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CallMeCis — CS2 Stats

76561198310738032[U:1:350472304]✓ No bans

96Tracked matches63%Win rate2025Tracked since
119Hours in CS0Hrs last 2 wks
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim34
Positioning34
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY49–35–12Last 9651%Win rateWTWLWWTWTL

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim3.4
Aggression0.8
Utility3.2
Positioning3.4
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 65% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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. 643ms 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

Aim3.4
Positioning3.4
Utility3.2
Mechanics5.2
Opening Duels0.0
Win Impact9.3

Composite 3.9/10 (Learning), 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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time640ms−74ms
first ⅓ avg 714ms → last ⅓ avg 640ms
Headshot accuracy16.8%+2.9%
first ⅓ avg 13.9% → last ⅓ avg 16.8%

Rolling 5-match average across the last 96 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.14Best rating — inferno 9–5
13–2Biggest win — inferno
8Longest win streak
5–6In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
infernoB2813–1546%-0.03
dust2C2510–1540%-0.03
mirageB126–650%-0.02
nukeA85–363%0.01
cacheS75–271%-0.00
trainA74–357%-0.03
ancientS54–180%-0.02
anubis—31–233%-0.04
office—11–0100%-0.01

Across the last 96 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,346Lifetime kills
0.71K/D
224Matches
45.1%Match win rate
45.1%Headshot % · Top 50% of tracked players
3.9%Shot accuracy
326MVPs
65Hours (in match)
108Bombs planted
34Bombs defused

Most-used weapons

AK-47647
M4A4 / M4A1-S461
AWP238
P2000 / USP-S157
Glock-18119
Nova71
Desert Eagle62
MAG-759
MP955
XM101454

Lifetime map wins

511inferno
450dust2
143nuke
84train
20vertigo
17office

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.

16.6%Headshot accuracy
29.5%Accuracy (enemy spotted)
26.7%Spray accuracy
73.2%Counter-strafing
12.1°Preaim
643msReaction time
21.8%T opening success
17.7%CT opening success
0.45Enemies flashed / flash
4.8%Flash assists
12.22HE damage / grenade
3.47Flashes / 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 12.07° — above the 12° mark we flag

    Aim Training →
  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 0.4535 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0413%15 Aug →
inferno12–12-0.0323%15 Aug →
inferno13–30.0717%14 Aug →
dust24–13-0.0411%13 Aug →
dust213–90.0015%13 Aug →
mirage13–9-0.017%12 Aug →
mirage12–12-0.0318%11 Aug →
mirage13–3-0.0115%11 Aug →
dust212–12-0.0012%11 Aug →
dust25–13-0.038%11 Aug →
mirage13–90.008%11 Aug →
mirage7–13-0.0726%10 Aug →
dust29–13-0.0018%6 Aug →
anubis4–13-0.0930%6 Aug →
cache11–40.0340%6 Aug →
ancient13–9-0.0319%6 Aug →
ancient11–130.0214%6 Aug →
ancient13–11-0.0315%29 Jul →
cache13–60.0016%29 Jul →
cache13–8-0.017%26 Jul →
mirage13–70.0417%26 Jul →
inferno13–7-0.0411%25 Jul →
dust213–8-0.0213%25 Jul →
cache13–70.0419%19 Jul →
inferno13–7-0.0421%17 Jul →
dust25–13-0.0426%16 Jul →
inferno7–13-0.0118%16 Jul →
cache13–70.0014%16 Jul →
inferno11–13-0.0024%16 Jul →
cache5–13-0.0610%14 Jul →
mirage6–13-0.0711%22 Jun →
nuke13–90.0319%22 Jun →
ancient13–90.0113%19 Jun →
dust24–13-0.1013%19 Jun →
inferno2–13-0.084%19 Jun →
inferno4–9-0.1223%19 Jun →
nuke13–80.0315%19 Jun →
dust212–12-0.0435%19 Jun →
cache12–12-0.0117%17 Jun →
dust29–8-0.0718%17 Jun →
inferno6–9-0.0128%16 Apr →
mirage13–5-0.0517%9 Apr →
ancient13–7-0.0721%7 Jan →
train13–100.029%14 Jun →
anubis12–12-0.0710%13 Jun →
train13–4-0.0315%13 Jun →
inferno8–8-0.096%25 May →
inferno9–40.087%25 May →
inferno9–50.148%25 May →
inferno13–6-0.0313%21 May →
train10–13-0.0515%21 May →
inferno13–70.0214%21 May →
inferno6–9-0.0613%21 May →
inferno4–9-0.186%18 May →
nuke13–80.0610%13 May →
mirage10–13-0.0519%5 May →
nuke12–12-0.0417%4 May →
dust25–13-0.0417%4 May →
nuke9–13-0.038%2 May →
dust213–80.0013%2 May →
train2–13-0.0835%2 May →
dust213–90.047%1 May →
dust25–00.0711%1 May →
dust213–3-0.008%1 May →
inferno13–20.078%1 May →
inferno6–9-0.1514%1 May →
train13–40.0819%1 May →
inferno3–9-0.138%27 Apr →
dust24–13-0.0814%27 Apr →
nuke5–13-0.0111%27 Apr →
dust212–12-0.0313%27 Apr →
nuke6–10.0713%27 Apr →
anubis13–60.0410%27 Apr →
office13–7-0.0110%27 Apr →
train0–13-0.090%27 Apr →
nuke13–8-0.0210%27 Apr →
inferno13–3-0.026%27 Apr →
dust27–13-0.0721%27 Apr →
inferno11–130.028%4 Apr →
dust27–13-0.0525%4 Apr →
mirage13–11-0.0212%4 Apr →
inferno12–12-0.0816%31 Mar →
mirage11–130.0214%19 Mar →
inferno11–13-0.0415%19 Mar →
dust212–120.0513%19 Mar →
inferno13–9-0.047%18 Mar →
dust210–13-0.0710%18 Mar →
inferno7–9-0.117%18 Mar →
inferno9–7-0.0618%18 Mar →
dust212–12-0.1015%17 Mar →
dust213–11-0.0521%17 Mar →
dust213–40.0318%17 Mar →
mirage1–13-0.006%17 Mar →
dust213–2-0.0238%17 Mar →
train13–10-0.0514%15 Mar →
inferno9–10.1031%23 Jan →

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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