cconceited — CS2 Stats

76561197971655279[U:1:11389551]

1,801Tracked matches50%Win rate2021Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim36
Positioning52
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY5446Last 10054%Win rateLLWLWLWWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim3.6
Aggression4.9
Utility6.2
Positioning5.2
Opening Duels1.0
Clutch3.4

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 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.6
Positioning5.2
Utility6.2
Mechanics4.0
Opening Duels1.5
Win Impact5.0

Composite 3.9/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time620ms−17ms
first ⅓ avg 637ms → last ⅓ avg 620ms
Headshot accuracy14.3%−1.4%
first ⅓ avg 15.8% → last ⅓ avg 14.3%

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.

Highlights

0.13Best rating — inferno 13–5
131Biggest win — mirage
9Longest win streak
L2Current streak
95In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 67% over 6ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%-0.01
infernoA23131057%-0.00
nukeB178947%-0.02
anubisA159660%-0.00
ancientD92722%-0.04
dust2S64267%0.01
cache43175%0.01
overpass330100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

700Matches
49%Win rate
1.08Avg K/D
83.7ADR
41%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage18952%1.0716.2
Inferno13053%1.2116.6
Dust210044%1.0816.4
Anubis9353%1.1016.5
Nuke8549%1.0516.8
Overpass3842%1.0116.3
Ancient3444%0.9216.7
Cache1520%0.9115.3

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.

15.0%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.3%Spray accuracy
68.0%Counter-strafing
12.4°Preaim
623msReaction time
26.3%T opening success
41.8%CT opening success
0.64Enemies flashed / flash
4.9%Flash assists
12.98HE damage / grenade
3.70Flashes / 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 12.4356° — 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 14.9791% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

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

    Flashes per match 3.7029 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–130.0918%13 Aug
nuke3–13-0.048%13 Aug
mirage13–1-0.0513%30 Jul
nuke7–130.0116%29 Jul
dust213–11-0.0213%27 Jul
anubis0–3-0.070%27 Jul
anubis16–140.0413%26 Jul
cache13–80.0115%24 Jul
mirage9–13-0.0113%24 Jul
cache13–90.0210%23 Jul
inferno11–13-0.0313%23 Jul
dust213–80.0111%19 Jul
anubis9–13-0.0216%19 Jul
nuke3–13-0.0315%19 Jul
cache13–30.038%13 Jul
mirage9–13-0.0321%12 Jul
anubis6–13-0.0711%5 Jul
mirage13–70.0711%4 Jul
inferno13–10-0.0318%29 Jun
inferno13–80.0813%28 Jun
mirage5–130.0120%26 Jun
ancient13–5-0.0411%22 Jun
inferno6–130.0023%21 Jun
overpass13–40.0014%15 Jun
mirage6–13-0.0516%10 Jun
nuke13–90.0213%7 Jun
inferno0–13-0.0710%7 Jun
nuke13–4-0.0131%6 Jun
ancient6–13-0.0822%5 Jun
inferno16–12-0.0220%5 Jun
mirage16–12-0.0113%2 Jun
inferno5–13-0.0614%2 Jun
inferno13–50.1313%1 Jun
nuke6–13-0.0624%30 May
anubis13–40.068%25 May
nuke12–16-0.0113%24 May
anubis13–11-0.0314%24 May
mirage16–140.0217%23 May
ancient10–13-0.0114%23 May
inferno10–13-0.1029%19 May
mirage13–9-0.0211%17 May
nuke13–7-0.0213%17 May
overpass13–80.0424%9 May
inferno13–16-0.0115%3 May
mirage16–140.0413%1 May
dust28–130.0112%30 Apr
cache7–13-0.0311%30 Apr
inferno13–80.0117%28 Apr
mirage13–90.0213%26 Apr
overpass13–70.0216%26 Apr
anubis13–80.0611%26 Apr
dust213–160.018%25 Apr
anubis9–13-0.077%25 Apr
ancient9–13-0.0817%23 Apr
anubis13–40.006%18 Apr
dust213–90.0516%16 Apr
nuke13–8-0.0027%10 Apr
mirage6–130.0122%6 Apr
inferno13–60.0246%5 Apr
mirage7–130.0018%3 Apr
mirage3–13-0.049%30 Mar
ancient5–13-0.0616%28 Mar
inferno13–80.0211%28 Mar
ancient13–30.0326%28 Mar
inferno6–13-0.0317%22 Mar
ancient10–13-0.0510%22 Mar
anubis13–90.0111%22 Mar
mirage13–10-0.0118%22 Mar
nuke13–40.0627%16 Mar
mirage19–17-0.0616%15 Mar
ancient8–13-0.1013%14 Mar
mirage5–13-0.068%8 Mar
inferno13–10-0.0127%8 Mar
anubis13–110.0211%8 Mar
inferno13–7-0.0115%5 Mar
nuke13–60.0817%3 Mar
inferno13–5-0.0510%28 Feb
mirage16–120.0818%24 Feb
nuke13–9-0.0225%24 Feb
inferno13–60.006%21 Feb
dust213–110.0013%18 Feb
inferno1–13-0.0421%18 Feb
mirage3–13-0.089%17 Feb
ancient10–13-0.0125%16 Feb
anubis17–190.0212%14 Feb
nuke13–10-0.0412%14 Feb
inferno11–130.0413%13 Feb
nuke7–13-0.0516%12 Feb
anubis13–8-0.0311%6 Feb
nuke14–16-0.025%6 Feb
mirage8–13-0.0417%5 Feb
inferno5–13-0.0233%4 Feb
nuke11–13-0.0813%3 Feb
mirage8–13-0.0117%3 Feb
anubis19–170.0017%2 Feb
mirage13–80.0713%2 Feb
inferno13–90.0312%1 Feb
mirage16–130.0017%1 Feb
inferno13–60.0410%1 Feb
nuke8–13-0.0324%1 Feb

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 →