NakkiS

NakkiS — CS2 Stats

FI76561198295025139[U:1:334759411]Steam profile ↗✓ No bans

4,249Tracked matches63%Win rate2020Tracked since
CSDB Rating6.0 SolidPositional Player
Premier CS Rating15,677Purple band · top ~25.7% of ranked players (population est.)
FaceitLevel 6 · 1,287 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 15,677 +1,035 14 Aug – 31 Oct · 28 days played
13,67415,939peak 15,93914 Aug31 Oct
16,145Peak Premier in tracked matches
1,287Highest Faceit ELO seen on CSDB
33Days played since 2026-08-14

Faceit ELO

  • At peak — 1,287
  • Next: Level 7 at 1,351 — 64 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-01
  • Level 5 first seen 2026-09-01

Premier CS Rating

  • 262 below peak (15,939)
  • +678 over 30 days · improving
  • +1,035 over 90 days
  • Next: Pink band at 20,000 — 4,323 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGNakkiSFACEITLevel 6 · 1,287 ELOSTANDINGTop 54.0% of rankedPREMIER15,677 · Purple bandPEAK ELO1,287csdb.gg/stats

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Performance scores

Aim54
Positioning66
Utility56

0–100 skill scores via Leetify.

Recent form

HOT50–48–2Last 10050%Win rateWLLWWWLWWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +4.6pp headshot accuracy · +71ms reaction

Win rate up 40pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 659ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 623ms

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).

Aim5.4
Utility5.6
Positioning6.6
Opening Duels4.7
Clutch3.4

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

m0NESY

Plays most like m0NESY 73% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning6.6
Utility5.6
Mechanics4.1
Opening Duels6.9
Win Impact9.4

Composite 6.0/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time598ms+17ms
first ⅓ avg 581ms → last ⅓ avg 598ms
Headshot accuracy17.3%−2.8%
first ⅓ avg 20.2% → last ⅓ avg 17.3%

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 · 8–8 · nuke, 23 Oct →
34%Best headshot accuracy · 13–8 · anubis, 15 Aug →
406msFastest reaction time · 13–7 · inferno, 13 Oct →
13–2Biggest win · dust2, 21 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–12In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 15mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeB2513–1252%-0.00
ancientA169–756%0.02
dust2D165–1131%-0.00
infernoS1510–567%-0.02
cacheS96–367%0.01
anubisA95–456%-0.01
mirageD82–625%-0.01
vertigo—20–20%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

270Matches
53%Win rate
1.03Avg K/D
90.3ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke4858%1.0316.1
Ancient4058%1.1318.1
Anubis3938%0.9015.3
Inferno3262%1.2118.1
Dust22658%1.1318.9
Mirage1631%0.8815.0
Vertigo1354%0.8414.9
Cache933%1.0417.8

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.

17.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
32.7%Spray accuracy
68.5%Counter-strafing
10.7°Preaim
589msReaction time
62.0%T opening success
53.5%CT opening success
0.66Enemies flashed / flash
8.4%Flash assists
12.29HE damage / grenade
4.18Flashes / match

Recommended for you

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0118%1 Nov →
nuke10–13-0.018%31 Oct →
inferno11–13-0.0815%30 Oct →
cache13–8-0.0424%30 Oct →
nuke13–10-0.0120%30 Oct →
inferno13–9-0.0024%30 Oct →
mirage9–13-0.0729%25 Oct →
nuke13–80.0123%25 Oct →
ancient13–11-0.0423%25 Oct →
cache13–90.0331%24 Oct →
nuke13–5-0.0412%23 Oct →
dust20–13-0.0713%23 Oct →
nuke8–80.1124%23 Oct →
vertigo4–9-0.0317%23 Oct →
inferno1–9-0.1020%23 Oct →
anubis6–130.0314%23 Oct →
nuke11–130.0114%19 Oct →
inferno13–7-0.039%19 Oct →
dust211–130.0024%14 Oct →
cache13–70.0321%14 Oct →
mirage13–90.0318%14 Oct →
inferno13–70.0317%13 Oct →
dust210–130.028%12 Oct →
inferno16–13-0.0220%12 Oct →
ancient13–70.0814%12 Oct →
nuke9–130.0215%12 Oct →
anubis13–11-0.0410%12 Oct →
mirage13–100.0317%12 Oct →
cache13–4-0.0310%12 Oct →
dust214–16-0.0521%12 Oct →
dust26–13-0.0712%11 Oct →
nuke13–100.0216%11 Oct →
nuke13–9-0.0112%11 Oct →
ancient3–13-0.0020%10 Oct →
ancient11–13-0.0218%10 Oct →
inferno13–90.0116%8 Oct →
ancient13–7-0.0429%8 Oct →
mirage5–13-0.0018%4 Oct →
cache9–130.0920%4 Oct →
inferno6–13-0.0617%3 Oct →
dust28–130.0214%3 Oct →
nuke13–60.0125%1 Oct →
mirage10–13-0.0116%1 Oct →
mirage11–130.0020%1 Oct →
cache13–50.0021%1 Oct →
inferno15–15-0.0221%28 Sept →
nuke10–13-0.0725%28 Sept →
dust27–130.0122%28 Sept →
mirage8–13-0.069%25 Sept →
nuke13–40.0412%25 Sept →
nuke13–11-0.0016%21 Sept →
dust213–20.0923%21 Sept →
nuke13–8-0.0512%21 Sept →
inferno13–5-0.0127%21 Sept →
nuke4–13-0.0316%21 Sept →
nuke13–80.0019%21 Sept →
cache11–130.0118%21 Sept →
dust23–13-0.0533%17 Sept →
nuke11–13-0.0126%17 Sept →
anubis13–60.0023%17 Sept →
anubis8–130.0320%8 Sept →
nuke10–13-0.0617%8 Sept →
dust24–13-0.096%8 Sept →
ancient10–130.0121%6 Sept →
anubis6–13-0.0518%2 Sept →
ancient16–130.009%2 Sept →
anubis13–9-0.0514%2 Sept →
dust211–130.0013%30 Aug →
ancient11–130.0512%30 Aug →
ancient13–100.016%30 Aug →
vertigo8–130.0619%30 Aug →
nuke6–13-0.0326%29 Aug →
cache13–10-0.0123%28 Aug →
inferno13–10-0.0013%28 Aug →
anubis6–13-0.037%27 Aug →
nuke13–9-0.0210%27 Aug →
dust213–60.0218%27 Aug →
nuke13–60.0421%26 Aug →
dust213–30.0614%26 Aug →
ancient13–60.0124%26 Aug →
nuke8–13-0.0329%25 Aug →
inferno11–13-0.0315%25 Aug →
dust213–70.0431%25 Aug →
dust213–70.0027%24 Aug →
ancient9–130.0318%16 Aug →
nuke13–160.0113%16 Aug →
anubis16–140.0126%16 Aug →
ancient13–80.0627%16 Aug →
inferno13–100.0025%16 Aug →
nuke6–13-0.0524%16 Aug →
cache14–16-0.0121%15 Aug →
nuke13–40.0417%15 Aug →
anubis13–80.0134%15 Aug →
ancient9–130.0415%15 Aug →
ancient8–130.0221%15 Aug →
ancient13–30.0824%15 Aug →
dust210–13-0.0124%15 Aug →
ancient13–10-0.0129%15 Aug →
mirage7–13-0.0314%14 Aug →
inferno16–12-0.0130%14 Aug →

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 →

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