MrChaiinSaw

MrChaiinSaw — CS2 Stats

76561198368201636[U:1:407935908]Steam profile ↗✓ No bans

955Tracked matches53%Win rate2020Tracked since
1,142Hours in CS
CSDB Rating6.3 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (58 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 955
+3.3ppWin rate · 50.0% → 53.3%

Rating over time

Premier CS Rating: 19,118 -821 25 Oct – 15 Jun · 9 days played
18,56121,121peak 21,12125 Oct15 Jun
21,182Peak Premier in tracked matches
1,906Highest Faceit ELO seen on CSDB
48Days played since 2024-10-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

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CSDB.GGMrChaiinSawPEAK ELO1,906csdb.gg/stats

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

Performance scores

Aim71
Positioning60
Utility56

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLWLWLWLLLL

Last 10 vs previous 10: −30pp win rate · +0.04 avg rating · −0.2pp headshot accuracy · −37ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 567ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 625ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 643ms

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 (+1.6 against its own average).

Aim7.1
Utility5.6
Positioning6.0
Opening Duels5.1
Clutch1.0

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

m0NESY

Plays most like m0NESY 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Aim7.1
Positioning6.0
Utility5.6
Mechanics7.1
Opening Duels4.2
Win Impact6.1

Composite 6.3/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time656ms−27ms
first ⅓ avg 683ms → last ⅓ avg 656ms
Headshot accuracy23.6%−3.7%
first ⅓ avg 27.2% → last ⅓ avg 23.6%

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

0.18Best match rating · 13–4 · cache, 20 Aug →
71%Best headshot accuracy · 1–4 · dust2, 3 Jun →
469msFastest reaction time · 14–16 · inferno, 3 Oct →
13–3Biggest win · cache, 11 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 50% over 24anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC3314–1942%0.01
dust2B2412–1250%0.00
infernoC135–838%-0.02
anubisD92–722%-0.02
ancientD62–433%0.00
mirageC52–340%-0.01
overpass—42–250%-0.03
train—32–167%0.05
eldorado—10–10%0.07
office—11–0100%-0.02
sanctum—10–10%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

72,181Lifetime kills
1.34K/D · Top 10% of tracked players
2,789Matches
48.2%Match win rate · Top 50% of tracked players
50.4%Headshot % · Top 25% of tracked players
15.3%Shot accuracy · Top 50% of tracked players
8,009MVPs
1,142Hours (in match)
1,670Bombs planted
722Bombs defused

Most-used weapons

AK-4720,006
AWP7,759
SSG 081,283
FAMAS1,106
P2501,090

Lifetime map wins

8,311inferno
7,216dust2
855nuke
714vertigo
684office
653train
574cbble
119italy

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

Faceit stats

Combat

372Matches
55%Win rate
1.10Avg K/D
82.4ADR
55%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis6552%1.1517.2
Inferno5555%1.0416.6
Ancient2442%1.0316.3
Vertigo1486%1.0417.2
Mirage978%1.0214.2
Overpass956%1.0615.0
Nuke40%1.0718.5
Dust21100%1.1826.0

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.

24.0%Headshot accuracy
32.9%Accuracy (enemy spotted)
33.2%Spray accuracy
82.0%Counter-strafing
9.0°Preaim
643msReaction time
45.4%T opening success
48.1%CT opening success
0.64Enemies flashed / flash
4.4%Flash assists
8.16HE damage / grenade
8.00Flashes / match

Recommended for you

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno14–16-0.0325%3 Oct →
dust216–14-0.0015%27 Sept →
dust26–130.0436%31 Aug →
cache13–40.1832%20 Aug →
cache10–130.0727%15 Aug →
dust213–100.1316%10 Aug →
cache11–13-0.0317%10 Aug →
mirage3–130.0722%10 Aug →
cache5–130.0133%2 Aug →
dust22–13-0.1015%2 Aug →
anubis10–13-0.0427%1 Aug →
ancient6–13-0.0622%31 Jul →
inferno13–40.0128%31 Jul →
cache13–10-0.0025%31 Jul →
mirage13–11-0.0420%31 Jul →
eldorado6–90.0728%26 Jul →
cache13–40.0430%26 Jul →
cache13–50.0318%22 Jul →
dust211–13-0.0224%12 Jul →
inferno13–8-0.0320%12 Jul →
mirage8–13-0.0121%12 Jul →
cache2–13-0.0519%12 Jul →
dust24–13-0.0713%11 Jul →
cache13–30.0528%11 Jul →
cache13–40.0224%1 Jul →
dust213–11-0.0135%23 Jun →
anubis10–13-0.0229%22 Jun →
ancient13–80.0429%22 Jun →
dust213–5-0.0119%22 Jun →
office13–9-0.0225%17 Jun →
train13–110.1131%17 Jun →
inferno5–130.0120%16 Jun →
cache2–80.068%16 Jun →
anubis16–130.0225%15 Jun →
overpass13–16-0.0026%15 Jun →
anubis13–90.0124%13 Jun →
anubis6–13-0.0316%13 Jun →
inferno13–60.0327%10 Jun →
ancient2–13-0.0530%10 Jun →
cache8–13-0.0913%10 Jun →
inferno3–13-0.0421%3 Jun →
cache11–13-0.0539%3 Jun →
dust213–60.0430%3 Jun →
dust21–4-0.0371%3 Jun →
cache13–6-0.0724%30 May →
inferno11–13-0.0514%30 May →
cache10–13-0.0016%27 May →
dust24–130.0533%25 May →
cache12–120.0621%25 May →
dust215–15-0.0323%22 May →
dust26–13-0.0631%22 May →
cache2–13-0.0823%22 May →
cache13–40.0326%18 May →
overpass13–11-0.0214%18 May →
anubis8–13-0.0439%15 May →
cache9–130.0626%15 May →
cache13–60.0019%15 May →
cache8–13-0.0132%14 May →
cache8–13-0.0426%14 May →
cache13–110.0234%14 May →
cache4–13-0.0214%10 May →
cache12–12-0.0128%10 May →
cache6–13-0.0213%6 May →
cache2–13-0.0324%3 May →
cache13–60.0429%3 May →
cache9–130.1541%3 May →
cache13–50.0321%3 May →
sanctum3–9-0.0217%29 Apr →
cache13–60.0136%29 Apr →
cache10–13-0.0222%29 Apr →
cache13–9-0.0343%29 Apr →
mirage13–9-0.0718%29 Mar →
dust26–130.0226%29 Mar →
anubis7–13-0.0327%29 Mar →
dust21–13-0.1042%22 Mar →
overpass8–13-0.0817%13 Feb →
dust213–110.0630%13 Feb →
dust213–100.0425%10 Feb →
inferno11–130.0121%25 Jan →
dust213–70.0330%25 Jan →
anubis7–13-0.0324%25 Jan →
dust213–100.0330%25 Jan →
dust212–120.0121%13 Jan →
anubis7–13-0.0028%13 Jan →
inferno4–13-0.0329%4 Jan →
dust28–13-0.0433%4 Jan →
ancient13–50.0631%4 Jan →
inferno1–13-0.0816%4 Jan →
inferno16–13-0.0314%13 Dec →
dust213–6-0.0124%13 Dec →
train11–130.0640%10 Nov →
inferno6–13-0.0022%9 Nov →
ancient8–130.0121%8 Nov →
mirage8–130.0138%3 Nov →
ancient11–130.0229%2 Nov →
dust213–60.1133%2 Nov →
overpass13–10-0.0336%2 Nov →
inferno13–9-0.0522%27 Oct →
dust24–20.0025%27 Oct →
train13–11-0.0229%25 Oct →

Match data via Leetify.

Recent teammates

Milestones

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

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