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Capsize — CS2 Stats

76561197961916209[U:1:1650481]✓ No bans

363Tracked matches26%Win rate2026Tracked since
881Hours in CS6Hrs last 2 wks
CSDB Rating2.3 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning25
Utility42

0–100 skill scores via Leetify.

Recent form

COLD37–53–10Last 10037%Win rateLLLWLLLTLT

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim1.9
Aggression0.0
Utility4.2
Positioning2.5
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 60% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 729ms 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

Aim1.9
Positioning2.5
Utility4.2
Mechanics4.0
Opening Duels0.0
Win Impact0.0

Composite 2.3/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time735ms+16ms
first ⅓ avg 719ms → last ⅓ avg 735ms
Headshot accuracy9.4%+0.1%
first ⅓ avg 9.3% → last ⅓ avg 9.4%

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

0.07Best rating — train 13–2
13–2Biggest win — dust2
4Longest win streak
L3Current streak
6–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 55% over 11infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2D196–1332%-0.03
cacheC176–1135%-0.04
infernoD154–1127%-0.04
mirageC145–936%-0.05
nukeA116–555%-0.04
anubisB115–645%-0.05
ancientC94–544%-0.05
train—21–150%0.04
boulder—10–10%-0.09
fachwerk—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,714Lifetime kills
0.81K/D
1,008Matches
43.6%Match win rate
29.0%Headshot %
3.5%Shot accuracy
798MVPs
312Hours (in match)
716Bombs planted
94Bombs defused

Most-used weapons

M4A4 / M4A1-S2,883
AK-472,484
MP7757
SG 553535
AUG489
Galil AR487
AWP405
P2000 / USP-S367
FAMAS297
Five-SeveN225

Lifetime map wins

1,312dust2
779inferno
765nuke
329train
172vertigo
113office
65italy
62militia

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.

9.2%Headshot accuracy
29.2%Accuracy (enemy spotted)
32.9%Spray accuracy
67.9%Counter-strafing
12.2°Preaim
729msReaction time
17.2%T opening success
19.5%CT opening success
0.47Enemies flashed / flash
8.1%Flash assists
8.65HE damage / grenade
5.43Flashes / 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 12.2106° — 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 9.1509% — 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 728.7743ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Inferno

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder1–13-0.0910%25 Aug →
nuke1–13-0.0311%25 Aug →
dust22–13-0.036%25 Aug →
ancient13–5-0.0617%23 Aug →
inferno4–13-0.0411%23 Aug →
nuke0–13-0.050%23 Aug →
dust23–13-0.073%23 Aug →
cache12–12-0.0518%16 Aug →
dust211–13-0.013%16 Aug →
cache12–12-0.079%4 Aug →
inferno11–13-0.0214%4 Aug →
anubis9–13-0.0914%4 Aug →
dust23–13-0.0614%4 Aug →
inferno4–13-0.0315%4 Aug →
nuke9–130.0112%4 Aug →
inferno13–60.039%4 Aug →
cache13–8-0.047%3 Aug →
anubis1–13-0.0911%2 Aug →
mirage10–130.008%2 Aug →
mirage11–13-0.0614%2 Aug →
inferno12–12-0.026%2 Aug →
dust25–13-0.083%2 Aug →
mirage3–13-0.148%29 Jul →
ancient13–8-0.039%29 Jul →
inferno3–13-0.0912%29 Jul →
dust29–13-0.075%29 Jul →
cache6–13-0.061%28 Jul →
cache13–7-0.010%28 Jul →
nuke13–11-0.0310%28 Jul →
dust213–20.0012%28 Jul →
inferno13–3-0.0312%28 Jul →
ancient7–13-0.0110%25 Jul →
anubis0–13-0.0816%25 Jul →
fachwerk11–13-0.113%25 Jul →
nuke13–8-0.047%25 Jul →
inferno4–13-0.0716%25 Jul →
mirage13–70.025%25 Jul →
dust28–13-0.0814%25 Jul →
ancient13–4-0.000%25 Jul →
cache11–13-0.044%24 Jul →
dust27–13-0.025%24 Jul →
inferno9–130.049%24 Jul →
anubis13–4-0.039%24 Jul →
mirage13–2-0.036%24 Jul →
train13–20.0714%24 Jul →
cache13–6-0.0211%24 Jul →
anubis12–12-0.127%23 Jul →
cache13–6-0.0314%23 Jul →
mirage1–13-0.1025%23 Jul →
ancient13–10-0.064%23 Jul →
dust29–13-0.0315%23 Jul →
nuke3–13-0.120%23 Jul →
dust213–11-0.0113%23 Jul →
mirage13–8-0.087%23 Jul →
dust213–20.046%23 Jul →
ancient2–13-0.125%23 Jul →
anubis5–13-0.0215%22 Jul →
mirage4–13-0.029%22 Jul →
cache7–13-0.057%22 Jul →
inferno13–9-0.086%22 Jul →
anubis0–3-0.080%22 Jul →
inferno11–13-0.049%21 Jul →
anubis13–60.014%21 Jul →
dust28–13-0.0016%21 Jul →
nuke13–8-0.0115%21 Jul →
mirage13–6-0.060%21 Jul →
cache12–12-0.057%21 Jul →
dust26–130.028%20 Jul →
inferno10–13-0.078%19 Jul →
cache13–6-0.0315%19 Jul →
anubis13–50.038%19 Jul →
mirage12–12-0.085%19 Jul →
dust22–13-0.140%19 Jul →
cache9–13-0.026%18 Jul →
dust213–8-0.0012%18 Jul →
ancient11–130.0111%18 Jul →
dust213–11-0.0113%18 Jul →
nuke13–3-0.0819%18 Jul →
anubis13–4-0.0110%18 Jul →
inferno13–11-0.0312%18 Jul →
cache1–13-0.0413%17 Jul →
train12–120.0111%17 Jul →
cache3–13-0.082%17 Jul →
anubis13–8-0.0510%17 Jul →
mirage13–7-0.0211%17 Jul →
ancient10–13-0.051%17 Jul →
inferno12–12-0.0212%17 Jul →
nuke13–8-0.028%17 Jul →
dust213–11-0.0112%17 Jul →
mirage4–13-0.075%17 Jul →
nuke13–10-0.039%15 Jul →
cache13–110.0615%15 Jul →
cache7–13-0.089%15 Jul →
inferno0–5-0.170%15 Jul →
cache7–13-0.025%14 Jul →
nuke12–120.0221%14 Jul →
mirage12–12-0.059%14 Jul →
mirage3–13-0.0611%14 Jul →
ancient8–13-0.156%14 Jul →
dust210–13-0.038%13 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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