Mr1410

Mr1410 — CS2 Stats

76561198378028480[U:1:417762752]Steam profile ↗✓ No bans

326Tracked matches38%Win rate2021Tracked since
282Hours in CS
CSDB Rating3.7 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim34
Positioning48
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateWLWWLWLLWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −6.2pp headshot accuracy · −45ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 617ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 655ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 677ms

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

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim3.4
Utility2.8
Positioning4.8
Opening Duels3.0

Limited utility dependence

Style profile from tracked-match aggregates — 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 — 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

ZywOo

Plays most like ZywOo 76% 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 — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 669ms 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
Positioning4.8
Utility2.8
Mechanics6.3
Opening Duels2.3
Win Impact1.0

Composite 3.7/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time679ms−12ms
first ⅓ avg 691ms → last ⅓ avg 679ms
Headshot accuracy14.3%+4.4%
first ⅓ avg 9.9% → 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.

Personal bests

0.15Best match rating · 16–13 · mirage, 3 Aug →
39%Best headshot accuracy · 4–13 · ancient, 14 Jun →
461msFastest reaction time · 13–3 · mirage, 19 Jan →
13–2Biggest win · dust2, 12 Jun →

Across the last 100 tracked matches.

Highlights

2Longest win streak
4–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 67% over 6nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C4618–2839%-0.00
mirageC2912–1741%0.01
infernoS64–267%-0.02
nukeD62–433%-0.02
ancientC52–340%-0.04
anubis—33–0100%-0.00
train—20–20%-0.05
vertigo—20–20%-0.06
overpass—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,680Lifetime kills
0.94K/D
844Matches
44.1%Match win rate
33.7%Headshot %
14.1%Shot accuracy · Top 50% of tracked players
1,353MVPs
282Hours (in match)
784Bombs planted
158Bombs defused

Most-used weapons

Lifetime map wins

2,956dust2
604inferno
208lake
137train
129cbble
97nuke
45vertigo
9office

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.

13.6%Headshot accuracy
28.7%Accuracy (enemy spotted)
31.9%Spray accuracy
78.4%Counter-strafing
12.1°Preaim
669msReaction time
42.5%T opening success
35.9%CT opening success
0.68Enemies flashed / flash
2.6%Flash assists
9.74HE damage / grenade
4.86Flashes / 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 12.0764° — 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 13.5533% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0518%13 Sept →
dust29–13-0.0512%13 Sept →
inferno13–6-0.017%21 Aug →
mirage13–10-0.029%21 Aug →
dust28–13-0.0215%15 Aug →
mirage4–00.0911%15 Aug →
ancient4–13-0.106%15 Aug →
nuke6–13-0.0512%13 Jun →
dust213–20.0314%12 Jun →
mirage13–9-0.0113%30 Sept →
nuke6–13-0.0621%10 Aug →
train9–13-0.0614%9 Aug →
dust22–13-0.0513%4 Jul →
inferno16–13-0.104%4 Jul →
ancient4–13-0.0339%14 Jun →
mirage3–13-0.0117%14 Jun →
anubis13–11-0.0015%12 Jun →
dust28–130.0223%12 Jun →
mirage10–130.0020%11 Jun →
dust213–5-0.0315%9 Jun →
ancient13–5-0.0211%9 Jun →
dust210–130.0217%1 Jun →
mirage11–130.0511%11 May →
nuke5–10-0.095%2 May →
dust215–150.0112%27 Apr →
mirage13–90.066%27 Apr →
mirage10–13-0.0413%26 Apr →
dust23–13-0.0514%25 Apr →
dust26–13-0.0612%24 Apr →
nuke7–130.0213%23 Apr →
ancient7–130.0128%22 Apr →
nuke13–80.0521%18 Apr →
dust213–20.0315%12 Apr →
dust215–15-0.0018%10 Apr →
train6–13-0.0313%9 Apr →
mirage9–13-0.0612%15 Aug →
mirage16–130.1515%3 Aug →
mirage13–70.0320%30 Jul →
vertigo6–13-0.099%29 Jul →
ancient13–11-0.0820%28 Jul →
inferno13–160.0212%28 Jul →
dust213–70.0914%28 Jul →
mirage6–13-0.1220%18 Jul →
mirage7–13-0.0710%17 Jul →
anubis13–60.027%16 Jul →
vertigo15–15-0.0216%14 Jul →
mirage3–80.0014%14 Jul →
dust213–80.0811%14 Jul →
dust27–13-0.0111%11 Jul →
dust25–13-0.0028%16 Feb →
dust21–110.0135%9 Feb →
dust210–130.0613%27 Jan →
mirage15–150.0314%21 Jan →
dust213–80.0218%21 Jan →
dust213–10-0.0321%21 Jan →
inferno4–13-0.1110%21 Jan →
dust213–2-0.0231%21 Jan →
mirage1–13-0.1123%20 Jan →
mirage13–30.1014%19 Jan →
dust212–12-0.048%19 Jan →
anubis13–2-0.042%15 Jan →
mirage13–6-0.069%15 Jan →
mirage7–13-0.0118%13 Jan →
inferno13–60.0314%13 Jan →
dust25–13-0.0314%24 Dec →
dust213–50.0110%24 Dec →
dust212–120.009%20 Dec →
dust29–2-0.010%20 Dec →
dust213–8-0.0414%20 Dec →
dust212–12-0.0515%19 Dec →
dust213–100.0911%18 Dec →
dust210–130.059%18 Dec →
mirage7–13-0.0116%18 Dec →
mirage13–110.075%15 Dec →
dust213–110.0910%15 Dec →
dust26–13-0.0915%13 Dec →
dust213–60.0815%13 Dec →
mirage12–12-0.017%12 Dec →
dust211–130.017%12 Dec →
dust213–5-0.027%11 Dec →
dust213–20.035%9 Dec →
dust210–130.0112%9 Dec →
dust210–130.0222%8 Dec →
dust23–13-0.090%8 Dec →
mirage9–13-0.014%7 Dec →
dust211–130.0317%5 Dec →
inferno13–100.037%20 Nov →
dust213–6-0.035%20 Nov →
mirage10–13-0.037%19 Nov →
dust212–120.0211%19 Nov →
dust24–13-0.0111%17 Nov →
mirage13–30.1014%17 Nov →
mirage6–13-0.0415%14 Nov →
dust213–8-0.0220%14 Nov →
dust28–13-0.0510%13 Nov →
mirage9–130.047%28 Sept →
mirage9–3-0.047%24 Sept →
dust23–9-0.044%23 Sept →
overpass2–13-0.0213%23 Sept →
nuke13–70.017%23 Sept →

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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