

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.

23.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
39.0%Spray accuracy
80.1%Counter-strafing
9.2°Preaim
579msReaction time
32.7%T opening success
36.3%CT opening success
0.55Enemies flashed / flash
1.0%Flash assists
6.94HE damage / grenade
3.91Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9145 — below the 4 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 32.7044% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–70.0124%6 Oct →
cache9–13-0.0317%5 Oct →
nuke13–60.1126%5 Oct →
inferno13–110.0829%5 Oct →
mirage11–130.0426%4 Oct →
mirage11–130.0120%4 Oct →
mirage13–60.0319%23 Sept →
cache8–13-0.0129%23 Sept →
cache6–130.0331%16 Sept →
cache13–30.1124%16 Sept →
cache8–13-0.0022%15 Sept →
vertigo13–10-0.0024%15 Sept →
office13–8-0.0329%7 Sept →
train13–70.0327%5 Sept →
mirage6–13-0.0417%31 Aug →
inferno13–60.0222%31 Aug →
dust27–130.0022%31 Aug →
shelter5–13-0.0917%24 Aug →
office13–80.0631%24 Aug →
overpass9–130.0728%22 Aug →
nuke13–7-0.0025%22 Aug →
vertigo13–60.0825%19 Aug →
ancient13–20.0326%19 Aug →
ancient13–160.0419%16 Aug →
nuke8–13-0.0115%16 Aug →
dust211–13-0.0120%16 Aug →
ancient13–90.0214%11 Aug →
ancient9–13-0.0136%9 Aug →
ancient13–70.0622%9 Aug →
cache3–13-0.045%8 Aug →
shelter13–70.1721%8 Aug →
shelter9–130.0511%7 Aug →
shelter12–120.0231%7 Aug →
shelter13–30.1011%7 Aug →
shelter12–120.0726%7 Aug →
anubis13–16-0.0124%31 Jul →
vertigo10–130.1220%29 Jul →
vertigo13–70.1218%29 Jul →
inferno11–130.0518%26 Jul →
mirage5–13-0.0925%26 Jul →
anubis12–120.0235%26 Jul →
shelter13–4-0.0019%24 Jul →
mirage0–13-0.0410%24 Jul →
nuke13–80.1420%20 Jul →
ancient13–80.0214%20 Jul →
inferno11–130.0316%19 Jul →
dust213–100.0620%19 Jul →
office5–130.0321%17 Jul →
inferno8–130.0115%16 Jul →
nuke13–70.0818%16 Jul →
mirage16–120.0219%16 Jul →
cache5–13-0.0618%16 Jul →
cache5–13-0.0215%15 Jul →
cache9–13-0.0715%15 Jul →
train6–130.0823%15 Jul →
cache13–70.0920%14 Jul →
cache13–90.0922%13 Jul →
vertigo13–8-0.0124%13 Jul →
cache6–13-0.0135%13 Jul →
cache13–80.0326%13 Jul →
cache13–60.0436%13 Jul →
mirage13–60.1523%13 Jul →
ancient8–10.1742%13 Jul →
overpass9–40.1123%13 Jul →
mirage13–9-0.0216%12 Jul →
cache13–70.0737%12 Jul →
anubis13–8-0.0030%12 Jul →
office7–13-0.0034%11 Jul →
office12–120.0517%11 Jul →
inferno7–9-0.0026%11 Jul →
ancient13–80.0519%10 Jul →
nuke9–130.0627%10 Jul →
nuke11–130.0633%9 Jul →
ancient13–20.1823%9 Jul →
cache7–13-0.0214%9 Jul →
mirage13–60.0923%9 Jul →
anubis13–5-0.0416%9 Jul →
cache13–7-0.0419%9 Jul →
dust24–130.0127%9 Jul →
inferno8–13-0.0511%7 Jul →
cache13–50.0832%2 Jul →
cache8–130.0424%2 Jul →
cache13–00.2024%1 Jul →
poseidon6–9-0.0920%1 Jul →
vertigo7–90.0423%1 Jul →
cache13–40.0625%26 Jun →
dust213–60.0719%23 Jun →
nuke11–130.0722%19 Jun →
office3–130.1116%17 Jun →
cache2–13-0.0337%17 Jun →
cache13–50.0619%16 Jun →
ancient13–100.1018%13 Jun →
cache13–80.0519%12 Jun →
vertigo2–13-0.0319%12 Jun →
cache13–60.0415%12 Jun →
cache13–80.0644%9 Jun →
cache4–130.0320%6 Jun →
inferno9–13-0.0137%4 Jun →
cache12–12-0.0216%4 Jun →
cache13–70.0525%3 Jun →

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 →

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