nigu

nigu — CS2 Stats

FI76561197997934010[U:1:37668282]Steam profile ↗✓ No bans

1,211Tracked matches57%Win rate2020Tracked since
5,762Hours in CS5Hrs last 2 wks
CSDB Rating5.8 SolidSupport
CSDB Leaderboard#73274 of 226222 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 24 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,011 -2,194 24 Jun31 May · 18 days played
19,67024,045peak 24,04524 Jun31 May
24,045Peak Premier in tracked matches
1,815Highest Faceit ELO seen on CSDB
43Days played since 2025-06-24

Faceit ELO

  • At peak — 1,815
  • Next: Level 10 at 2,001 186 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

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CSDB.GGniguPEAK ELO1,815csdb.gg/stats

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Performance scores

Aim68
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY54433Last 10054%Win rateWLWWWLLWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.0pp headshot accuracy · −14ms 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

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 712ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 638ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 645ms

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: SupportUtility contribution stands above the rest of this profile (+1.2 against its own average).

Aim6.8
Utility5.9
Positioning5.9
Opening Duels4.6
Clutch2.4

Strong CT-side opener

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

iM

Plays most like iM 88% playstyle similarity

Most alike: utility contribution, 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim6.8
Positioning5.9
Utility5.9
Mechanics6.0
Opening Duels4.2
Win Impact7.2

Composite 5.8/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time634ms−29ms
first ⅓ avg 663ms → last ⅓ avg 634ms
Headshot accuracy23.2%+0.3%
first ⅓ avg 22.9% → last ⅓ avg 23.2%

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

0.15Best match rating · 13–8 · nuke, 27 Jun
38%Best headshot accuracy · 13–4 · dust2, 19 Oct
453msFastest reaction time · 4–13 · anubis, 28 Jun
13–1Biggest win · nuke, 17 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
117In matches decided by ≤2 rounds
8Overtime games

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%-0.00
nukeA1811761%0.02
dust2C146843%-0.00
infernoB136746%0.01
ancientA106460%0.01
anubisB63350%0.02
trainS64267%0.02
overpassA53260%0.02
cache43175%-0.01
palacio1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

177,766Lifetime kills
1.00K/D
7,282Matches
50.2%Match win rate · Top 25% of tracked players
51.2%Headshot % · Top 25% of tracked players
19.2%Shot accuracy · Top 5% of tracked players
20,292MVPs
4,168Hours (in match)
8,626Bombs planted
2,114Bombs defused

Most-used weapons

AK-4769,051
AWP14,631
P2507,347
Knife3,218
FAMAS3,204
Tec-92,686

Lifetime map wins

15,199nuke
14,883inferno
8,035dust2
7,364train
3,492cbble
2,371vertigo
361aztec
234office

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

Faceit stats

Combat

2,727Matches
51%Win rate
1.21Avg K/D
74.7ADR
48%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1662%1.1915.9
Anubis1553%1.2218.5
Mirage1471%1.2016.0
Ancient1421%1.0617.4
Vertigo1450%1.3822.9
Dust21145%1.0115.9
Overpass838%0.9620.4
Inferno650%0.9717.0

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.

23.4%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.6%Spray accuracy
77.1%Counter-strafing
10.0°Preaim
634msReaction time
22.3%T opening success
63.4%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
10.51HE damage / grenade
7.80Flashes / 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

    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 22.3201% — below the 40% mark we flag

Spend your practice time on Dust 2

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0314%14 Sept
nuke1–13-0.0529%14 Sept
mirage13–30.0437%14 Sept
cache13–100.0522%7 Sept
nuke13–11-0.0627%7 Sept
dust29–130.0130%2 Sept
mirage7–13-0.0915%23 Aug
nuke13–100.0517%23 Aug
dust211–13-0.0431%19 Aug
anubis13–9-0.0223%19 Aug
mirage13–20.0027%17 Aug
mirage14–16-0.0322%17 Aug
cache7–13-0.0324%17 Aug
nuke13–10.0926%17 Aug
mirage10–13-0.0518%31 May
nuke13–110.0123%31 May
ancient13–80.0624%31 May
cache7–2-0.0321%30 May
mirage13–110.0422%29 May
ancient5–13-0.0119%29 May
dust23–13-0.0430%29 May
inferno13–60.0528%4 Apr
dust29–13-0.0324%4 Apr
inferno13–16-0.0315%3 Apr
mirage13–5-0.0212%3 Apr
dust213–70.0535%3 Apr
ancient9–13-0.0326%3 Apr
mirage13–90.0626%2 Apr
nuke13–50.0326%2 Apr
inferno6–130.0119%2 Apr
mirage12–160.0316%2 Apr
inferno5–13-0.0715%11 Mar
inferno13–30.0126%11 Mar
dust26–13-0.0426%11 Mar
mirage13–6-0.0025%1 Mar
nuke13–80.0723%1 Mar
nuke5–13-0.0333%28 Feb
overpass2–13-0.0220%28 Feb
anubis13–40.0816%28 Feb
dust213–100.0324%3 Feb
inferno15–15-0.0225%3 Feb
nuke13–80.0119%2 Feb
mirage11–13-0.0520%2 Feb
train13–40.1036%10 Jan
mirage10–130.0622%10 Jan
nuke7–13-0.0120%10 Jan
mirage13–11-0.0329%28 Nov
mirage13–5-0.0125%26 Nov
mirage13–60.0221%19 Nov
dust213–3-0.0122%5 Nov
train13–110.0331%29 Oct
inferno6–13-0.0019%25 Oct
dust211–130.0114%25 Oct
mirage13–70.0326%25 Oct
dust26–13-0.0721%22 Oct
inferno13–100.0331%19 Oct
mirage13–10.0724%19 Oct
dust213–4-0.0238%19 Oct
train14–16-0.0123%18 Oct
inferno13–70.0119%18 Oct
mirage8–13-0.0020%17 Oct
nuke10–130.0220%4 Oct
overpass9–130.0119%4 Oct
palacio12–12-0.0529%2 Oct
nuke13–50.0118%30 Sept
train10–13-0.0124%30 Sept
nuke13–110.0228%11 Sept
overpass13–50.0425%11 Sept
overpass13–30.0022%6 Sept
ancient13–80.0234%6 Sept
dust216–12-0.0118%31 Aug
inferno6–13-0.0719%31 Aug
mirage13–4-0.0416%31 Aug
ancient8–130.0124%31 Aug
nuke14–160.0129%20 Aug
ancient13–100.0226%20 Aug
overpass13–90.0424%20 Aug
dust213–110.0721%20 Aug
mirage3–13-0.0330%16 Jul
ancient13–11-0.0628%16 Jul
mirage8–13-0.0423%10 Jul
inferno13–110.0423%10 Jul
nuke12–120.0314%2 Jul
inferno13–50.1333%2 Jul
dust27–130.0216%1 Jul
train13–80.0120%1 Jul
ancient14–16-0.0213%29 Jun
anubis10–130.0118%29 Jun
mirage9–130.0133%28 Jun
anubis4–130.0733%28 Jun
anubis9–13-0.0218%27 Jun
nuke13–80.1530%27 Jun
train13–110.0319%27 Jun
ancient13–100.0229%27 Jun
nuke13–110.0119%27 Jun
mirage8–130.0125%27 Jun
anubis13–100.0219%24 Jun
nuke8–130.0318%24 Jun
ancient13–70.0616%24 Jun
inferno6–13-0.0222%24 Jun

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 →