Nibba

Nibba — CS2 Stats

US76561198388004123[U:1:427738395]Steam profile ↗✓ No bans

717Tracked matches45%Win rate2024Tracked since
554Hours in CS3Hrs last 2 wks
CSDB Rating1.5 Learning
Premier CS Rating2,572Grey band · top ~89.1% of ranked players (population est.)
CSDB Leaderboard#18602 of 23831 tracked
WingmanSilver III
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianvs Light Blue band
Headshot rate34.4%40.1%5.7% short
Shot accuracy0.1%7.6%7.5% short
Kill/death ratio0.690.920.23 short
Match win rate39.9%42.2%2.3% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGNibbaPREMIER2,572 · Grey bandcsdb.gg/stats

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Performance scores

Aim9
Positioning21
Utility25

0–100 skill scores via Leetify.

Recent form

COLD405010Last 10040%Win rateLWLLLLLWTL

Last 10 vs previous 10: -40pp win rate · +0.03 avg rating

Player DNA

Aim0.9
Aggression1.2
Utility2.5
Positioning2.1
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 56% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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. 733ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim0.9
Positioning2.1
Utility2.5
Mechanics1.9
Opening Duels0.0
Win Impact3.3

Composite 1.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time728ms+34ms
first ⅓ avg 694ms → last ⅓ avg 728ms
Headshot accuracy8.8%−5.1%
first ⅓ avg 13.9% → last ⅓ avg 8.8%

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.

Highlights

0.19Best rating — sanctum 9–5
132Biggest win — warden
4Longest win streak
44In matches decided by ≤2 rounds

Map breakdown

wardenBest map · 67% over 6trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA149564%-0.04
dust2B105550%-0.04
infernoD103730%-0.06
cacheC94544%-0.05
mirageC73443%-0.01
vertigoD72529%-0.03
anubisD61517%-0.07
wardenS64267%-0.00
overpassD62433%-0.07
ancientC52340%-0.03
trainD5050%-0.04
poseidon41325%-0.00
alpine31233%-0.03
sanctum31233%0.05
shelter21150%-0.03
office21150%0.02
italy1010%-0.09

Across the last 100 tracked matches.

Lifetime stats

8,783Lifetime kills
0.69K/D
863Matches
39.9%Match win rate
34.4%Headshot %
0.1%Shot accuracy
1,078MVPs
294Hours (in match)
340Bombs planted
116Bombs defused

Most-used weapons

Lifetime map wins

1,189dust2
894nuke
834inferno
531train
493vertigo
319office
79italy
5ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.1%Headshot accuracy
27.9%Accuracy (enemy spotted)
31.0%Spray accuracy
58.5%Counter-strafing
14.2°Preaim
733msReaction time
18.9%T opening success
23.0%CT opening success
0.29Enemies flashed / flash
0.5%Flash assists
10.35HE damage / grenade
2.97Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.2186° — above the 12° mark we flag

    Aim Training
  2. 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 9.0507% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 733.3022ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.019%19 Aug
dust213–7-0.069%19 Aug
dust210–130.0214%17 Aug
mirage8–13-0.029%17 Aug
vertigo5–13-0.067%17 Aug
shelter10–13-0.027%16 Jul
mirage11–13-0.027%10 Jul
shelter13–5-0.0413%10 Jul
dust212–12-0.0713%3 Jun
nuke2–13-0.0322%30 May
cache5–10-0.048%29 May
inferno4–13-0.119%29 May
dust213–10-0.099%28 May
anubis0–13-0.109%27 May
cache3–00.000%27 May
cache4–13-0.129%27 May
nuke5–12-0.0610%25 May
warden13–8-0.097%25 May
cache13–6-0.068%21 May
warden6–00.025%21 May
dust29–13-0.0512%21 May
ancient7–13-0.035%19 May
office6–130.016%19 May
overpass1–13-0.127%12 May
vertigo13–6-0.016%12 May
cache5–13-0.165%11 May
mirage13–100.0714%8 May
cache13–9-0.0211%8 May
mirage13–11-0.049%6 May
cache11–4-0.082%6 May
vertigo6–13-0.098%6 May
ancient11–10-0.0614%6 May
nuke13–10-0.039%30 Apr
overpass6–13-0.109%30 Apr
cache7–13-0.1028%29 Apr
cache12–120.107%29 Apr
inferno7–13-0.096%27 Apr
inferno12–120.0616%27 Apr
dust213–7-0.0514%27 Apr
warden4–130.0613%26 Apr
italy6–13-0.0913%26 Apr
dust213–100.0011%25 Apr
nuke13–8-0.0014%24 Apr
anubis9–13-0.049%24 Apr
nuke13–7-0.0218%23 Apr
train1–130.019%21 Apr
alpine6–13-0.0214%16 Apr
mirage11–13-0.056%15 Apr
inferno13–6-0.006%14 Apr
dust26–13-0.103%12 Apr
vertigo3–13-0.088%12 Apr
ancient6–13-0.046%12 Apr
mirage13–4-0.0210%8 Apr
anubis3–13-0.087%8 Apr
anubis13–3-0.022%8 Apr
train12–12-0.017%7 Apr
inferno13–80.0215%6 Apr
inferno5–13-0.0710%6 Apr
train9–13-0.073%6 Apr
inferno8–13-0.0612%5 Apr
office13–40.048%5 Apr
anubis12–12-0.092%4 Apr
alpine8–13-0.0511%4 Apr
anubis9–13-0.0713%3 Apr
inferno7–9-0.085%31 Mar
nuke5–9-0.175%22 Mar
nuke13–30.004%19 Mar
dust213–11-0.0413%10 Mar
ancient13–70.0214%10 Mar
dust28–130.0318%10 Mar
inferno13–9-0.068%8 Mar
warden13–20.092%8 Mar
nuke13–8-0.053%8 Mar
warden7–13-0.098%8 Mar
warden13–9-0.016%8 Mar
nuke6–13-0.093%8 Mar
ancient7–13-0.029%8 Mar
train10–13-0.0615%8 Mar
inferno5–9-0.200%8 Mar
train8–13-0.069%3 Mar
alpine13–10-0.039%3 Mar
nuke13–6-0.0115%26 Feb
sanctum9–50.1917%26 Feb
overpass9–6-0.099%26 Feb
sanctum8–8-0.048%26 Feb
sanctum6–90.0015%26 Feb
overpass8–8-0.087%25 Feb
overpass6–9-0.0420%25 Feb
poseidon9–40.0919%25 Feb
poseidon8–8-0.1224%25 Feb
poseidon8–80.0319%25 Feb
vertigo9–20.1718%25 Feb
vertigo7–90.0010%25 Feb
nuke9–50.0930%25 Feb
nuke4–9-0.1013%25 Feb
poseidon8–8-0.01100%25 Feb
vertigo1–5-0.160%25 Feb
nuke7–13-0.035%24 Feb
overpass13–11-0.027%24 Feb
nuke13–7-0.019%24 Feb

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 →