GiveawaySign In
โœช๐–˜1๐–’๐–•๐–‘๐–Šโœช

โœช๐–˜1๐–’๐–•๐–‘๐–Šโœช โ€” CS2 Stats

NZ76561199025854878[U:1:1065589150]Steam profile โ†—โœ“ No bans

644Tracked matches34%Win rate2020Tracked since
1,803Hours in CS3Hrs last 2 wks
CSDB Rating2.5 LearningPositional Player
CSDB Leaderboard#201624 of 251493 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 1,719 +215 3 Apr โ€“ 2 Jul ยท 26 days played
1,0001,965peak 1,9653 Apr2 Jul
2,103Peak Premier in tracked matches
44Days played since 2026-04-03

Premier comes from this profileโ€™s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,231), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate43.1%41.8%42.7%meets
Shot accuracy13.4%12.2%11.3%above
Kill/death ratio1.090.980.99above
Match win rate46.3%43.3%43.9%above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches โ€” this is a performance comparison, not a prediction.

Share this profile

CSDB.GGโœช๐–˜1๐–’๐–•๐–‘๐–ŠโœชFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim22
Positioning41
Utility22

0โ€“100 skill scores via Leetify.

Recent form

STEADY35โ€“57โ€“8Last 10035%Win rateWWLLLWLWWL

Last 10 vs previous 10: +20pp win rate ยท โˆ’0.00 avg rating ยท โˆ’2.1pp headshot accuracy ยท โˆ’64ms reaction

Win rate up 20pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp). Average match rating moved the other way (โˆ’0.00), so results shifted more than performance did.

Last 5 ยท 10 ยท 20 matches

Last 5

  • 2โ€“3 ยท 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 663ms

Last 10

  • 5โ€“5 ยท 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 638ms

Last 20

  • 8โ€“12 ยท 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 670ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player โ€” Positioning stands above the rest of this profile (+2 against its own average).

Aim2.2
Utility2.2
Positioning4.1
Opening Duels0.0

Limited utility dependence

Style profile from tracked-match aggregates โ€” 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 โ€” 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

NiKo

Plays most like NiKo 69% 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 โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

Reaction time. 742ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped โ€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers โ€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim2.2
Positioning4.1
Utility2.2
Mechanics4.0
Opening Duels0.5
Win Impact0.0

Composite 2.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.00
first โ…“ avg -0.03 โ†’ last โ…“ avg -0.03
Reaction time751msโˆ’35ms
first โ…“ avg 786ms โ†’ last โ…“ avg 751ms
Headshot accuracy16.5%โˆ’3.9%
first โ…“ avg 20.4% โ†’ last โ…“ avg 16.5%

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 ยท 13โ€“10 ยท cache, 6 May โ†’
51%Best headshot accuracy ยท 12โ€“12 ยท dust2, 2 May โ†’
484msFastest reaction time ยท 6โ€“13 ยท mirage, 13 Oct โ†’
13โ€“3Biggest win ยท dust2, 23 May โ†’

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
3โ€“5In matches decided by โ‰ค2 rounds
10Overtime games

Map breakdown

cacheBest map ยท 63% over 8ancientWeakest map ยท 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D307โ€“2323%-0.02
mirageB2210โ€“1245%-0.02
nukeC156โ€“940%-0.01
infernoC125โ€“742%-0.01
cacheA85โ€“363%-0.02
ancientD61โ€“517%-0.02
anubisD51โ€“420%-0.05
overpassโ€”20โ€“20%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,687Lifetime kills
1.09K/D ยท Top 50% of Level 3 players
2,462Matches
46.3%Match win rate ยท Top 50% of Level 3 players
43.1%Headshot % ยท Top 50% of Level 3 players
13.4%Shot accuracy ยท Top 50% of Level 3 players
5,428MVPs
940Hours (in match)
1,795Bombs planted
906Bombs defused

Most-used weapons

AK-4711,331
M4A4 / M4A1-S6,632
AWP3,553
Desert Eagle3,131
P2000 / USP-S2,180
Glock-181,455
FAMAS1,426
SG 5531,024
AUG1,000
MP9919

Lifetime map wins

3,454dust2
2,842office
2,770inferno
1,994nuke
728vertigo
698italy
522train
386militia

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

Skill profile

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

15.9%Headshot accuracy
27.9%Accuracy (enemy spotted)
28.9%Spray accuracy
67.9%Counter-strafing
11.8ยฐPreaim
742msReaction time
33.0%T opening success
30.6%CT opening success
0.26Enemies flashed / flash
4.4%Flash assists
4.59HE damage / grenade
2.26Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Settings

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

    Reaction time 741.6367ms โ€” above the 700ms mark we flag

    Aim Training โ†’
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2644 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
  3. 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 33.0386% โ€” below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games โ€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy โ†’Ancient grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
cache13โ€“8-0.079%14 Oct โ†’
cache13โ€“5-0.0114%13 Oct โ†’
mirage6โ€“13-0.0614%13 Oct โ†’
dust210โ€“130.0717%12 Oct โ†’
inferno6โ€“13-0.099%28 Sept โ†’
cache13โ€“110.0216%28 Sept โ†’
nuke9โ€“13-0.1012%20 Sept โ†’
inferno13โ€“90.0215%20 Sept โ†’
cache13โ€“7-0.098%20 Sept โ†’
cache8โ€“13-0.0236%17 Sept โ†’
dust29โ€“130.0214%17 Sept โ†’
dust210โ€“13-0.069%14 Sept โ†’
dust24โ€“13-0.0429%14 Sept โ†’
anubis16โ€“14-0.0519%14 Sept โ†’
nuke9โ€“130.009%13 Sept โ†’
mirage4โ€“13-0.0524%13 Sept โ†’
anubis9โ€“13-0.0414%14 Jul โ†’
nuke13โ€“90.0319%11 Jul โ†’
dust213โ€“90.0121%11 Jul โ†’
cache2โ€“13-0.0913%7 Jul โ†’
mirage7โ€“13-0.0519%7 Jul โ†’
inferno13โ€“80.0913%2 Jul โ†’
mirage6โ€“13-0.0119%25 Jun โ†’
dust215โ€“15-0.0215%12 Jun โ†’
ancient9โ€“13-0.0314%6 Jun โ†’
inferno4โ€“13-0.0824%6 Jun โ†’
mirage3โ€“13-0.0411%6 Jun โ†’
mirage13โ€“90.0019%5 Jun โ†’
ancient7โ€“13-0.088%5 Jun โ†’
nuke3โ€“13-0.0421%1 Jun โ†’
mirage3โ€“13-0.0717%29 May โ†’
nuke13โ€“10-0.0118%28 May โ†’
mirage13โ€“5-0.0128%28 May โ†’
ancient9โ€“130.0921%28 May โ†’
nuke11โ€“13-0.0513%24 May โ†’
dust24โ€“13-0.1015%24 May โ†’
anubis7โ€“13-0.0910%24 May โ†’
dust28โ€“130.0420%23 May โ†’
mirage13โ€“100.0520%23 May โ†’
nuke13โ€“40.0116%23 May โ†’
dust213โ€“30.0920%23 May โ†’
dust213โ€“4-0.0022%23 May โ†’
inferno3โ€“130.0418%23 May โ†’
dust25โ€“13-0.1113%22 May โ†’
nuke13โ€“70.0923%22 May โ†’
mirage13โ€“7-0.0224%22 May โ†’
inferno15โ€“150.0022%21 May โ†’
dust29โ€“13-0.0233%16 May โ†’
mirage11โ€“13-0.0117%16 May โ†’
nuke15โ€“150.0621%14 May โ†’
mirage13โ€“5-0.0018%14 May โ†’
mirage13โ€“60.0429%14 May โ†’
inferno8โ€“13-0.0318%10 May โ†’
nuke7โ€“13-0.0523%9 May โ†’
mirage13โ€“5-0.0324%9 May โ†’
dust212โ€“12-0.0534%9 May โ†’
dust213โ€“60.0138%9 May โ†’
mirage7โ€“13-0.0513%8 May โ†’
nuke13โ€“30.0422%8 May โ†’
dust210โ€“13-0.0811%8 May โ†’
mirage13โ€“50.0230%7 May โ†’
dust27โ€“130.0522%7 May โ†’
anubis10โ€“130.0217%6 May โ†’
cache13โ€“100.1114%6 May โ†’
dust213โ€“70.0824%6 May โ†’
mirage9โ€“13-0.0134%4 May โ†’
inferno5โ€“13-0.0420%3 May โ†’
dust26โ€“13-0.0518%3 May โ†’
cache3โ€“13-0.038%2 May โ†’
dust212โ€“120.0251%2 May โ†’
dust212โ€“12-0.0413%2 May โ†’
ancient13โ€“16-0.0521%2 May โ†’
mirage13โ€“11-0.0428%27 Apr โ†’
dust25โ€“13-0.120%25 Apr โ†’
dust29โ€“130.0427%25 Apr โ†’
dust20โ€“13-0.0519%25 Apr โ†’
nuke6โ€“13-0.0629%24 Apr โ†’
nuke16โ€“130.0015%24 Apr โ†’
mirage13โ€“16-0.0614%22 Apr โ†’
dust213โ€“4-0.0518%22 Apr โ†’
nuke9โ€“13-0.1018%18 Apr โ†’
mirage13โ€“90.0322%18 Apr โ†’
ancient13โ€“7-0.0016%18 Apr โ†’
dust28โ€“13-0.0427%18 Apr โ†’
dust212โ€“12-0.0413%14 Apr โ†’
nuke9โ€“13-0.0221%14 Apr โ†’
overpass6โ€“13-0.0427%12 Apr โ†’
inferno14โ€“16-0.0326%12 Apr โ†’
ancient15โ€“15-0.0233%12 Apr โ†’
mirage7โ€“13-0.0515%6 Apr โ†’
overpass9โ€“13-0.0212%6 Apr โ†’
inferno16โ€“12-0.0513%6 Apr โ†’
dust28โ€“130.0024%6 Apr โ†’
inferno13โ€“80.0020%5 Apr โ†’
dust211โ€“13-0.1026%5 Apr โ†’
dust29โ€“13-0.0723%5 Apr โ†’
anubis3โ€“5-0.076%4 Apr โ†’
inferno12โ€“40.0130%3 Apr โ†’
dust213โ€“90.0222%3 Apr โ†’
mirage5โ€“13-0.0318%3 Apr โ†’

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.

Explore CSDB.gg

Related

Sensitivity ConverterConvert sensitivity between CS2 and other gameseDPI CalculatorCalculate your effective DPIcm/360 CalculatorMouse distance per full turnResolution CalculatorCompare aspect ratios and resolutionsCrosshair GeneratorBuild and preview custom crosshairs

Tools

CS2 Skin WordleName the skin from an extreme close-upModel AccuracyPrediction model accuracy statsTeam Head-to-HeadCompare pro team stats

Learn & Explore

CS2 vs Rainbow Six SiegeDestructibility and operators vs pure utilityCS2 Player Roles ExplainedEntry, support, AWPer, lurker, IGLCS2 Fixes & TroubleshootingStep-by-step fixes for every common CS2 problem